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Data Engineer

Job in Slough, Berkshire, SL1, England, UK
Listing for: HCLTech
Full Time position
Listed on 2026-09-19
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 90000 GBP Yearly GBP 70000.00 90000.00 YEAR
Job Description & How to Apply Below

We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments —no matter how big or small —can be traced back to an idea’s single spark.

It’s that spark —that inner drive —that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled.

To learn more about how we can supercharge progress for you, visit

Job Title:

Data Engineer

Location:

Birmingham, UK Hybrid Mode
-3 days work from office This is Fixed term contract role Required Experience
-9+ years Area:
Operations Management Role Summary

Build reporting pipelines and analytics solutions for patch and vulnerability management.

Key Responsibilities
  • Drive platform stability, security and compliance objectives.
  • Execute patching, upgrades, vulnerability remediation and validation activities.
  • Collaborate with engineering, operations, security and business stakeholders.
  • Support governance, reporting, audit readiness and continuous improvement.
  • Implement automation and operational best practices where applicable.
Technical

Skills:

SQL, ETL, Power BI, Tableau, Data Modelling Preferred Skills :
Enterprise-scale operations experience, stakeholder management, automation mindset, strong analytical and problem-solving capabilities.
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