Analytics Engineer

**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.