McNally Recruitment Ltd
Data Engineer

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Data Engineer - London OR Manchester OR Edinburgh (2 days in the office)
We are collaborating in sourcing several Data Engineers for a large UK client. You will work from your choice of the London, Manchester or Edinburgh offices, with 2 days per week working in the office, and the rest remotely.
What you'll do
- As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data-driven solutions through data pipelines, modelling and ETL design, aiming to be commercially successful while keeping our customers and the bank’s data safe and secure.
- You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions.
- You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.
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.
Your responsibilities will also include:
- Building advanced automation of data engineering pipelines through removal of manual stages
- Embedding new data techniques into our business through role modelling, training, and experiment design oversight
- Delivering a clear understanding of data platform costs to meet your department's cost-saving and income targets
- Sourcing new data using the most appropriate tooling for the situation
- Developing solutions for streaming data ingestion and transformations in line with our streaming strategy
The skills you'll need
- Strong understanding of data usage and dependencies and experience of extracting value and features from large-scale data.
- Experience designing ETL and ELT solutions, delivering high‑quality, well‑modelled data through rigorous testing, cleansing, monitoring, and modern data warehousing on platforms such as Snowflake
- Hands‑on experience with AWS cloud data platforms and managed services, including S3 object storage, managed ETL, using Glue and metadata services, along with strong security and governance practices
- Experience of using programming languages like SQL and Python, alongside knowledge of data and software engineering fundamentals
- Good knowledge of modern code development practices
- Strong communication skills with the ability to proactively engage with a wide range of stakeholders


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SALARIES INCLUDE 10% Benefits-as-cash
SALARIES for London will differ from Edinburgh & Manchester
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