Data Engineer

The company delivers end-to-end digital solutions across the full product lifecycle, from design and development through deployment and support.

• Build and scale robust data pipelines using Python, SQL, Airflow, and DBT;
• Develop and maintain real-time data processing solutions with Kafka and Spark Structured Streaming;
• Ingest and transform data from diverse sources and formats, including JSON, Avro, Parquet, and APIs;
• Contribute to the evolution of the data platform and overall architecture;
• Deploy and manage services using Kubernetes and Infrastructure-as-Code tools;
• Collaborate with stakeholders to deliver impactful, data-driven solutions;
• Mentor other engineers and contribute to a strong, collaborative engineering culture.

• Strong experience with Python and SQL;
• Hands-on experience with the modern data stack;
• Experience with Kubernetes for orchestration;
• Experience with distributed data processing using Spark or Trino;
• Familiarity with Kafka, particularly for data consumption;
• Proven ability to take ownership of data projects from concept to production;
• Comfortable working autonomously and making architectural decisions;
• Experience with cloud platforms such as AWS, GCP, or Azure;
• Nice to have: Experience with open data formats such as Apache Iceberg.

• Competitive salary and benefits package;
• Modern office environment with strong team culture and social initiatives;
• The company invests in growth and development;
• The role requires living in or relocating to Tallinn, Estonia.