Cloud Data Engineer
London, Greater London, W1B, England, UK
Listed on 2026-08-11
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IT/Tech
Data Engineering, AWS, Data Warehousing, Cloud Computing: Infrastructure & Operations
This job is with Capgemini, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Job Title:
Cloud Data Engineer
About the Job you are considering:
We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions.
The ideal candidate should have strong experience in cloud data engineering, ETL/ELT development, data transformation, data warehousing, and performance optimization. Experience working in regulated industries such as Banking, Financial Services, Insurance, or Healthcare is preferred.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- Design, develop, and maintain scalable data pipelines using AWS cloud services.
- Build and manage ETL/ELT workflows for data ingestion, transformation, validation, and reporting.
- Develop and maintain dbt models, tests, snapshots, macros, and documentation.
- Create high-performance data transformation solutions using PySpark and SQL.
- Design and optimize Snowflake data warehouse solutions.
- Integrate data from multiple sources including databases, APIs, cloud storage, and third-party systems.
- Implement data quality, reconciliation, audit controls, and exception handling.
- Optimize data processing jobs for performance, scalability, and cost efficiency.
- Develop CI/CD pipelines and automate deployment processes.
- Collaborate with architects, business analysts, QA teams, and stakeholders.
- Ensure data security, governance, compliance, and access controls.
- Support production deployment, monitoring, incident management, and troubleshooting.
- Prepare technical documentation and operational runbooks.
Your Skills
Cloud & Data Engineering
- Strong hands-on experience with AWS cloud platform.
- Experience in designing cloud-based data platforms.
- Strong ETL/ELT development experience.
- Experience building enterprise-grade data pipelines.
Snowflake
- Strong experience with Snowflake Data Warehouse.
- Experience in Snowflake performance tuning.
- Knowledge of Snowpipe, Streams, Tasks, and Stored Procedures.
- Experience implementing RBAC and security controls.
DBT
- Hands-on experience with dbt Core or dbt Cloud.
- Development of reusable models, macros, tests, and snapshots.
- Data lineage, documentation, and dependency management.
- Integration with CI/CD pipelines.
PySpark & Programming
- Strong PySpark development expertise.
- Experience processing large-scale datasets.
- Code optimization and performance tuning.
- Data transformation, enrichment, aggregations, and joins.
SQL
- Advanced SQL skills.
- Stored procedures, CTEs, window functions, and query optimization.
- Data warehousing and dimensional modelling concepts.
AWS Skills Expected
Candidate should have experience with one or more of the following AWS services:
- Amazon S3
- AWS Glue
- Amazon EMR
- AWS Lambda
- AWS Step Functions
- Amazon Redshift
- Amazon Athena
- Amazon RDS / Aurora
- AWS IAM
- AWS KMS
- Amazon Cloud Watch
- AWS Secrets Manager
Data Modelling Skills
- Star Schema
- Snowflake Schema
- Dimensional Modeling
- Data Vault
- Data Warehouse Design
- Data Lake Architecture
Data Formats
Experience working with:
- Parquet
- Avro
- JSON
- CSV
- ORC
CI/CD & Dev Ops
- Git
- Git Hub
- Git Lab
- Bitbucket
- Jenkins
- Git Hub Actions
- Git Lab CI/CD
- AWS Dev Ops Tools
Domain Experience (Preferred)
Experience in one or more domains:
- Banking
- Financial Services
- Payments
- Cards
- Loans & Mortgages
- Risk & Compliance
- Regulatory Reporting
- AML
- Fraud Analytics
- Customer Data Platforms
- Financial Reporting
- Data Governance
We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you):
- You’d be…
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