Analytics Engineer

Descripción del puesto:

We're looking for a high-impact Analytics Engineer who thrives in dynamic environments and enjoys working across the stack - from investigating root-cause issues in production data to adjusting backend services and occasionally fine-tuning dashboards.
This is not a cookie-cutter analytics role. You'll navigate backend APIs, ETL pipelines, and real business logic - often being the first to explore unfamiliar processes and figure things out when documentation is missing or assumptions fail.
You won't be building core systems from scratch - your impact will come from owning, adapting and evolving the data and logic we already have in place. Whether it's fixing a broken process, extending existing datasets, tweaking a DBT model, or adjusting the logic behind a Power BI report, you'll be directly contributing to keeping our analytics platform reliable, auditable, and useful to the business.
We don't expect you to know everything on day one - what matters most is how you approach problems, your ability to learn quickly, and your focus on quality and ownership.

What you'll actually work on:

* Improve, debug and fix broken or inconsistent data processes in existing Python/DBT pipelines to ensure our data products are highly reliable and our clients trust the insights we deliver.
* Investigate data anomalies and perform root-cause analysis to guarantee the integrity of data that drives multi-million dollar business decisions for our international clients.
* Integrate data from third-party APIs into our reporting systems to provide a complete, holistic view of business performance.
* Occasionally adjust Power BI visuals or support refresh/integration issues.
* Support deployments, monitoring, and release cycles to help ensure system reliability and high performance in production environments.
* Work closely with colleagues and the client, documenting processes, and managing work through Jira and internal tools.

Daily work reality:

* You would work as part of the 'Kolibris' team, a dedicated squad focused on delivering end-to-end data solutions for one of our key international clients, with clear ownership areas.
* A fast-moving, dynamic environment is part of the reality here - not a temporary phase.
* Reading, understanding, and debugging code written by others is a normal and expected part of the job.

Core skills we expect from you:

* Solid experience working with Python and SQL in production contexts
* Comfort navigating and modifying existing backend services and data logic
* Ability to read and debug unknown code - even when documentation is limited
* Familiarity with AWS, job orchestration, and basic cloud
* Working knowledge of version control (Git) and release processes
* Strong analytical thinking, attention to detail, and ownership mindset
* Fluent English and clear communication with technical and non-technical stakeholders
* Desire to learn continuously - including new tools, languages, or systems
* Self-driven, reliable, and able to ask for help when needed.

Nice to have:

* Supporting Power BI through backend data and refresh logic.
* Experience with monitoring and alerting tools (CloudWatch, Zabbix, etc.).
* Exposure to production support or live system incidents.
* Interest in building or improving data governance processes.
* Basic frontend or scripting experience (e.g., React).
* Understanding of SDLC and client-facing / consulting environments.

What we offer:

* Monthly salary: EUR3490 - EUR5100 gross, depending on experience and scope.
* Participation in the company's stock options program.
* Flexible benefits and a personal learning budget.
* 10 Growth Days per year dedicated to learning and development.
* Real ownership and autonomy in your role.
* Hybrid work model, with flexibility and a preference for at least one day per week in the office.
* Support from experienced colleagues across data, analytics and AI.
* A strong, international team that values openness and collaboration.

More about us:

Exacaster builds production-grade data, analytics, and applied AI systems for large-scale, real-world environments, helping our clients impact the daily lives of over 40 million consumers across the Baltics, the USA, Central and South America, and the Caribbean.
We work across three core areas: Customer Value Management (CVM), Data Management, and AI Accelerators. Our CVM platforms and services support telecom clients serving 20+ million subscribers across 16 countries, alongside data, BI, and analytics projects in other industries. We also build applied AI and ML solutions, including GenAI use cases and MLOps / AIOps capabilities, focused on production rather than experimentation. Across all work, we deal with high-volume, imperfect data and design systems used for real decision-making