Analytics Engineer

Job description

ABOUT THE COMPANY Join a team driving data strategy for one of Europe's largest software groups, working on platforms like VSIL (Visma Shared Intelligence Layer) and Visma Data Foundation — with real investment in making AI a first-class part of how the data organization operates, not an afterthought. ABOUT THE ROLE We're looking for an Analytics Engineer to join our Group Data & Analytics team and help shape how data gets modeled, tested, and delivered across Visma. You'll work hands-on across the full analytics stack — from modelling and transformation to dashboards and stakeholder-facing analysis — turning raw, Group-wide data into trusted, well-governed models that power decision-making across the organisation. This is an AI-heavy role: you'll be expected to use AI tools as a core part of your daily workflow — not just for writing SQL faster, but for documentation, testing, code review, data modeling design discussions, and increasingly, building AI-assisted or agentic data workflows. We want someone who's genuinely curious about how AI changes the way analytics engineering gets done, with a habit of experimenting and bringing learnings back to the team — not just someone who tolerates it. WHAT'S IT ALL ABOUT? Data modelling and transformation Design, build, and maintain robust dimensional data models and transformation pipelines using SQL and dbt in BigQuery Profile, clean, and verify data before publishing; write and maintain dbt tests to guarantee quality Contribute to the design and adoption of a semantic/metrics layer for consistent, governed self-service analytics Monitor pipeline observability and alerts, troubleshoot failures, and actively reduce technical debt Analysis and insight Build and maintain trustworthy, user-friendly dashboards in Data Studio Perform descriptive, diagnostic, and statistical analyses to surface patterns, operational bottlenecks, and strategic opportunities Partner with data engineers, analysts, and business stakeholders across the group to define consistent metrics and reusable data models Advise colleagues on analytics best practices AI-assisted development and analytics Use Claude and other AI tools extensively — for code generation, review, documentation, debugging, and testing Explore and pilot AI-driven approaches to analysis, such as natural-language querying over the semantic layer, and agentic data workflows Help shape responsible AI adoption in the team: evaluate tools, share what works, and ensure AI-generated code and outputs meet the same quality, security, and governance standards as everything else Exercise sound judgment about AI-generated output — verify rather than trust, and keep data privacy and confidentiality front of mind Ways of working Work as a developer in a Scrum team, using Git/GitHub, code review, and CI/CD workflows Refine user stories and requirements with the Data Product Manager into technical specifications and deliverables Maintain technical documentation and release traceability; log bugs and improvement ideas in Jira Contribute to continual process improvement Governance and security Ensure data models and transformations follow established data governance standards, with strict separation of development, test, and production environments Apply access control, data classification, and data handling protocols, including proper treatment of personal data (PII) and confidential financial and operational records in line with GDPR WHAT DO WE EXPECT? Experience working as an Analytics Engineer, Data Analyst, or in a similar role focused on data modelling and visualisation. Advanced SQL knowledge and solid, hands-on experience with dbt. Practical experience with a major cloud platform ( GCP ) and a cloud data warehouse ( BigQuery ). Experience with Data Studio or similar BI visualisation tools. Comfort with Git/GitHub workflows (branching, PRs, code review). Analytical and statistical skills for data profiling, verification, and problem solving. Hands-on experience building and maintaining dbt projects — models, tests, documentation, and macros — in a production environment. Genuine, active experience using AI tools ( Claude, Copilot, ChatGPT, etc. ) in a technical workflow — able to speak concretely about how you use them, not just that you have. High attention to detail, a proactive approach to risk, and a commitment to data security. Adaptability to changing demands and expectations. Excellent written and spoken English. NICE TO HAVE Experience in a large, multi-product organization with distributed data ownership Familiarity with data governance, data contracts, or semantic/metrics layer tooling Interest in exploring agentic AI workflows for data engineering tasks Experience with Python for auxiliary tooling or automation WHAT SHOULD YOU EXPECT? Technological expertise We love our code clean. 🧽 We review each other's code on a regular basis (unit/integration testing, OOD principles and so much more). We constantly perfect our technological competence through events such as my developers days and cross-platform code reviews and so will You! You’ll be working with the field’s top-notch specialists and one of them will become your “coach”. 💪 Also here in Visma we have an international network of specialists within the organisation to build Your rep and skills even stronger. We have internal knowledge sharing sessions where we learn the newest trends in programming languages, QA, security, etc. 💻 We also have our own library and anyone can order new books, as well as use online licences to various learning sites, get certifications, etc. 📖 Shaping the future with AI 🤖 - GitHub Copilot, Cursor, CodeRabbit, Gemini, etc. - we use these tools daily. No-management We, the employees at Visma, make the final call. 📢 You’ll be able to join 1 of 5 committees which steer the company. Well-being We care about Your physical and mental health, that’s why we will provide You with private health insurance and a chance to seek mental support from our partners if needed. 💆‍♀️💆‍♂️ Comfort When You're feeling like taking a break feel free to use our lounges, nap rooms. 🛋️ You can also take up a relaxing activity such as playing a guitar, playing a video game or express your creativity in our techie corner. 🎮 We celebrate Fridays - a variety of different food teams to choose from and it’s on us! 🍕 Parking space near the office is free of charge (in Vilnius office parking space depends on your attendance to the office). 🚗 Want to use a greener alternative? During the warm season we also offer credit for renting a CycloCity. 🚲 Not enjoying office vibes today? Are you looking for more flexibility than a traditional 9 to 5 schedule? No worries, we have a flexible approach when it comes to work hours and remote work policies.🏘️ Financial expectations Gross salary 4000-5300 EUR. 💸 Keep in mind that we are open to discuss your salary based on your competence and experience. APPLY NOW! Looks like something you might be interested in? Send us your CV! Only shortlisted candidates will be contacted.