Data Engineer

Dev

Bristol, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

£61,176.0 - £76,470.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

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

+19 more

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

Job 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

Requirements

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)

Benefits & conditions

What you’ll get in return

Our team is full of down-to-earth people passionate about data, with career potential and exposure to a range of technologies. We offer hybrid working patterns (2-3 days in our London or Bristol hub) to support work/life balance. We are committed to diversity and equal opportunity, with reasonable adjustments available in our recruitment process.

We offer a comprehensive package including:

Salary range between £48,000 - £80,000, depending on location and experience
Discretionary annual group performance bonus
Generous pension contribution up to 15%
4% flex cash pot for lifestyle benefits (or take as cash)
30 days holiday plus bank holidays
Private health cover (extendable to family)
Share schemes, including free shares
Generous parental/adoption leave policies

About the company

At Lloyds Banking Group, we aim to help Britain prosper. We prioritise a values-led culture and an inclusive workplace where all colleagues can succeed on merit. This posting is aligned with our commitments to diversity and inclusion. #J-18808-Ljbffr