Senior Data Engineer
Job Reference Number: PG1
Our client, a leading global supplier for IT services, requires Senior Data Engineer to be based at their client’s office in London, UK.
This is a hybrid role – you can work remotely in the UK and attend the London office 2 days per week .
This is a 6+ month temporary contract to start asap
Day rate: Competitive Market rate
Key Responsibilities
- Designing, building and maintaining production-grade data pipelines and services across AWS, PySpark, Snowflake and SQL-based transformation frameworks
- Developing and maintaining modular, testable and high-quality data models and transformation pipelines using DBT or equivalent structured SQL frameworks
- Improving pipeline robustness through automation, monitoring, validation, dependency management and engineering best practices to reduce manual intervention and production failures
- Diagnosing and resolving pipeline failures, supporting reruns and validations, and addressing data quality issues to maintain continuity of critical customer-facing use cases
- Contributing to CI/CD and DevOps practices including GitHub Actions, version control, testing disciplines and exposure to Infrastructure-as-Code such as Terraform
Key Requirements
Essential Skills:
- Experience with AWS data stack (S3, EMR, EC2, etc.)
- PySpark
- Production-grade data pipelines
- Performance optimisation and large-scale data processing
- Snowflake
- Data modelling (RDV/BDV or similar patterns preferred)
- Query performance tuning
- DBT (or equivalent SQL transformation framework)
- Development of modular, testable data models
- Experience working in structured transformation frameworks (e.g. dbt, Grid-style approaches)
- CI/CD & DevOps
- Hands-on experience with GitHub Actions (or similar)
- Exposure to Infrastructure-as-Code (e.g. Terraform)
- Experience working in engineering-led environments with strong SDLC practices
- General engineering maturity
- Strong software engineering principles (testing, modularity, version control)
- Experience working in cross-functional product/data teams
- Ability to contribute to design and solutioning discussions
Desirable Skills:
- Exposure to MLOps / data science pipelines
- Previous experience working in retail/large-scale customer data environments
Due to the volume of applications received, unfortunately we cannot respond to everyone.
If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Please do keep an eye on our website https://projectrecruit.com/jobs/ for future roles.
