Data Engineer
Barclays · Posted Oct 21
Banking, credit card, corporate, investment banking, and wealth management services
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About the role
Barclays is seeking a Data Engineer to help evolve its enterprise data platforms and data engineering capabilities, building scalable and secure data solutions that deliver trusted data products and insights across the organisation. The role sits within a data function that extracts actionable insights from large datasets using statistical and advanced analytics, and presents findings through visualisations and reports. The engineer will design and build data pipelines with Python, SQL, PySpark and AWS, investigate data quality and lineage issues, and translate analytical findings into business recommendations.
What you will do
- Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
- Designing and building data pipelines to automate data movement and processing.
- Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
- Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
- Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.
Skills used in this role
What the employer is looking for
- Python, SQL and PySpark for large-scale data engineering and data processing
- ETL/ELT development, data modelling, data warehousing and data lake architectures
- AWS cloud platforms and cloud-native data architecture
- Building scalable enterprise data pipelines with strong data governance, security and quality controls
Preferred qualifications
- Snowflake, Databricks, Microsoft Fabric, Delta Lake and dbt
- CI/CD, Git, Azure DevOps, Terraform and automated testing frameworks
- Docker, Kubernetes and modern DevOps practices
- Kafka, event streaming technologies, APIs and enterprise integration patterns
Benefits and support
- Compensation and benefits are detailed in the job posting
About Barclays
Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.
- Industry
- Banking
- Company size
- 93000+ employees
- Founded
- 1690
- Location
- London, United Kingdom
- Funding stage
- Public Company
Leadership
Group Chief Executive
Group Finance Director
Group Chief Operating Officer
Recent coverage
The Guardian
Barclays to cut 5,000 jobs as AI replaces roles2026-10-22
Investing.com
Barclays Q3 2026 slides show mixed results, on track for targets2026-10-22
Euronews
Barclays cuts 5,000 jobs as net profit grows 13% in Q32026-10-22