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Data Engineer - Real-Time Lakehouse (Hybrid London)

Stanford Black
London, UK
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Apache HTTP Server Data Architecture Python (Programming Language) Working Model 2D Parquet Data Lakehouse

Requirements

A top market-leading Commodities Trading firm in Central London is seeking Data Engineers to join a greenfield initiative to build a modern data platform based on Lakehouse architecture. Applicants should have over 5 years of Python experience, expertise in end-to-end data Lakehouse development, and familiarity with tools like Apache Iceberg and Parquet. This full-time role offers competitive compensation in a hybrid working model, working 3 days on-site and allowing remote flexibility. #J-18808-Ljbffr

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Good distractions

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

Moments

Explore playlists

4:32 min

Evolution of centralized data architectures and open table formats

Matthias Niehoff Matthias Niehoff · World Congress 2024

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

2:50 min

How Parquet metadata enables efficient data reading

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

2:02 min

Choosing the right data format and catalog engine

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

2:03 min

Introduction to open table formats built on Parquet

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

52 sec

Structuring data access with Fabric Data Agent

Alexandra Mihai Alexandra Mihai +2 · Europe 2026 Virtual

Videos

See all
Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 3 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Parquet, Delta, Iceberg & Ducklake - An introduction for developers thumbnail
28:42
World Congress 2026 Europe • 2 months ago

Parquet, Delta, Iceberg & Ducklake - An introduction for developers

Matthias Niehoff

Machine Learning for Software Developers (and Knitters) thumbnail
49:45
LIVE • over 5 years ago

Machine Learning for Software Developers (and Knitters)

Kris Howard

OLAP for AI Applications and why you should care thumbnail
30:06
World Congress 2026 Europe • 2 months ago

OLAP for AI Applications and why you should care

Andrey Abramov

Tracking vehicles at scale thumbnail
30:33
Europe 2026 Virtual • 3 months ago

Tracking vehicles at scale

Thorsten Riess

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