Lediga job som Agil coach

If you’re looking to make the best co-op games in the world, you’ve come to the right place. We're proud to have some of the best game makers and collaborators in the industry working with us. What's more, we're a fun bunch of game developers, who love to indulge in our passion for video games together. Our games are not for everyone. Are they for you?

As a Data Engineer, you will play a key role in the design, optimization, and operation of our data infrastructure and backend systems. You will work closely with a collaborative team of engineers, focusing on technologies such as SQL Server, Azure Data Factory, Azure, C# and ASP.NET Core. If you are passionate about building scalable, efficient, data-driven backend solutions, we want to hear from you.

Who you are:

• You have experience tuning all aspects of SQL Server, including query and execution-plan analysis and know exactly where to place the right index.

• Your savvy troubleshooting skills include identifying and mitigating locking and concurrency issues.

• You know what is important when it comes to observability and monitoring, what needs acting on as well as identifying blind spots.

• You are comfortable automating and orchestrating repetitive tasks such as reports and data exports.

• You are experienced with data classification and different retention needs.

• You have experience in backend development using C# and ASP.NET Core.

• You are familiar with cloud platform providers such as Azure and their data infrastructure services.

What you'll do:

• Database management: Design and implement efficient database structures using SQL Server, optimizing data storage, and retrieval for optimal system performance.

• Database operations: Ensure database operations under sustained production load are healthy and performant, supporting both players, designers and fellow developers in their day-to-day activities.

• Database observability: Create and maintain alert rules, the SQL metrics exporter, Grafana dashboards, and Extended-Events-based performance diagnostics.

• Data pipelines: Operate and evolve the Azure Data Factory pipelines, maintenance, and telemetry events.

• Application development: Design and develop backend solutions using C#, ASP.NET Core, and Microsoft Orleans, ensuring high performance, scalability, and maintainability.

• Cloud integration: Utilize Azure services to build and optimize cloud-based backend components, ensuring seamless integration with our applications.

• Collaboration: Work closely with cross-functional teams and external stakeholders to understand requirements, provide technical insights, and ensure the successful delivery of projects.

• Azure SQL Server, Azure Data Factory, NET/C#, ASPNET Core, Docker, Kubernetes/AKS, CosmosDB, Redis, Grafana, MS Orleans, Kafka

If you think that this position matches your background and skills, we would love to hear from you. Please submit your CV in English as soon as possible. We ask that your application always include relevant work samples or a link to your portfolio.

We interview candidates continuously and hire when we find a good fit.

Scope: Full-time: 40 hours per week with initial 6 month probation period. Location: Office first.

We are a pet friendly office! You can expect to find cute dogs and occasionally some cats around.

Arrowhead Game Studios is a growing team of about 140+ people, best known for our co-op titles. Despite our size, we remain a friendly and down to earth bunch, who love to indulge in our passion for video games together.

Located in the heart of Södermalm, in Fatburen in the middle of the Game Dev scene we enjoy everything Stockholm has to offer. The is a a lot of different types of activities immediately available on our doorstep.

Our talented developers are crucial to our success, therefore we put a lot of emphasis in creating and maintaining a prosperous culture. We’re committed to open and transparent communication. Your ideas are welcomed, valued, appreciated - the ceiling for creative discussions is high.

We also have numerous work benefits for all our employees. You can read about them here!

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.

We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions.

If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.

Our Tech Stack

• Data Warehouse: Snowflake

• Transformation & Governance: dbt

• Orchestration: Apache Airflow

• Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD

• Languages: SQL, Python

You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.

Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.

You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions.

What You’ll Do

• Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.

• Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.

• Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.

• Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.

• Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.

• Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.

• Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.

What You Bring

• Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.

• Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.

• Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.

• Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices.

• Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.

• Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.

• Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

What’s In It For You?

• Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.

• Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI.

• Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.

• Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.

• Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.

(Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.)

Ready to build something iconic?

Don't just wait, we review applications continuously and are eager to meet you! Apply today.