Mid/Senior Data Engineer (Kraków/GCP)

Poland - Cracow · 2-4 years experience · Hybrid · Posted Sep 28, 2026

At a glance

We are looking for a Mid Data Engineer to join our growing data engineering team and contribute to building scalable, reliable data solutions for our financial services clients.
You will work with modern data technologies and cloud platforms, developing and maintaining data pipelines, processing large datasets, and supporting the delivery of enterprise-scale data solutions.

Design, develop, and maintain scalable data pipelines and data processing solutions.
Develop data transformation and processing workflows using Python and Apache Spark.
Work with large-scale datasets in distributed environments using Hadoop and related technologies.
Build and support cloud-based data solutions on Google Cloud Platform (GCP).
Develop reliable ingestion processes integrating data from multiple source systems.
Implement data transformations, validation rules, and data quality checks.
Troubleshoot data pipeline issues and support performance optimization.
Work with Linux-based environments, including scripting, deployment, and operational activities.
Collaborate with Data Engineers, Architects, Analysts, and other project stakeholders to translate business requirements into technical solutions.
Create and maintain technical documentation covering data flows, dependencies, configurations, and operational procedures.

2–4+ years of commercial experience in Data Engineering or a similar role.
Good hands-on programming skills in Python.
Practical experience with Apache Spark, including building and maintaining data processing jobs.
Experience working with Hadoop or distributed data processing ecosystems.
Good knowledge of Linux and command-line environments.
Commercial experience with Google Cloud Platform (GCP) and relevant data services.
Good understanding of ETL/ELT processes, data pipelines, and data transformation concepts.
Working knowledge of SQL and relational data concepts.
Familiarity with Git and modern software development practices.
English at a minimum B2 level.

Experience with GCP services such as BigQuery, Cloud Storage, Dataproc, Dataflow, or Pub/Sub.
Experience in Financial/Banking domain
Experience with orchestration tools such as Apache Airflow.
Familiarity with CI/CD processes for data solutions.
Knowledge of data modelling and data warehouse concepts.
Experience working with financial services or banking clients.
Familiarity with containerization technologies such as Docker or Kubernetes.

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