Data Engineer in Manchester

Data Engineer in Manchester

Manchester Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build resilient data pipelines to transform raw data into valuable insights.
  • Company: Join a dynamic team in the Financial Services/Capital Markets industry.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Be part of a newly formed group focused on innovative data projects.
  • Why this job: Make an impact by delivering reliable data solutions that drive business decisions.
  • Qualifications: Experience in data engineering and a passion for working with complex datasets.

The predicted salary is between 50000 - 70000 Β£ per year.

We are seeking highly skilled and experienced Azure Data Engineers to join a newly formed group concentrating on Data. Within this role you will be a key member of the team, working on a complex and challenging project within the Financial Services/Capital Markets industry.

The primary focus of the role would be on building resilient, reusable Data Pipelines to extract, load, and transform raw data into a relational data model. The successful candidate will work across complex, multi-source datasets including loan servicing systems, property and valuation platforms, collections systems, and third-party data providers, delivering reliable and auditable data at scale.

Responsibilities

  • Design, build, and maintain resilient, reusable data pipelines to extract, load, and transform raw data into a relational data model
  • Collaborate with cross-functional teams to integrate multi-source datasets (loan servicing systems, property and valuation platforms, collections systems, and third-party data providers)
  • Deliver reliable, auditable data at scale with a focus on data quality, lineage, and governance considerations
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Contact Details:

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We think you need these skills to ace Data Engineer in Manchester

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Governance
Data Engineering