JOB SUMMARY

We are looking for a Senior Data Engineer to join our team and take a leading role in designing, building, and evolving enterprise‑scale data solutions. This is a hands‑on engineering position that blends deep technical expertise with architectural thinking and technical leadership. You will work with modern data engineering practices, contribute to our Data Lakehouse platforms, and help shape the future of our cloud‑native data ecosystem.

Experience with Oracle or Sybase data warehouses is a plus, but not required.

How You Will Make an Impact:

• Design, develop, and own end‑to‑end data pipelines, ETL/ELT processes, and large‑scale data products.
• Lead the design, implementation, and evolution of Data Lakehouse architectures using AWS services and open table formats.
• Build and operate large‑scale data processing solutions using Apache Spark on AWS EMR.
• Develop and orchestrate workflows using Apache Airflow.
• Integrate data from multiple internal and external sources, ensuring high data quality, performance, and reliability.
• Implement and manage data lakes using AWS Glue, Iceberg tables, and cloud object storage.
• Enable analytical access through Amazon Athena and support downstream reporting in PowerBI.
• Define and improve data models, data contracts, and engineering standards across the platform.
• Review technical solutions, mentor other engineers, and act as a technical reference point.
• Identify scalability, performance, and data quality issues and drive continuous improvements.
• Collaborate with existing Oracle or Sybase data warehouses during transition or coexistence phases when needed.

What Makes You a Great Fit:

• Strong experience in data engineering within enterprise environments.
• Advanced SQL skills and solid understanding of analytical and dimensional data modeling.
• Hands‑on experience with Data Lakehouse or modern data platform concepts (cloud object storage, open table formats, distributed processing).
• Proven experience with AWS data services (EMR, Glue, Athena, S3‑based data lakes).
• Strong experience with Apache Spark for large‑scale data processing.
• Solid Python skills for ETL development, data processing, and automation.
• Experience designing, implementing, and maintaining robust and reliable data pipelines.
• Strong analytical, problem‑solving, and system‑level thinking skills.
• Fluent English is required in spoken and written communication due to working on the Pan-Baltic level

Why You Will Love Working Here:

• Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)
• International teams. Teams that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun
• Culture. You’ll be joining a team where things move fast, ideas flow freely, and change is part of the everyday. It’s a dynamic environment that keeps you learning, growing, and never bored
• More vacation. Additional weeks of vacation are available to all employees who have been in the company for 1 year or more
• Volunteer time off. We care about giving back to society, therefore, you will get additional days off for volunteering purposes
• Paid leave. We are proud of our employees who are participating in military training.
• Health benefits. A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your absence due to sickness without a doctor’s note needed
• Wellbeing. Access to tools and resources that help you feel good and be productive at work and in life
• Professional growth. Internal and external training programs, LinkedIn learning, workshops, conferences, online training, etc
• Gross salary. 4,190 – 6,690 EUR/month, which is to be determined depending on your level of experience and competencies

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!
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