AGNTX
Senior Data Engineer

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Senior Data Engineer — Informatica | 2 Positions | £500/day inside IR35 | England, United Kingdom | 95% Remote
Two data engineering positions on a major UK government programme, and the working pattern is the part worth reading twice: 95% home working, with roughly one day a month at the Leeds Digital Hub.
THE WORK
This is a SAS to Informatica migration inside an enterprise data warehouse. You will be analysing existing SAS jobs, redesigning the ETL logic where it needs it, and rebuilding it properly in Informatica without losing data integrity or business outcomes along the way.
Alongside that, building and supporting enterprise-grade ETL workflows, and developing Oracle solutions — SQL, stored procedures and data models built to perform at scale.
ESSENTIAL
- Informatica PowerCenter, ideally 10.6
- Oracle — SQL, stored procedures, data modelling
- UNIX shell scripting
- SC clearance
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.
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.
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.
See breakdownIt 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.
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.
SAS experience is not essential but it helps considerably, since the migration work runs through the whole engagement.
ADVANTAGEOUS
- AWS and Spark — Amazon EMR, S3, Lambda. Strong PySpark, Python and SQL for large-scale batch processing
- Data engineering at scale in government or similarly complex domains, including performance tuning and data quality management
- CI/CD and DevOps — pipelines and IaC such as Terraform, automated testing, release governance
- Version control and collaboration — Git and GitLab, code review, branching strategies, trunk and PR workflows
- APIs and integration — building and consuming data services to move and expose data safely
- Agile working with Jira and Confluence, clear stakeholder communication and concise technical documentation
- Data warehousing and modelling — Redshift, dimensional modelling, dbt
- Basic Power BI familiarity, to partner with BI developers and validate end-to-end data flows
- AWS ecosystem depth — Athena, Redshift, EC2, CloudWatch, IAM — and event-driven patterns


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CERTIFICATIONS
The client has listed AWS Certified Cloud Practitioner (or higher) and Azure AI Fundamentals as mandatory.
THE DETAILS
- Rate: £500 per day, inside IR35
- Location: 95% home working. Approximately 5% on site at the Leeds Digital Hub
- Contract: Initial 6 months
- Start: Immediate
- Clearance: One seat SC cleared and immediate. One seat SC eligible
One of these two positions needs someone already SC cleared and available immediately. The second can go to someone SC eligible, so if you hold BPSS or are clearable you are still in scope.
An enterprise data warehouse migration is not six months of work. The word initial is doing real work here.
“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.”
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