4498 IT & Software Developer jobs in the UK
Requirements
Must:
- 8 years of experience in data engineering or data platform development within enterprise environments
- Strong expertise in AWS data services (such as S3, Glue, Redshift, EMR, Athena, Lambda or similar)
- Strong programming experience with Python and SQL
- Hands-on experience with Spark or distributed data processing frameworks
- Proven experience building and maintaining data pipelines, data lakes and data warehouses
- Strong understanding of data modelling, metadata management and data governance principles
- Experience working with large-scale distributed data systems and high-volume datasets
- Familiarity with CI/CD, version control (Git) and modern development practices
- Experience working in Agile delivery environments
- Experience within the Banking or Financial Services domain, including exposure to financial data models, regulatory environments or transaction data
- Knowledge of Enterprise Data Management (EDM) frameworks
- Experience with data governance, lineage and metadata management tools
- Exposure to multi-cloud environments (Azure or GCP)
- Experience supporting advanced analytics, machine learning or AI data platforms
Responsibilities
- Design, build and maintain scalable data pipelines and ETL/ELT processes using modern cloud data engineering practices
- Develop and optimise data lake and data warehouse architectures on AWS
- Ensure high standards of data quality, governance, security and accessibility across data platforms
- Develop scalable data transformation logic using Python, SQL and Spark-based frameworks
- Monitor pipeline performance and troubleshoot data workflows to ensure reliability and efficiency
- Work closely with data scientists, analysts and engineering teams to support advanced analytics and reporting initiatives
- Implement best practices for data modelling, metadata management and data lineage
- Produce technical documentation including data architecture, pipeline design and data flow diagrams
- Support continuous improvement of data platforms through optimisation, automation and performance tuning
Description
At EXL, a global data and AI company headquartered in New York, we offer competitive salaries along with generous bonuses, private healthcare, and various financial benefits. Our team of over 60,000 spans six continents, and we are committed to fostering a culture of collaboration, diversity, and continuous professional development. We provide our employees with a range of learning initiatives and a flexible hybrid working model to help achieve a balanced lifestyle. To be considered for this role, candidates must be eligible to work in the United Kingdom. We are proud to be an Equal Opportunity Employer.
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You can find Data Engineer salaries in the UK here.
How many Data Engineer jobs are in the UK?
Currently, there are 4498 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the UK a good place for Data Engineers?
The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the UK?
The Scouts Association, Bluefruit Software Limited, SwapTix, Arctic Shores, Collect Solutions Ltd, Government Communications Headquarters (GCHQ), NFU Mutual among others, are currently hiring for Data roles in the UK.
The company with most openings is Experis as they are hiring for 98 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is Experis as they are hiring for 98 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.