Arrows
Data Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Engineer - ETL - Data Warehousing - SWL
6 month contract - Paying up to £500 per day (Inside IR35) - Immediate starters
Overview
My client is looking for a Senior Data Engineer who can hit the ground running and has commercial experience working with ETL and Data Modelling.
What you'll do:
- Build Scalable Data Solutions - Design, build and support Data Models & distributed ETL pipelines using big data technologies on large scale data sets.
- Deliver Impactful Data Features - Collaborate with our many stakeholders from multiple business areas to understand business and data challenges, thereafter, developing requirements, specifications and recommendations related to a proposed solution.
- Champion DataOps & Best Practices - Drive data engineering excellence by embedding DataOps principles and best practices into everything you do - becoming a go-to expert in one or more data domains.
- Solve Real-World Problems with Modern Tools - Tackle complex data challenges using tools like Google BigQuery, Python, SQL, and DBT, with opportunities to experiment and optimise through AI.
- Lead & Mentor - Support and coach team members, sharing knowledge and acting as a role model while deputising for the Engineering Manager when needed.
- Collaborate in Agile Squads - Work effectively across multiple workstream squads embedding as needed to support delivery and provide data engineering expertise.
- Shape the Future of Data at Scale - Act as a bridge between various workstreams and the core SDP engineering organisation ensuring alignment to platform best practices, data governance, and architectural principles.
- Support workstream squads onboarding data feeds - Contributing to strengthening collaboration and reducing mismatches with upstream systems.
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.
What you'll bring:
- Data Analysis & Engineering Expertise - Proven experience designing and building complex data models and distributed data pipelines, with a strong focus on data analysis, insight generation, and solving real-world business problems at scale.
- SQL Mastery - Advanced SQL skills for high-performance data transformation, exploration, and optimisation across large, complex datasets.
- Engineering Best Practices - Solid foundation in software and data engineering, including hands-on experience with CI/CD workflows, test-driven development, and agile collaboration.
- Cloud-Based ETL & Data Warehousing - Demonstrated success delivering large-scale data warehousing solutions, including dimensional modelling and ETL pipeline design - ideally within Google Cloud Platform (GCP) and good working knowledge of DBT (Data Build Tool) for building and managing data pipelines.
- Modelling & Data Flow Understanding - Knowledge of how data is structured, processed, and applied within analytics and reporting environments.
- Incident Support & Operational Readiness - Ability to support the team in diagnosing and resolving data-related incidents, ensuring platform reliability and timely issue resolution.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
The interview process is already underway, so if this opportunity is a good fit for you, apply now!
“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
Skills
Location