Data scientist - Lediga jobb

Analytics Engineer

Stockholm or Munich | Full-time

The Role:

As an Analytics Engineer, you’ll help shape how data is structured, accessed, and used across the business. You’ll work closely with stakeholders to build reliable, scalable data solutions that support smarter decisions.

As a vital member of our international IT organization, you will be involved in the foundation of our internal product development and will join the cross-functional data team that is responsible for developing and maintaining Netlight's business-critical data platform and strives to decentralize analytics. That is why it is important that you are a self-driven person, who is comfortable with taking initiative and responsibility, as well as a service-minded and communicative team player.

Who you are:

• A trusted communicator who builds relationships across technical and non-technical stakeholders and translates data into decisions.
• Self-driven and proactive, but also team-oriented, with sound judgment on when to lean on AI tools for speed and when human oversight and design thinking matter more.
• Comfortable working in ambiguity — organized yet flexible, able to adapt as tools, priorities, and team structures evolve quickly.
• A curious, fast learner with a growth mindset — genuinely energized by new tools, AI-assisted workflows, and continuously raising your own technical bar.

Qualifications

We are looking for someone with:

• A degree in a quantitative field (e.g. software engineering, computer science, economics, mathematics, statistics) — if you think you’re a great fit, we want to hear from you!
• At least 2+ years of relevant experience in fields like Analytics Engineering, Data Engineering, Data Analytics, Data Science, or Software Development.
• Strong SQL skills, with hands-on experience building and testing data models in dbt on a cloud warehouse, and an understanding of dimensional data modeling (star schemas, facts and dimensions).
• Solid grasp of version control with Git, including CI/CD workflows for data pipelines.
• Familiarity with Python for data transformation, automation, and light pipeline work.
• Fluency in written and spoken English (business level).
• Comfort working with AI copilots and AI-assisted analytics tools (e.g. Copilot-style code/doc generation, AI BI assistants) while maintaining human oversight on data quality and design.

Nice to have:

• Experience with, or strong interest in, semantic layers and metric governance — ensuring a single, trusted definition of key business metrics that both humans and AI tools can rely on.

What you will do:

You will join the cross-functional data team responsible for Netlight's data platform, enabling decentralized analytics across the organisation. Your key focus areas will be:

• Data Modeling & Quality: Transform raw data into clean, usable datasets for analytics, business intelligence, and AI use cases. Collaborate with stakeholders to define and maintain a semantic layer and single source of truth for key business metrics. Ensure data quality and consistency across teams and tools, and build robust, well-documented data models using Snowflake and dbt.
• Governance & Enablement: Provide compliant, user-friendly access to data across various tools (e.g. Power BI, Excel, or AI-powered BI assistants). Empower users of all technical levels — including AI agents — to find, understand, and securely query the data they need. Own the data access lifecycle end-to-end, balancing self-service efficiency with security, privacy, and compliance requirements. Maintain clear documentation and metadata (data catalog, definitions, lineage, ownership).
• Optimization & Agile Delivery: Continuously evaluate and improve data models for performance and scalability. Contribute to agile ways of working, participating in planning, refinement, and delivery cycles. Stay current with emerging tools and practices in the data stack (e.g. orchestration, observability, AI-assisted development) and help the team adopt what is genuinely useful.

What we offer:

• The possibility to be a core part of one of the most successful IT-consultancy companies in the industry
• Professional development and long-term career progression through knowledge sharing, mentorship, feedback, coaching, and external training
• Modern and centrally located offices in Stockholm or Munich
• A culture centered around community, collaboration, and continuous learning, complemented by social and competence-building events
• Everything you need to do your magic (computer, phone, mobile subscription)
• Mental health & parental support offerings
• 30 days of paid vacation.

Specific benefit package if positioned in Stockholm:

• 5000 sek / year in health care benefit (“friskvård”)
• Private pension savings

Specific benefit package if positioned in Munich:

• Deutschlandticket
• Wellpass

About us

Netlight is a global consulting company, turning complex needs into practical, real changes.

Come work with us

You will join a company built around personal responsibility, collaboration, and continuous learning. Different backgrounds, experiences, and perspectives make that possible, and we welcome applicants of all identities.

Apply today

This is a full-time role based in Stockholm or Munich, with a start date as soon as possible. Please read the required qualifications carefully: fluency in English is essential.

Send us your current CV in English. Links to relevant projects, GitHub, or any repositories are welcome. If your profile looks like a match, you will hear from us within two weeks of applying. We look forward to hearing from you.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

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

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

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

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for a Python Engineer

What You Will Work On

• Design, build, test and maintain Python services and applications
• Develop APIs, integrations, background jobs and data flows
• Build customer-facing journeys and internal tools
• Work with SQL, NoSQL and data modelling
• Develop and maintain web applications
• Work with HTML and JavaScript
• Explore and develop with HTMX
• Improve code quality, observability, reliability and maintainability
• Participate in code reviews and technical design discussions
• Troubleshoot incidents and production issues
• Simplify systems and reduce unnecessary complexity
• Work with product, design, architecture, operations and security teams
• Work with both on-site and offshore team members
• Contribute to microservices, event-driven and distributed systems
• Apply AI and GenAI capabilities where relevant

For Senior / Staff Engineers

• Shape technical direction and architecture
• Make architecture and technology decisions
• Mentor and coach other engineers
• Improve engineering standards across teams
• Drive improvements in quality, delivery and ownership
• Contribute to AWS cloud architecture and platform decisions
• Balance speed, simplicity, risk and maintainability

What You Bring

• Strong Python development skills
• Experience building web applications, APIs or backend services
• Understanding of SQL, NoSQL and data modelling
• Experience with testing and version control
• Good understanding of web application fundamentals
• Knowledge of HTML and JavaScript
• Familiarity with server-rendered web applications
• Interest or experience in HTMX
• Ability to reason about technical design and trade-offs
• Strong collaboration and communication skills
• Willingness to continuously learn and improve
• Experience working in agile, collaborative engineering teams
• Fluent English, written and spoken

Analytics Engineer

Stockholm or Munich | Full-time

The Role:

As an Analytics Engineer, you’ll help shape how data is structured, accessed, and used across the business. You’ll work closely with stakeholders to build reliable, scalable data solutions that support smarter decisions.

As a vital member of our international IT organization, you will be involved in the foundation of our internal product development and will join the cross-functional data team that is responsible for developing and maintaining Netlight's business-critical data platform and strives to decentralize analytics. That is why it is important that you are a self-driven person, who is comfortable with taking initiative and responsibility, as well as a service-minded and communicative team player.

Who you are:

• A trusted communicator who builds relationships across technical and non-technical stakeholders and translates data into decisions.
• Self-driven and proactive, but also team-oriented, with sound judgment on when to lean on AI tools for speed and when human oversight and design thinking matter more.
• Comfortable working in ambiguity — organized yet flexible, able to adapt as tools, priorities, and team structures evolve quickly.
• A curious, fast learner with a growth mindset — genuinely energized by new tools, AI-assisted workflows, and continuously raising your own technical bar.

Qualifications

We are looking for someone with:

• A degree in a quantitative field (e.g. software engineering, computer science, economics, mathematics, statistics) — if you think you’re a great fit, we want to hear from you!
• At least 2+ years of relevant experience in fields like Analytics Engineering, Data Engineering, Data Analytics, Data Science, or Software Development.
• Strong SQL skills, with hands-on experience building and testing data models in dbt on a cloud warehouse, and an understanding of dimensional data modeling (star schemas, facts and dimensions).
• Solid grasp of version control with Git, including CI/CD workflows for data pipelines.
• Familiarity with Python for data transformation, automation, and light pipeline work.
• Fluency in written and spoken English (business level).
• Comfort working with AI copilots and AI-assisted analytics tools (e.g. Copilot-style code/doc generation, AI BI assistants) while maintaining human oversight on data quality and design.

Nice to have:

• Experience with, or strong interest in, semantic layers and metric governance — ensuring a single, trusted definition of key business metrics that both humans and AI tools can rely on.

What you will do:

You will join the cross-functional data team responsible for Netlight's data platform, enabling decentralized analytics across the organisation. Your key focus areas will be:

• Data Modeling & Quality: Transform raw data into clean, usable datasets for analytics, business intelligence, and AI use cases. Collaborate with stakeholders to define and maintain a semantic layer and single source of truth for key business metrics. Ensure data quality and consistency across teams and tools, and build robust, well-documented data models using Snowflake and dbt.
• Governance & Enablement: Provide compliant, user-friendly access to data across various tools (e.g. Power BI, Excel, or AI-powered BI assistants). Empower users of all technical levels — including AI agents — to find, understand, and securely query the data they need. Own the data access lifecycle end-to-end, balancing self-service efficiency with security, privacy, and compliance requirements. Maintain clear documentation and metadata (data catalog, definitions, lineage, ownership).
• Optimization & Agile Delivery: Continuously evaluate and improve data models for performance and scalability. Contribute to agile ways of working, participating in planning, refinement, and delivery cycles. Stay current with emerging tools and practices in the data stack (e.g. orchestration, observability, AI-assisted development) and help the team adopt what is genuinely useful.

What we offer:

• The possibility to be a core part of one of the most successful IT-consultancy companies in the industry
• Professional development and long-term career progression through knowledge sharing, mentorship, feedback, coaching, and external training
• Modern and centrally located offices in Stockholm or Munich
• A culture centered around community, collaboration, and continuous learning, complemented by social and competence-building events
• Everything you need to do your magic (computer, phone, mobile subscription)
• Mental health & parental support offerings
• 30 days of paid vacation.

Specific benefit package if positioned in Stockholm:

• 5000 sek / year in health care benefit (“friskvård”)
• Private pension savings

Specific benefit package if positioned in Munich:

• Deutschlandticket
• Wellpass

About us

Netlight is a global consulting company, turning complex needs into practical, real changes.

Come work with us

You will join a company built around personal responsibility, collaboration, and continuous learning. Different backgrounds, experiences, and perspectives make that possible, and we welcome applicants of all identities.

Apply today

This is a full-time role based in Stockholm or Munich, with a start date as soon as possible. Please read the required qualifications carefully: fluency in English is essential.

Send us your current CV in English. Links to relevant projects, GitHub, or any repositories are welcome. If your profile looks like a match, you will hear from us within two weeks of applying. We look forward to hearing from you.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

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

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

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

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

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

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

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

Analytics Engineer

Stockholm or Munich | Full-time

The Role:

As an Analytics Engineer, you’ll help shape how data is structured, accessed, and used across the business. You’ll work closely with stakeholders to build reliable, scalable data solutions that support smarter decisions.

As a vital member of our international IT organization, you will be involved in the foundation of our internal product development and will join the cross-functional data team that is responsible for developing and maintaining Netlight's business-critical data platform and strives to decentralize analytics. That is why it is important that you are a self-driven person, who is comfortable with taking initiative and responsibility, as well as a service-minded and communicative team player.

Who you are:

• A trusted communicator who builds relationships across technical and non-technical stakeholders and translates data into decisions.
• Self-driven and proactive, but also team-oriented, with sound judgment on when to lean on AI tools for speed and when human oversight and design thinking matter more.
• Comfortable working in ambiguity — organized yet flexible, able to adapt as tools, priorities, and team structures evolve quickly.
• A curious, fast learner with a growth mindset — genuinely energized by new tools, AI-assisted workflows, and continuously raising your own technical bar.

Qualifications

We are looking for someone with:

• A degree in a quantitative field (e.g. software engineering, computer science, economics, mathematics, statistics) — if you think you’re a great fit, we want to hear from you!
• At least 2+ years of relevant experience in fields like Analytics Engineering, Data Engineering, Data Analytics, Data Science, or Software Development.
• Strong SQL skills, with hands-on experience building and testing data models in dbt on a cloud warehouse, and an understanding of dimensional data modeling (star schemas, facts and dimensions).
• Solid grasp of version control with Git, including CI/CD workflows for data pipelines.
• Familiarity with Python for data transformation, automation, and light pipeline work.
• Fluency in written and spoken English (business level).
• Comfort working with AI copilots and AI-assisted analytics tools (e.g. Copilot-style code/doc generation, AI BI assistants) while maintaining human oversight on data quality and design.

Nice to have:

• Experience with, or strong interest in, semantic layers and metric governance — ensuring a single, trusted definition of key business metrics that both humans and AI tools can rely on.

What you will do:

You will join the cross-functional data team responsible for Netlight's data platform, enabling decentralized analytics across the organisation. Your key focus areas will be:

• Data Modeling & Quality: Transform raw data into clean, usable datasets for analytics, business intelligence, and AI use cases. Collaborate with stakeholders to define and maintain a semantic layer and single source of truth for key business metrics. Ensure data quality and consistency across teams and tools, and build robust, well-documented data models using Snowflake and dbt.
• Governance & Enablement: Provide compliant, user-friendly access to data across various tools (e.g. Power BI, Excel, or AI-powered BI assistants). Empower users of all technical levels — including AI agents — to find, understand, and securely query the data they need. Own the data access lifecycle end-to-end, balancing self-service efficiency with security, privacy, and compliance requirements. Maintain clear documentation and metadata (data catalog, definitions, lineage, ownership).
• Optimization & Agile Delivery: Continuously evaluate and improve data models for performance and scalability. Contribute to agile ways of working, participating in planning, refinement, and delivery cycles. Stay current with emerging tools and practices in the data stack (e.g. orchestration, observability, AI-assisted development) and help the team adopt what is genuinely useful.

What we offer:

• The possibility to be a core part of one of the most successful IT-consultancy companies in the industry
• Professional development and long-term career progression through knowledge sharing, mentorship, feedback, coaching, and external training
• Modern and centrally located offices in Stockholm or Munich
• A culture centered around community, collaboration, and continuous learning, complemented by social and competence-building events
• Everything you need to do your magic (computer, phone, mobile subscription)
• Mental health & parental support offerings
• 30 days of paid vacation.

Specific benefit package if positioned in Stockholm:

• 5000 sek / year in health care benefit (“friskvård”)
• Private pension savings

Specific benefit package if positioned in Munich:

• Deutschlandticket
• Wellpass

About us

Netlight is a global consulting company, turning complex needs into practical, real changes.

Come work with us

You will join a company built around personal responsibility, collaboration, and continuous learning. Different backgrounds, experiences, and perspectives make that possible, and we welcome applicants of all identities.

Apply today

This is a full-time role based in Stockholm or Munich, with a start date as soon as possible. Please read the required qualifications carefully: fluency in English is essential.

Send us your current CV in English. Links to relevant projects, GitHub, or any repositories are welcome. If your profile looks like a match, you will hear from us within two weeks of applying. We look forward to hearing from you.