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# Data Engineer

- **Company:** Dev
- **Location:** Bristol, UK
- **Salary:** £61,176.0 - £76,470.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Computer Programming, Information Engineering, Data Structures, Data Systems, Software Design Patterns, Distributed Systems, Data Flow Control, Fraud Prevention and Detection, Apache Hadoop, Hadoop Distributed File System, Apache HBase, Apache Hive, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Teradata SQL, Unstructured Data, Google Cloud, Data Storage Technologies, Delivery Pipeline, Apache Spark, Data Lakes, Low Latency, Data Analytics, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815451854-data-engineer

## About the Role

* Good coding/scripting experience using Python and SQL in a commercial/industry setting
 * Computer science fundamentals: data structures, algorithms, software design, design patterns, core programming concepts
 * Experience delivering analytical use cases in a cloud-based environment

Bonus experience

 * Exposure to Hadoop technologies (e.g., HDFS, Hive, HBase) or experience with high-volume, low-latency data storage and analytics platforms
 * Exposure to GCP cloud tooling (e.g., Cloud DataFlow, BigQuery)

## Description

A key Data Engineer role in our Chief Data & Analytics Office. This position involves building data solutions across data engineering, data science, BI, and agile delivery to support customer segmentation, pricing, credit decisioning, commercial performance, and fraud detection. The team uses Cloud technologies to enable data-led decisions and data-driven insights.

You would be joining a team of data engineers who analyse data and build pipelines in distributed environments using Python, SQL, and related technologies. You will ingest structured and unstructured data into our data lake and collaborate with Machine Learning Engineers and Data Scientists in Hadoop, Spark, Teradata, GCP, and Azure environments. You should be passionate about developing new solutions, evaluating new tech, and translating data into analytics opportunities.

What you'll do

 * Analyse data and build pipelines in distributed environments using Python, SQL, and other data technologies
 * Develop high-quality, reusable data pipelines at scale and ingest data into the data lake
 * Collaborate with Machine Learning Engineers and Data Scientists in Hadoop, Spark, Teradata, GCP, and Azure
 * Evaluate new technologies and translate data into analytics-based opportunities


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