Data Engineer
We are in the process of building a modern data warehouse that underpins how the business uses data. As a Data Engineer, you help shape the pipelines and data models that enable analytics, forecasting, and AI use cases across the company. The role is hands-on and collaborative, with opportunities to influence the overall data platform design.
What you will work on
Design, build, and optimise scalable data pipelines and lakehouse architectures using Azure Databricks, Apache Spark, and Delta Lake.
Develop and operate production-grade ETL/ELT workflows for analytical and operational use cases.
Build and maintain analytics-ready data models using dbt.
Ensure data quality, reliability, and performance through monitoring, testing, and best practices.
Collaborate with domain analysts and business stakeholders to deliver well-structured, reusable datasets.
Contribute to data platform and architecture design, including deployment patterns, security, and scalability.
Prepare and manage datasets used for AI/ML models and advanced analytics.
Document data pipelines, schemas, and workflows to support clarity and long-term maintainability.
What describes you
Experience in data engineering or analytics engineering roles.
Hands-on experience with Azure Databricks (or similar platforms) in production environments.
Hands-on experience with Apache Spark for large-scale data processing.
Strong skills in SQL and Python for data transformation and pipeline development.
Experience using dbt to build, test, and document data models.
Experience working with time-series data or complex analytical datasets.
Genuine interest in renewable energy and an eagerness to use new solutions and AI.
What we offer
Support for your wellbeing, inside and outside work - a quarterly sports allowance via Stebby, comprehensive employer-provided health insurance (including dental care and specialist visits), and access to mental health counselling and coaching via siffi.com.
Time to rest and reset - 28 working days of annual leave, counted only in working days and easy to use flexibly, plus additional paid days off, including health days and leave for important life events.
Room to grow professionally - meaningful, hands-on challenges and a dedicated training budget for courses, certifications, and conferences, alongside internal learning opportunities to support your development.
Flexible hybrid work - we work in a hybrid way, with no fixed rules on office days. You are trusted to balance remote work with time in the office, and while much can be done remotely, a lot happens in the office and being there regularly makes collaboration easier.
Work that contributes to the energy transition - you will be part of a team building and scaling renewable energy across the region, working on services that support a more sustainable energy system.
If you are excited about contributing to the renewable energy sector, we would love to hear from you! We review applications on an ongoing basis, so we encourage you to apply as soon as possible.
- Department
- IT, Digitalisation & Security
- Role
- Data Engineer
- Locations
- Tallinn
About Sunly
Sunly is a demand-driven energy company, dedicated to developing and operating renewable energy projects across the Baltics and Poland, while also investing in startups in the electrification sector and selling 100% renewable electricity to consumers in Estonia. At the heart of Sunly’s mission is renewable energy production, making sure that everyone can use it as an energy source. We are not a passive utility, but an active, flexible energy provider for the future.