Analytics Engineer (in-house)

Job description

We are looking for a full-time Analytics Engineer in-house (m/f/d) to join our motivated global Insights team starting as soon as possible in the Stockholm or Munich office. ### 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 - Based in Stockholm or Munich - 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 - Fluent 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 - Bonus: 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 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. **Data Modeling & Quality** - Transform raw data into clean, usable datasets for analytics and 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. - Build and maintain 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) so both people and AI tools can trust and correctly interpret the data **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's genuinely useful. ### What we offer - The possibility to be a core part of one of the most successful IT-consultancy companies in the industry - and contribute to the continued growth of our thriving Stockholm office. - 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 Munich:** - Deutschlandticket - Wellpass **Specific benefit package if positioned in Stockholm:** - 5000 sek / year in health care benefit (“friskvård”) - Private pension savings