Senior Analytics Engineer

You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.

As our Senior Analytics Engineer, you will bridge the gap between complex engineering infrastructure and commercial decision-making, taking full ownership of our core metrics and data modeling. We are rapidly scaling our data ecosystem to handle hundreds of terabytes, making this the perfect time to build scalable data models, streamline automated workflows, and shape our overall analytics architecture. Your challenge is to tame massive, high-volume datasets into trusted, actionable insights while building robust end-to-end data automations that directly impact business growth.

• Partner with analysts to define and maintain the global view of company metrics, participating in discussions to support crucial commercial decisions;
• Push the limits of dbt by developing scalable data models and writing custom macros to handle complex business logic, ensuring our code remains DRY and efficient;
• Build end-to-end automations (using Python and Airflow) to handle API integrations and reverse ETL processes that sync data back to operational systems;
• Manage data pipelines by implementing rigorous monitoring and data quality tests to guarantee trust in the numbers.

• Advanced experience structuring dbt projects, optimizing performance, and building custom macros for complex business logic.
• Advanced proficiency in SQL alongside strong programming skills in Python for building robust pipeline automations.
• Strong experience with cloud data platforms (GCP, AWS, or Snowflake) paired with hands-on practice in Git, Docker, and CI/CD pipelines.
• High sense of ownership with the ability to prototype automated solutions quickly and actively contribute to deep engineering discussions.
• Professional written and spoken fluency in both English and Lithuanian.

Nice to have

• Experience implementing reverse ETL patterns or operational analytics pipelines.
• Background working in e-commerce, web scraping, or other high-volume, high-throughput data domains.

• 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
• Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
• Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
• Bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need.
• Vast internal & external learning resources
• Guilds, communities & 500+ professionals by your side
• Tesonet network & knowledge sharing
• Yearly workation
• Year-round internal & Tesonet community events
• Team building budget
• Cyber City office perks
• Hybrid work (3 office days/ 2 WFH) & WFA options
• Latest tools, gadgets & tech stack
• Extra days off
• Special Tesonet product deals
• Private health insurance
• 24/7 gym
• Physical well-being specialists
• Psychologist/psychotherapist sessions
• Inclusive family-related time-off policy