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Cloud Data Engineer - Hybrid/Remote (Azure, Databricks)

Pearson Whiffin Recruitment Ltd
Reading, UK
3 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
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Data Analysis Microsoft Azure Cloud Computing Cloud Database Extract Transform Load (ETL) Python (Programming Language) Standard Sql DataOps Databricks

Requirements

The ideal candidate has up to 2 years’ experience in data/analytics, strong SQL, Python, and ETL/ELT knowledge, plus a passion for cloud technologies and data engineering best practices. #J-18808-Ljbffr

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

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

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

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

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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 • about 2 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 • about 2 months ago

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

Sandhya Menon

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

Enjoying SQL data pipelines with dbt

Matthias Niehoff

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 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 • about 2 months ago

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

Matthias Niehoff

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