Verified current Job

Senior Data Engineer (energy, JR633, JR634, JR669, JR737, JR738)

ELEKS Software Engineering and Development Office is looking for a Senior Data Engineer in Poland, Croatia or Ukraine. 

Job Remote Full source details
ELEKS Source published Sep 20, 2026 Verified 7 hours ago
✓ 100% verification score · Source: ELEKS (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentConsultant FT (Fixed Term)
Work modeRemote / location-flexible

Overview

ELEKS Software Engineering and Development Office is looking for a Senior Data Engineer in Poland, Croatia or Ukraine. 

Full job description

ELEKS Software Engineering and Development Office is looking for a Senior Data Engineer in Poland, Croatia or Ukraine.

ABOUT PROJECT We're growing our team at ELEKS in partnership with a company, the UK’s largest renewable power generator, primarily using sustainable biomass and hydroelectric power.

Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years

Hands-on experience with Databricks 2+ years

Experience with Python

Experience with Power BI is nice to have

Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.)

Knowledge of the Energy industry (e.g. energy trading, utilities, power systems etc.) would be a plus

Experience with Geospatial data would be a plus

At least an Upper-Intermediate level of English

Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects

End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices

Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management

Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination

Close cooperation with a customer

Challenging tasks

Competence development

Team of professionals

Dynamic environment with a low level of bureaucracy

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