La Fosse
Senior Data Engineer

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Senior Data Engineer Contract Role
Outside IR35 | £500-550/day | Liverpool (3 days on-site) | Hybrid | Initial 6 Months
We have a new Senior Data Engineer contract opportunity with a client based in Liverpool with 3 days required per week on-site.
You’ll join a high-impact team focused on rebuilding and optimising data pipelines into a Databricks Lakehouse environment, enabling clean, scalable, and high-quality data delivery for analytics and reporting.
This is outside IR35, and offers an initial 6-month contract with an immediate start and strong potential for extension.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
Key Responsibilities
- Design, build, and optimise data pipelines using ELT/ETL best practices.
- Migrate and transform data into a Databricks Lakehouse architecture.
- Ensure data quality, reliability, and scalability for analytics and reporting.
- Collaborate with stakeholders to deliver robust solutions aligned with business needs.
- Support production environments and troubleshoot performance issues.


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Ideal Candidate
- 7+ years in Data Engineering with strong experience in cloud-based data platforms.
- Proven ability to design and optimise pipelines for large-scale data processing.
- Hands-on experience with Databricks and Azure.
- Strong stakeholder communication and problem-solving skills.
Tech Stack Required:
- Databricks
- Python
- PySpark
- SQL
- Azure
Bonus:
- Any experience with Fabric or Copilot
If you are interested please apply below!
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