Data Engineer - SC Cleared - AWS
Posted 2 days ago by SR2 - Socially Responsible Recruitment
£500 Per day
Undetermined
Undetermined
London, UK
Summary: The Data Engineer role focuses on enhancing existing datasets and optimizing data pipelines within a transformation programme. This position requires direct interaction with operational stakeholders to translate their requirements into effective data solutions. Strong communication skills are essential, as the role involves engaging with non-technical audiences. The ideal candidate will have a solid background in data engineering and AWS technologies.
Key Responsibilities:
- Continuous improvement of existing datasets and data models.
- Augmenting and refining data pipelines to meet evolving programme needs.
- Working directly with operational stakeholders to understand requirements.
- Translating real-world requirements into schemas and data models.
- Ensuring efficient pipeline runs and clear communication with non-technical audiences.
Key Skills:
- Solid data engineering experience in pipeline development and schema design.
- Strong AWS skills across core services such as Lambda, S3, and Athena.
- Excellent customer-facing and communication skills.
- Ability to translate complex data requirements into clear solutions.
- Experience with operational or government datasets is beneficial.
- Familiarity with Tableau is advantageous.
- SC clearance is required.
Salary (Rate): £500 per day
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Engineer - SC Cleared - AWS
SR2 is on the lookout for an experienced Data Engineer to join an in-flight transformation programme.
You'll be joining the data engineering function at a moment of transition and growth. The majority of the work will focus on continuous improvement of existing datasets, augmenting, refining, and optimising pipelines and data models to meet evolving programme needs.
This is a customer-facing role in the truest sense. You'll be working directly with operational stakeholders to understand real-world requirements and translate them into schemas, data models, and efficient pipeline runs. Clear communication and the ability to engage credibly with non-technical audiences are as important as technical capability here.
Tech Stack
- AWS - Lambda, S3, Athena, CloudWatch
- Tableau - beneficial
- Terraform IaC - familiarity is advantageous as the programme moves toward infrastructure-as-code
What We're Looking For
- Solid data engineering experience - pipeline development, schema design, data modelling
- Strong AWS skills across core services - Lambda, S3, Athena
- Strong customer-facing and communication skills - this is not a heads-down role
- Ability to translate complex data requirements into clear, efficient solutions
- Experience working with operational or government datasets - beneficial
- Tableau experience - advantageous
- SC clearance
