AgileSource Ltd
Senior AWS Data Engineer - SC Cleared
England
£50k – £85k/yr
Posted about 16 hours ago
Get notified of more jobs like this · No spam, ever
How your CV stacks up
1Upload CV
2Analyse CV
3Improve CV
Upload your CV to see how well it fits this job role
?%
AgileSoruce Job Opening: Senior AWS Data Engineers
Role Overview
AgileSoruce are seeking experienced Senior AWS Data Engineers for Permanent or Contract opportunities.
Compensation
- Permanent Salary: £50,000 - £85,000
- Contract Inside Rate: £400.00
- Must have Live SC Clearance
Responsibilities
As a Senior Data Engineer, you’ll take a leading role in designing and building modern data platforms, pipelines, and services within AWS.
- Design, build, and maintain scalable data platforms and data pipelines within AWS
- Develop robust ETL/ELT processes for ingesting, transforming, and processing data from multiple sources
- Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR, and related technologies
- Design data models and storage approaches appropriate to analytical and operational requirements
- Develop solutions using Python, SQL, and modern data engineering frameworks
- Apply infrastructure-as-code and automation approaches to the deployment and management of data platforms
- Build data quality, validation, monitoring, and observability into engineering solutions
- Ensure security, governance, and data protection requirements are considered throughout solution design and delivery
- Work with architects, cloud engineers, security specialists, and other SMEs to ensure solutions integrate effectively across the wider technology landscape
- Engage with clients and technical stakeholders to understand requirements, explain technical decisions, and provide recommendations
- Troubleshoot complex data, performance, and integration issues across development and production environments
- Define and promote data engineering standards, reusable patterns, and best practices
- Mentor and support other engineers, encouraging knowledge sharing and continuous improvement
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Significant hands-on experience as a Data Engineer, ideally within complex enterprise environments
- Strong experience designing and delivering data solutions on AWS
- Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift, and EMR, with experience selecting the appropriate services for different requirements
- Strong Python and SQL skills
- Experience designing and building scalable ETL/ELT pipelines and data processing workflows
- Good understanding of data modeling, data lakes, data warehouses, and modern data platform architectures
- Experience with infrastructure-as-code, ideally Terraform
- Experience with CI/CD and automated testing for data engineering workloads
- Good understanding of data security, governance, access control, and data quality
- Experience making technical design decisions and providing engineering leadership within multidisciplinary teams
- Strong troubleshooting and problem-solving skills
- Confidence working directly with clients and communicating technical concepts, decisions, and recommendations
- Experience supporting and mentoring other engineers
- Current SC clearance is required due to the nature and timescales of our client engagements.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable
- AWS certification at Associate or Professional level
- Experience with streaming and event-driven data technologies
- Experience with technologies such as Spark, Kafka, or Databricks
- Experience delivering data platforms within public sector, defence, or other regulated environments
- Experience working within secure environments and understanding associated security and assurance requirements
- Exposure to machine learning or AI workloads and the data platforms that support them
Trusted by 25,000+ job seekers
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location