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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
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.
- 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.
- 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.
Key Skills
Ranked by relevance
apache
spark
data warehouse
python
sql
ai
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- Posted
- Apr 09, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Tallinn
- Company
- Sunly
Industries
Renewable Energy Power Generation
Categories
Information Technology
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