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Data Engineer

  • Hybrid
  • English
  • Banking
  • Expert/Senior
  • Agile/Scrum

Join us, and influence transformative solutions in a dynamic, global environment!

Krakow-based opportunity with the possibility to work 80% remotely!

As a Data Engineer, you will be working for our client, a global financial institution leading the way in creating a cutting-edge, data-driven organization within the Wholesale Chief Data & Analytics Office. This revolutionary data analytics ecosystem aims to generate business insights and provide an exceptional customer experience through well-managed and trusted data assets. The client’s global team collaborates with IT to deliver a vast ecosystem of curated, enriched, and protected datasets. The Wholesale Big Data Lake, with over 300 sources, is a testament to their commitment to utilizing the latest technologies to solve complex business problems and deliver unique insights.

Your main responsibilities:

  • Designing software, Python & GCP development, and automated testing in an Agile, DevOps, and dynamic environment
  • Promoting development standards, conducting code reviews, and facilitating knowledge sharing
  • Contributing to product and feature design through scrum story writing
  • Handling Data Engineering tasks, ensuring product support, and troubleshooting
  • Implementing tools and processes to manage performance, scale, availability, accuracy, and monitoring
  • Collaborating with BAs to interpret and implement requirements, and working with Testers to ensure effective testing
  • Participating in regular planning and status meetings, providing input into system architecture and design, and conducting peer code reviews
  • Offering 3rd line support when needed

You’re ideal for this role if you have:

  • Strong communication skills, with the ability to communicate effectively between technical and non-technical stakeholders
  • Proficiency in data analysis and synthesis, including data profiling and system analysis
  • Experience in the data development process, designing, building, and testing complex or large-scale data products
  • Knowledge of data integration design and the ability to select and implement appropriate technologies for resilient and scalable solutions
  • Competence in data modeling, understanding industry-recognized patterns, and standards
  • Expertise in metadata management and problem resolution in databases and data processes (Proficient in SQL and relational database design)
  • Programming and build skills in data engineering, using standards and tools to design, code, test, and document programs and scripts (Python)
  • Experience in Google Cloud Platform or other cloud vendor
  • Fluent English

It is a strong plus if you have:

  • Experience with data pipeline building technologies, including BigQuery, DataProc, and Python
  • Knowledge and experience with GCP ecosystem and data management frameworks
  • Familiarity with the HSBC data governance framework
  • CI/CD experience
  • Knowledge and experience with Hadoop, PySpark, Scala, Hive, Java

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at

Internal number #4619

Internal number #4619


Access to +100 projects
Access to Healthcare
Access to Multisport
Training platforms
Access to Pluralsight
Make your CV shine
B2B or Permanent Contract
Flexible & remote work
Flexible hours and remote work