Deloitte - Recruitment
Senior Data Engineer | AWS | Azure | SAP (Contract)

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Contract Role: Senior Data Engineer
Contract Location: London 4-5 days onsite each week
Contract Start: Starting ASAP (inside IR35)
Contract duration: End of 2026
Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay
Roles and Responsibilities:
The Senior Data Engineer is responsible for designing and building data foundations and end-to-end solutions for the business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider Business stakeholder community. A Senior Data Engineer is expected to be a subject matter expert, who designs and builds data solutions and mentors junior engineers. They are also the key drivers to convert Vision and Data Strategy for IT solutions and deliver.
Key Characteristics:
- Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions.
- Deep data focus with expertise in technology domain.
- A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff.
- Actively delivers the roll-out and embedding of Data Foundation initiatives in support of the key business programmers.
- Coordinate the change management process, incident management, and problem management process.
- Present reports and findings to key stakeholders and be the subject matter expert on Data Analysis & Design.
- Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation, and maximize value delivery.
- Contributes to community building initiatives like CoE, CoP.
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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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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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.
Mandatory Skills:
- AWS/Azure/SAP: Master
- ELT: Master
- Data Modeling: Master
- Data Integration & Ingestion: Skill
- Data Manipulation and Processing: Skill
- GITHUB, Action, Azure DevOps: Skill
- Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest: Skill
Optional Skills:
- Experience in project management, running a scrum team.
- Experience working with BPC, Planning.
- Exposure to working with external technical ecosystem.
- MKDocs documentation.


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Project Description: High Level Objective
The business aims to leverage information flow advantage across RDS to improve decision making and trading bias based on data insights. The project will increase value creation through collaboration, creating new cross commodity trading opportunities (in both Crude and Products). It will provide better investment in analysis capabilities, tools, and infrastructure and more rapidly deploy near-term value creation for trading desks.
Deliverables
The initial part will tackle the low-hanging fruit, getting things out of Excel, unlocking the power of new visualization tools, restructuring, and cleaning up existing models. This part will deliver initiatives to support better analysis of Refinery maintenance, Crude supply & demand, and Gasoline supply and demand amongst others. The core Cloudera platform deployment will ensure we create a Data Lake and not a Data Swamp and will improve decision making & trading bias via insights from data. An Asset Capacity & Maintenance deployment will give T&S the summary of planned and unplanned Refinery Maintenance plus Capacity information.
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