Company: Colten Care
Overview
Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. This posting invites applicants from Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and Previously Incarcerated communities. We encourage registration even if this opportunity is not the right fit.
Job Details
End Date — not specified
Salary Range — £61,176 – £76,470
We support agile working – click here for more information on agile working options.
Agile Working Options — Other Agile Working Arrangements / Open to Discussion
Job Description Summary
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
Essential experience
- 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
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 employer
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.
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