Data Engineer

Corecom Consulting
Leeds, UK
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Information Engineering Extract Transform Load (ETL) Data Warehousing Data Pipelines Databricks

Job description

  • Designing and maintaining scalable data pipelines
  • Building and optimising data warehousing solutions
  • Working with Databricks and modern cloud platforms (Azure or AWS)
  • Collaborating with cross-functional teams to deliver high-impact data products
  • Leading best practices in data engineering and pipeline architecture

Requirements

  • Proven experience in data engineering at a senior level
  • Strong hands-on knowledge of Databricks
  • Experience with Azure or AWS cloud platforms
  • Expertise in data warehousing and ETL processes
  • Ability to work both independently and as part of a collaborative team
  • Flexible hybrid working (2 days a week in our Leeds office)
  • Exciting projects using modern technologies
  • A supportive and innovative team culture
  • Ready to shape the future of data? Apply today and be part of something impactful.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · World Congress 2022

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Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

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Career evolution in data engineering and AI platforms

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