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Data Engineer

Ref: R-00102719
Warszawa, Poland | Full Time | Permanent | Business Strategy & Delivery
Posted about 1 month ago. Closing date for applications: 29/06/2020

Join us as a Data Engineer

  • This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
  • You’ll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight and keeping our customers, and the bank safe and secure
  • Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank

What you'll do

As a Data Engineer, you’ll actively participate in the data engineering community to deliver opportunities to support our strategic direction. You’ll be carrying out data engineering tasks to build a scalable data architecture including carrying out data extractions, transforming data to make it usable to analysts and data scientists, and loading data into data platforms.

We’ll also expect you to be:

  • Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
  • Building automated data engineering pipelines through the removal of manual stages
  • Working closely with core technology and architecture teams in the bank to build data knowledge and data solutions
  • Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions

The skills you'll need

To be successful in this role, you’ll need to be an entry level programmer and data engineer with a qualification in Computer Science or Software Engineering. You’ll also need a strong understanding of data usage and dependencies with wider teams and the end customer, as well as a proven track record in extracting value and features from large scale data.

You’ll also demonstrate:

  • Good critical thinking and proven problem solving capabilities
  • Experience of ETL technical design, automated data quality testing, QA and Documentation, Data warehousing and data modelling skills
  • Extensive experience using RDMS, ETL pipelines, Python, Hadoop, SQL and Data Wrangling
  • Experience of using Oracle, Unix scripting, Java, Cloud, API, NoSQL and Kafka
  • A good understanding of modern code development practices