Why This Role Stands Out
This Data Engineer role at HCLTech offers a fantastic opportunity to contribute to a globally recognized tech leader, developing impactful reporting pipelines and analytics solutions. You'll thrive here if you possess strong technical skills and a collaborative spirit, ready to drive innovation within a dynamic team environment.
Quick Overview
Job Description
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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