Senior Data Engineer @ ELEKS

ELEKS; Kraków; On-site; PLN 120,000 - 150,000; Full time

Job summary

A leading software development company is seeking a Senior Data Engineer in Kraków, Poland. The role involves building databases and pipelines for diverse projects, with a focus on developing scalable data solutions. Ideal candidates will have over 4 years of experience in Data Engineering, expertise with Databricks, and a working knowledge of cloud services like AWS. The position offers a dynamic environment, opportunities for professional growth, and the ability to work closely with clients.

Benefits

Close cooperation with a customer

Challenging tasks

Competence development

Dynamic environment with low level of bureaucracy

Qualifications

• 4+ years of experience in Data Engineering.
• 2+ years of hands-on experience with Databricks.
• Upper-Intermediate level of English proficiency.

Responsibilities

• Building databases and pipelines for various projects.
• Designing and deploying comprehensive data solutions.
• Maintaining scalable data and machine-learning solutions.
• Collaborating with stakeholders on data security and privacy.

Skills

Data Engineering

SQL

ETL

Python

AWS

Power BI

Geospatial data

Tools

Databricks

AWS S3

AWS Redshift

AWS Athena

AWS Glue

AWS Lambda

Job description

Senior Data Engineer @ ELEKS

Kraków, Lesser Poland Voivodeship, Polska

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.

WHAT YOU WILL GET WITH ELEKS

• Close cooperation with a customer
• Challenging tasks
• Ability to influence project technologies
• Competence development
• Team of professionals
• Dynamic environment with low level of bureaucracy

RESPONSIBILITIES

• 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, 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, and addressing data security, privacy, and third‑party coordination.

REQUIREMENTS

• 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 (nice to have)
• Experience with AWS (e.g., S3, Redshift, Athena, Glue, Lambda)
• Knowledge of the Energy industry (e.g., energy trading, utilities, power systems) would be a plus
• Experience with Geospatial data would be a plus
• Upper‑Intermediate level English
• Experience with Data Lake, Data Science, Machine Learning, Security, Data mapping, Databricks, Python, Power BI, AWS S3, Redshift, Athena, Glue, AWS Lambda