Nordea logo

Senior Data Engineer - Big Data & Analytics

Nordea

About the Role

As a Senior Data Engineer at Nordea, you will be part of the Capability Area Data Engineering team, focusing on building distributed and highly parallelized data processing pipelines. These pipelines handle massive amounts of both structured and unstructured data in near real-time, leveraging tools like Scala and Spark to enrich and transform corporate data. This enables enhanced searching, data visualization, and advanced analytics capabilities.

What You'll Do

  • Build and maintain big data processing pipelines.
  • Work with Spark to enrich and transform data.
  • Collaborate with analysts and business stakeholders to develop analytics models.
  • Ensure continuous delivery on Hadoop and other Big Data platforms.
  • Automate processes to ensure they are repeatable and reliable.
  • Work closely with the QA team to maintain high standards of quality.

Who You Are

  • You thrive in collaborative environments and can communicate effectively with team members.
  • You are curious and responsive, understanding the needs of others to ensure delivery of desired results.
  • You are motivated and strive for quality in everything you do.

Your Experience and Background

  • Experience in Agile methodologies.
  • Proficiency in unit testing with frameworks like ScalaTest.
  • Programming experience in Scala or Java, with a willingness to learn Scala.
  • Experience with distributed data processing engines like Spark.

Benefits of Working with Us

  • Opportunities for personal and professional growth.
  • A supportive and inclusive work environment.
  • Engage in a role that directly impacts the future of banking through technological innovation.

This role is based in Helsinki, but also open to candidates in Warsaw, Gdańsk, Gdynia, Oslo, and Stockholm. We value diversity and inclusivity, encouraging all interested candidates to apply regardless of background.

Benefits
Extracted with AI

  • Opportunities for personal and professional growth
  • Supportive work environment
  • Inclusive workplace

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