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Senior Data Engineer

Xcede
Greater London, UK
17 days ago
Apply on www.collegerecruiter.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£90,000.0
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Amazon Web Services Cloud Computing Cloud Database Information Engineering Extract Transform Load (ETL) Python (Programming Language) Standard Sql Data Pipelines Databricks

Job description

  • Build and maintain scalable data pipelines and ETL processes
  • Improve data reliability, performance and observability
  • Collaborate with analytics and engineering teams on data needs
  • Support migration and optimisation of cloud-based systems
  • Contribute to engineering best practices and standards

Requirements

  • Strong experience in data engineering using Python and SQL
  • Experience with Amazon Web Services and Databricks
  • Strong understanding of cloud data architecture
  • Experience working in agile engineering teams
  • Strong problem-solving and communication skills

About the company

Xcede are partnering with a well-established FS company looking for a Senior Data Engineer to join their growing data team and help scale their cloud data infrastructure.

This role is ideal for someone who enjoys building reliable, production-grade data systems in a modern cloud environment.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

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

Moments

Explore playlists

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

1:47 min

Introduction to ClickHouse cloud database architecture

Jan Mensch Jan Mensch · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

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43:28
LIVE • almost 5 years ago

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)

Gregor Bauer

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Databaseless Data Processing - High-Performance for Cloud-Native Apps and AI thumbnail
30:21
World Congress 2024 • about 2 years ago

Databaseless Data Processing - High-Performance for Cloud-Native Apps and AI

Markus Kett

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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