Lediga job som Civilingenjör i datateknik

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.

Data är en av dagens viktigaste tillgångar, men det är först när den är tillgänglig, tillförlitlig och användbar som den skapar verkligt affärsvärde. Vi på Edge söker nu en Senior Data Engineer som vill vara med och utveckla moderna dataplattformar och skapa lösningar som hjälper våra kunder att fatta bättre beslut, effektivisera verksamheten och lägga grunden för framtidens analys och AI-lösningar.

Som konsult hos Edge får du arbeta i spännande uppdrag hos ledande företag och organisationer inom bland annat finans, offentlig sektor, industri, retail och tech. Du blir en del av engagerade team där du samarbetar nära verksamheten, arkitekter, utvecklare och analytiker för att omsätta affärsbehov till hållbara och skalbara datalösningar.

Som Senior Data Engineer ansvarar du för att designa, utveckla och vidareutveckla moderna dataplattformar i molnet. Du arbetar genom hela dataflödet från insamling och transformation till datamodellering och leverans av data till analys, rapportering och AI-lösningar.

Du kommer att bygga robusta data pipelines, optimera prestanda och säkerställa hög datakvalitet samtidigt som du bidrar till moderna arbetssätt inom DataOps, DevOps och automatisering. Rollen innebär ett nära samarbete med både tekniska team och verksamheten där du hjälper till att omsätta komplexa behov till smarta och långsiktiga lösningar.

Du kommer bland annat att:

• Designa och utveckla moderna data pipelines och dataplattformar.

• Bygga ETL och ELT flöden för stora datamängder.

• Arbeta med Data Lake, Lakehouse och Data Warehouse lösningar.

• Modellera och strukturera data för analys, BI och AI.

• Optimera prestanda, datakvalitet och skalbarhet.

• Automatisera leveranser genom CI/CD och Infrastructure as Code.

• Samarbeta med verksamheten för att förstå och omsätta affärsbehov till tekniska lösningar.

• Bidra med teknisk rådgivning och kontinuerlig förbättring av kundernas dataplattformar.

Vi söker dig som har ett genuint intresse för modern Data Engineering och som trivs med att lösa komplexa problem. Du är van att ta ansvar, arbetar strukturerat och uppskattar samarbeten där kunskapsdelning och kvalitet står i fokus.

Du har en god kommunikativ förmåga och känner dig lika bekväm i tekniska diskussioner som i dialog med verksamheten. Du är nyfiken på ny teknik och vill fortsätta utvecklas inom moderna dataplattformar och molnlösningar.

För att lyckas i rollen ser vi att du har:

• Minst 8 års erfarenhet som Data Engineer eller motsvarande.

• Mycket goda kunskaper i Python och SQL.

• Erfarenhet av moderna cloudplattformar såsom Azure, AWS eller Google Cloud Platform.

• Erfarenhet av Databricks, Snowflake eller liknande dataplattformar.

• God kunskap inom ETL/ELT, datamodellering och Data Warehouse/Lakehouse.

• Erfarenhet av Spark, DBT, Airflow eller liknande tekniker.

• Erfarenhet av Git, Docker och CI/CD.

• Erfarenhet av agila arbetssätt och DevOps.

• Goda kunskaper i svenska och engelska, både i tal och skrift.

Vi ser det som ett extra plus om du har erfarenhet av:

• Microsoft Fabric

• Terraform eller annan Infrastructure as Code

• Kafka eller streamingplattformar

• Kubernetes

• Delta Lake, Iceberg eller Hudi

• Power BI, Tableau eller Looker

• Data Mesh och Data Products

• AI-, Machine Learning eller GenAI-lösningar

• Certifieringar inom Azure, AWS eller Google Cloud Platform

Hos Edge får du möjlighet att arbeta med några av marknadens mest intressanta data och digitaliseringsprojekt. Vi erbjuder varierande uppdrag, stora möjligheter till kompetensutveckling och en kultur där samarbete, kvalitet och långsiktiga relationer står i centrum.

Vi välkomnar både dig som söker en projektanställning och dig som driver eget konsultbolag och vill samarbeta med oss i framtida uppdrag.

Låter detta som nästa steg i din karriär? Skicka gärna ditt CV. Urval sker löpande och vi ser fram emot att höra från dig.

Välkommen till Edge of Talent – tillsammans bygger vi framtidens datalösningar.