Junior Analytics Engineer

At Exacaster we impact the lives of over 40 million consumers on a daily basis by working with clients in the Baltics, USA, Central and South America and the Caribbean. Overall, we operate one of the largest big-data environments in the Baltics, and we certainly have one of the most diverse sets of data and pursue some of the most challenging analytical projects.
Exacaster’s team is looking for a Junior Analytics Engineer to join our Kolibris team.

About the role: 
This role comes with hands-on ownership, direct communication with the client and the freedom to explore smarter ways to do things - often making you the first to dive into unfamiliar processes, ask the right questions, and figure things out when there’s no expert to ask.

Who should apply:

Expected from a new team member to work hands-on with SQL, Python, scripting, and job orchestration. Also have a possibility to grow into automation and CI/CD processes. We value ownership, analytical thinking, and the drive to figure things out independently - especially when documentation is scarce and the problem is ambiguous, so keep it in mind.

Your daily tasks will include:

• Perform SQL-based analysis to validate and understand data.
• Write ad-hoc scripts (Python or SQL) to automate manual tasks and test data scenarios, perform in-depth root cause analysis.
• Creation of extracts and structured datasets for internal audits and controls.
• Translate business logic and financial requirements into technical data models.
• Collaboration with dev and analyst teams to ensure alignment with backend data flows.
• Contribute to documentation for logic flows and data interfaces.
• Monitor and troubleshoot data pipelines (e.g. Airflow, custom scripts)
• Identify, escalate, improve and resolve failures in scheduled jobs, data refreshes, data integrity standards.
• Participate in code reviews and logic validations.
• Work with QA to validate features and regression outcomes.

We are looking for a person who has:

• Proficiency in SQL and querying large datasets.
• Understanding of data lineage and ETL pipelines from ingestion to reporting.
• Good knowledge of Python scripting.
• Familiarity with Git-based workflows and version control.
• Ability to debug and troubleshoot data and logic issues independently.
• Ability to assess the impact of changes on the process or system level.
• Attention to detail and awareness of process-level impact.
• Strong written and spoken English; confident communicating with stakeholders.
• Self-driven, structured and solution-oriented mindset.

Nice to have things:

• Experience in financial reporting, audit support or regulatory data flows.
• Exposure to job scheduling tools (Airflow, etc.).
• Understanding of CI/CD pipelines (GitLab).
• Knowledge of the SDLC and Agile delivery practices.
• Comfort using tools like Jupyter, Hue, Jira, Confluence.

We promise:

• Monthly salary for this position from 2160 EUR to 2700 EUR gross for a full time role.
• Participation in the company’s stock options program.
• Flexible Benefits & Personal learning budget.
• 10 Growth Days per year - dedicated time for learning and development.
• Ownership and dynamics in your role.
• Hybrid work environment with preferably at least 1 day per week in the office.
• All the support you need from our experienced team to become an even better professional.
• And the most important thing – you will be part of a great international team!