Senior Data Engineer – GCP, Kraków, Flexible B2B

Capco; Kraków; On-site; PLN 140,000 - 210,000; Full time

Job summary

Capco Poland is seeking a Mid Data Engineer to join their growing data engineering team in Kraków. You will design, build, and maintain scalable data pipelines and cloud-based solutions for financial services clients, using Python, Spark, Hadoop, Linux, and GCP.

This role focuses on hands-on data processing and collaboration across distributed teams on enterprise-scale projects. You’ll contribute to data transformations, ingestion, quality checks, and performance tuning while embracing Agile

Qualifications

• 2–4+ years of commercial experience in Data Engineering or a similar role.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark and building data processing jobs.
• Experience with Hadoop and distributed data processing ecosystems.
• Good knowledge of Linux and command-line environments.
• Commercial experience with Google Cloud Platform (GCP) and data services.
• Understanding of ETL/ELT, data pipelines, and data transformation concepts.
• Working knowledge of SQL and relational data concepts.
• Familiarity with Git and modern software development practices.
• Ability to work in Agile environments with distributed teams.
• Good English communication skills (minimum B2).

Responsibilities

• Design, develop, and maintain scalable data pipelines and processing solutions.
• Develop data transformations and processing workflows using Python and Spark.
• Work with large-scale datasets in distributed environments using Hadoop.
• Build and support cloud-based data solutions on Google Cloud Platform.
• Develop reliable ingestion processes from multiple source systems.
• Implement data quality checks and monitoring practices.
• Troubleshoot data pipeline issues and optimize performance.
• Collaborate with Data Engineers, Architects, Analysts, and stakeholders.
• Participate in code reviews and follow data engineering best practices.
• Create and maintain technical documentation of data flows and configurations.
• Support deployment, testing, and ongoing maintenance of data solutions.

Skills

Python

Apache Spark

Hadoop

Linux

Google Cloud Platform (GCP)

SQL

Git

Apache Airflow

Docker

Kubernetes

ETL/ELT concepts

Tools

BigQuery

Cloud Storage

Dataproc

Dataflow

Pub/Sub

Airflow

Job description

Capco Poland is seeking a Mid Data Engineer to join their growing data engineering team in Kraków. You will design, build, and maintain scalable data pipelines and cloud-based solutions for financial services clients, using Python, Spark, Hadoop, Linux, and GCP.

This role focuses on hands-on data processing and collaboration across distributed teams on enterprise-scale projects. You’ll contribute to data transformations, ingestion, quality checks, and performance tuning while embracing Agile