RC Fornax
Senior Data Engineer

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Job Title: Senior Data Engineer
Location: Reading (Hybrid)
Contract Length: 6 Months
Rate: £500 a Day
Key Responsibilities
- Design and maintain secure, scalable, cloud-based data platforms and architectures.
- Develop enterprise data pipelines, integration frameworks, and data products.
- Implement DataOps, DevOps, CI/CD, and Infrastructure as Code best practices.
- Ensure data quality, governance, security, compliance, and operational reliability.
- Support cloud migration and data modernisation programmes.
- Provide technical leadership, mentoring, and stakeholder engagement.
- Enable advanced analytics, AI, and data-driven decision-making capabilities.
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.
Requirements
- Experience within Defence, MOD, Aerospace, or highly regulated environments.
- 7+ years' experience in Data Engineering, Data Platforms, or related disciplines.
- Strong expertise in enterprise-scale data architecture and cloud data platforms.
- Hands-on experience with Azure, AWS, or GCP.
- Strong SQL, Python, Spark, ETL/ELT, and data integration experience.
- Experience with DataOps, CI/CD, Infrastructure as Code, and automation.
- Excellent stakeholder management and leadership skills.


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Desirable
- Cloud or Data Engineering certifications.
- Experience with Databricks, Snowflake, Fabric, Airflow, or Azure Data Factory.
- Knowledge of AI/ML, MLOps, Data Mesh, or Data Fabric architectures.
- TOGAF, DAMA CDMP, or related certifications.
- Experience leading large-scale data transformation programmes.
- Knowledge of defence security standards and classified environments.
“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
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