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TECHNE is supporting a fast-growing battery intelligence and electrification technology business that is expanding its data engineering capability.
The company sits at the intersection of data, AI, and complex engineering, supporting applications across automotive, heavy industry, and energy storage.
They are now hiring two Technical Specialist Data Engineers to help shape how customer data is engineered, delivered, and scaled.
Role: Technical Specialist Data Engineer
Location: UK
Type: Full-Time, Permanent
Package: Competitive Salary + Benefits + Equity
Role Purpose
This is not a traditional Data Engineer position focused purely on pipelines and platform maintenance.
You will take ownership of customer-facing data engineering projects from technical discovery through to delivery, while helping define the standards, architecture, and delivery model used as the team grows.
You will stay hands-on technically, working across AWS, Snowflake, data pipelines, transformations, validation, and AI-ready workflows, while partnering with Data Science, AI, Product, Cloud, and specialist engineering teams.
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.
Key Responsibilities
- Own customer data engineering projects from discovery through to delivery.
- Build and develop pipelines, transformations, and data models across AWS and Snowflake.
- Work directly with customers to understand complex data problems and define the technical approach.
- Support data workflows feeding AI and machine learning applications.
- Improve data quality, validation, observability, and platform reliability.
- Help establish repeatable engineering standards and delivery practices.
- Lead technical workstreams as the platform and customer base grow.
Experience Required
- Strong hands-on data engineering experience.
- Commercial experience with AWS and Snowflake.
- Experience building scalable data platforms, pipelines, transformations, and models.
- Comfortable working directly with customers and senior technical stakeholders.
- Strong understanding of data quality, validation, and reliability.
- Interested in taking broader technical ownership rather than staying within a narrow engineering remit.
Desirable Experience


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- AI or machine learning data workflows.
- Telemetry, IoT, or time-series data.
- Technical or project leadership.
- Experience within automotive, energy, industrial technology, or another engineering-led environment.
- Battery experience is not required.
Why this opportunity
- Join while the data engineering model is still being defined.
- Shape technical standards and delivery practices rather than inherit a fixed platform.
- Combine hands-on engineering with real customer and technical ownership.
- Work with complex real-world data across AI, electrification, and engineering products.
- Lead workstreams and grow towards wider technical or platform leadership.
- Join at a stage where your decisions will influence how the data capability develops as the business scales.
If you are an experienced Data Engineer looking for more ownership, broader technical exposure, and the chance to shape a growing engineering platform, please get in touch for a confidential discussion.
Further information on the company, team, package, and progression is available directly.
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