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Data Engineer in FCP DVR team – GCP migration project (temporary contract)

🕒 2 days ago
GCPBigqueryIAMDataproc
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📜 Description

  • Support migration and refactoring of pipelines from on-premises environments to GCP.
  • Work with developers and architects to design and implement solutions.
  • Prepare work estimates and keep stakeholders informed about project progress.
  • Gather, refine, and validate requirements with stakeholders.
  • Advise business teams on technical options, recommend solutions, and communicate constraints.

🛠️ Requirements

  • Experience with GCP (BQ, IAM, DataProc, GCS) and infrastructure as a code (Terraform).
  • Experience with PySpark (3.5) and Spark generally.
  • Experience with Airflow (3.x).
  • Proficiency in version control systems (Git), CI/CD and relevant tools like Github Actions.
  • Strong understanding and hands-on experience with SQL for data querying and manipulation.
  • Business and product-oriented mindset, including experience of working directly with business stakeholders.
  • Analytical mindset and ability to solve complex technical problems.
  • Ability to work independently and take ownership of assigned tasks.
  • Fluent English.
  • Experience in Scala programming language (in context of Spark).
Full job description

We are looking for a Data Engineer that will be supporting the FCP Data Visualization and Reporting team during migration from on-prem to GCP.
As a Data Engineer in that temporary position, you will be leading part of the work related to migration. You will be closely cooperating with Data Engineers from the team and close areas, and working with Data/Business Analysts, BI Developers, and Product Owner from DVR Team.

Ready to take the next step on your career journey? Welcome to our inclusive culture, where our shared values inspire and uplift our team. We celebrate diversity and strive to ensure every employee feels seen, heard, and valued. Since we select candidates continuously, feel free to send in your application today, but no later than 2026-11-28.  Learn more about working at SEB www.sebgroup.com/career It is our fundamental belief that inclusion and diversity is crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected and involved irrespective of who they are, what they believe or where they come from. Learn more about our company’s Code of Conduct and Whistleblower Policy https://sebgroup.com/about-us/corporate-governance/code-of-conduct

Contract time frame:

  • Expected start date: Between November 2026 and January 2027.
  • Expected end date: Until the completion of the GCP migration, currently planned for the end of June 2027, with a possibility of an extension by a few months.
  • Duration: Temporary assignment of 6–12 months, with no intention of extending the role beyond this period.
  • Your responsibilities will include:

  • Supporting the migration and refactoring of pipelines from on-premises environments to GCP.
  • Working with developers and architects to design and implement effective solutions.
  • Preparing work estimates and keeping stakeholders informed about project progress.
  • Collaborating with stakeholders to gather, refine, and validate requirements.
  • Advising business teams on technical possibilities, recommending suitable solutions, and communicating constraints when needed.
  • Requirements:

  • Experience with GCP (BQ, IAM, DataProc, GCS) and infrastructure as a code (Terraform).
  • Experience with PySpark (3.5) and Spark generally.
  • Experience with Airflow (3.x).
  • Proficiency in version control systems (Git), CI/CD and relevant tools like Github Actions.
  • Strong understanding and hands-on experience with SQL for data querying and manipulation.
  • Business and product-oriented mindset, including experience of working directly with business stakeholders.
  • Analytical mindset and ability to solve complex technical problems.
  • Ability to work independently and take ownership of assigned tasks.
  • Fluent English.
  • Nice to have:

    • Experience in Scala programming language (in context of Spark).
    • Experience with Java.
    • Experience with BI tools.
    • Experience in banking industry.
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