Coforge
Senior Data Engineer

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Role: Senior Data Engineer
Location: Sheffield, UK
Work mode: Hybrid – 3 days weekly from office
Skills: ETL/ELT, Python, SQL, PySpark, GCP and PostgreSQL
Experience: 8+ Years
We at Coforge are looking for a Senior Data Engineer in Sheffield, UK.
Role Overview
We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data platforms, pipelines, and cloud-based analytical solutions supporting enterprise reporting, AI, and business intelligence initiatives.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Design and develop scalable ETL/ELT pipelines and data integration solutions.
- Build and optimize data lakes, data warehouses, and real-time processing platforms.
- Ensure data quality, governance, security, and performance standards.
- Collaborate with Data Architects, Analysts, and Data Scientists.
- Support cloud migration and modernization initiatives.


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Required Technical Skills
- Python, SQL, PySpark
- Databricks, Snowflake
- AWS, Azure, or GCP (preferred)
- Kafka and streaming technologies
- PostgreSQL (preferred), SQL Server, Oracle
- Git, CI/CD
Preferred Experience
- Financial Services or regulated industries
- Data Lakehouse architecture
- AI/ML and advanced analytics platforms
- Cloud-native data engineering solutions
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