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PERM - Staff Data Engineer

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Staff Data Engineer | Permanent | Up to £140,000 + Bonus
Location
Hybrid – London (3 days per week on-site)
Salary
Up to £140,000 + c.20% bonus + additional benefits
Employment
Permanent
We're supporting a major UK financial services organisation as they undertake a significant programme of data engineering modernisation and transformation, alongside substantial investment in AI-driven engineering capabilities.
We're looking for an exceptional Staff Data Engineer who combines deep hands-on engineering expertise with the technical leadership to challenge existing approaches, shape solutions and raise engineering standards across multiple teams.
This is a high-impact opportunity to help modernise a large-scale data estate, develop new data products and influence how modern engineering practices are adopted across the organisation.
Crucially, this is a hands-on technical leadership role, not a purely strategic or architectural position.
The Opportunity
You'll play a central role in transforming the organisation's data engineering capabilities, including the modernisation and migration of thousands of existing data pipelines.
Working across multiple engineering teams, you'll help establish scalable data engineering frameworks, accelerate delivery through AI-assisted development and support the organisation's ambition to build greater internal data engineering capability.
Key Responsibilities
- Providing Staff-level technical leadership across major data engineering and transformation initiatives.
- Remaining deeply hands-on with Python, PySpark and Apache Spark.
- Leading the modernisation and migration of large-scale data pipelines across AWS.
- Designing and challenging technical approaches across AWS Glue, Airflow and associated technologies.
- Shaping scalable data architectures, reusable engineering frameworks and development standards.
- Supporting the design and delivery of new data products.
- Championing AI-assisted development tools to improve engineering productivity and accelerate delivery.
- Collaborating with senior technical stakeholders and engineering teams to challenge existing thinking and drive technical improvements.
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.
What We're Looking For
- Extensive hands-on Python, PySpark and Apache Spark expertise.
- Deep experience with AWS data engineering, particularly AWS Glue.
- Strong experience with Apache Airflow and complex data pipeline orchestration.
- Proven experience delivering large-scale data transformation, migration or modernisation programmes.
- Strong software engineering fundamentals and the ability to design scalable, maintainable engineering solutions.
- Experience operating at Staff, Principal or equivalent technical leadership level.
- Ability to independently shape technical direction, challenge existing approaches and influence multiple engineering teams.
- A genuine desire to remain deeply hands-on with engineering and code.
- Experience adopting modern AI-assisted development tools, such as Claude Code, within engineering workflows.
- Strong communication skills and the ability to engage with senior technical stakeholders.
- Experience with Snowflake and delivering data solutions within financial services or another highly regulated environment would be particularly beneficial.


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Why Consider This Opportunity?
This is an opportunity to take a leading technical role in an organisation making a significant investment in modernising its data estate and transforming its engineering capabilities.
You'll have the opportunity to influence technical direction across multiple teams, tackle complex data engineering challenges and help establish modern engineering practices, including the adoption of AI-assisted development.
We're particularly interested in engineers who can operate across technical strategy and hands-on delivery — individuals who can challenge the thinking, define the approach and then get into the code to prove and deliver the solution.
The permanent nature of the position also offers the opportunity to take long-term ownership of technical decisions, develop internal engineering capability and play a meaningful role in the organisation's wider transformation.
Salary
Up to £140,000 + c.20% bonus and additional benefits
If you're a Staff or Principal-level Data Engineer who wants to remain deeply technical while influencing the direction of a major enterprise data transformation, we'd be keen to speak with you.
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