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Data Engineer: Real-Time Pipelines & ML Services

Smarkets
Greater London, UK
2 days ago
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Role details

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

Tech stack

Information Engineering Extract Transform Load (ETL) Azure Machine Learning Data Lakes

Requirements

A leading prediction market technology firm in Greater London is seeking an experienced Data Engineer. In this role, you will develop and maintain ETL pipelines, manage data lakes, and assist with automated reporting. You should have over 3 years of experience in data engineering, knowledge of Python frameworks, and a bachelor’s degree in a relevant field. Join a diverse team that values innovation and collaboration, and be part of a supportive work culture with competitive benefits. #J-18808-Ljbffr

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Prepare application

Good distractions

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

Moments

Explore playlists

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

1:20 min

Navigating the components of Azure Machine Learning platform

Jose Luis Latorre Millas · LIVE

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

Videos

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54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

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LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Architecture 3.0: From 90% to 99.999% Reliability in Building AI Systems thumbnail
31:16
World Congress 2026 Europe • about 2 months ago

Architecture 3.0: From 90% to 99.999% Reliability in Building AI Systems

Ingo Eichhorst

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML thumbnail
39:58
LIVE • almost 6 years ago

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

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