Data Engineer

2 weeks ago

Stockholm, Stockholm, Sweden MpowerPlus Full time
The Role:

Key Responsibilities

  • Lead the design and development of robust ETL workflows using Informatica/ PowerCenter/IICS/IDMC.
  • Architect and implement scalable data sourcing strategies from diverse systems (on-prem, cloud, APIs).
  • Ensure data quality, lineage, and governance across ingestion pipelines.
  • Design logical and physical data models aligned with business domains and data product principles.
  • Contribute to the architecture of enterprise data lakes and data platforms.
  • Define standards for metadata, schema evolution, and data partitioning.
  • Build and optimize data pipelines on Azure Data Services (Data Factory, Synapse, ADLS).
  • Develop and manage Databricks notebooks and workflows for data transformation and analytics.
  • Integrate cloud-native tools for monitoring, logging, and performance tuning.
  • Implement CI/CD pipelines for data workflows using tools like Azure DevOps, Git, and Terraform.
  • Automate deployment and testing of ETL jobs and data pipelines.
  • Actively participate in SAFe Agile ceremonies, sprint planning, and backlog grooming.
  • Collaborate with Product Owners, Data Architects, and Business Analysts to deliver data solutions.
  • Contribute to the design and implementation of data products that serve analytical and operational needs.
  • Ensure alignment with enterprise data strategy and governance frameworks. 
Ideal Profile:

Required Skills & Qualifications

  • 10+ years of experience in Data Engineering, with strong hands-on expertise in Informatica ETL.
  • Proven experience in data architecture, especially in data sourcing and data lake platforms.
  • Strong knowledge of Azure Data Services, Databricks, and cloud-native data engineering.
  • Exposure to DevOps practices and tools for data pipeline automation.
  • Experience working in SAFe Agile environments.
  • Solid understanding of data governance, metadata management, and data quality frameworks.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications

  • Certifications in Azure, Informatica, or Databricks.
  • Experience with data mesh or data product architecture.
  • Familiarity with Python, SQL, and Spark. 
What's on Offer?
  • Join a well known brand within Corporate Banking
  • Excellent career development opportunities
  • Great work environment

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