Stiltz Homelifts
Data Engineer

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Position: Data Engineer (SQL, dbt)
Salary: £35,000 - £45,000 per annum
Location: Kingswinford, West Midlands (DY6)
Work arrangement: Fully office based – Full time - Permanent
Stiltz Homelifts is looking for a Data Engineer to join our growing data and analytics team. You’ll help maintain and improve the data infrastructure that powers genuine business decisions and drives next generation commercial workflows. Working as part of a small, cross-functional tech team, maintaining data pipelines and dbt (Data Build Models), writing SQL to answer real business questions.
This is a hands-on SQL and dbt role with visible impact across the whole business from sales to operations, supporting business decisions with data it can trust.
What you'll be doing
- Maintain and improve data pipelines feeding our data warehouse
- Build and improve dbt models including staging layers, business logic transforms, and reporting-ready marts
- Answer business questions with clear SQL, presenting findings clearly to non-technical colleagues who can act on them
- Create and maintain dashboards and reports that are used and trusted by the wider organisation
- Implement and monitor critical data quality tests, working closely with our NetSuite and infrastructure teams
- Ensuring technical documentation and business definitions current and accessible
- Write clean, well-tested code with safe deployment in mind
- Use Git version control consistently and logically, as part of a collaborative workflow
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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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 offer:
- Competitive salary range £35,000 - £45,000 (depending on experience)
- 25 days holiday + 8 statutory bank holidays + 1 extra day off for your birthday!
- Life assurance + critical illness cover
- Pension scheme
- Company bonus scheme
- Enhanced cash back health scheme + wellbeing support
- Employee referral scheme
- Employee discounts
- Cycle to work scheme
- Fully supported induction and ongoing training
What you'll bring
- Expert-level SQL (joins, aggregations, window functions, CTEs)
- Experience with dbt (or similar tools) in a production or near-production environment
- Strong experience with Git and version control
- Demonstrable experience with SQL, pipelines, or data transformations
- Able to interpret data, not just query it, spotting anomalies and explaining insights clearly
- Proven experience of testing and validating code
- Ability to clearly communicate technical information with non-technical colleagues
- Self-motivated and commercially aware
- A proactive, logical approach to problem solving and a genuine appetite to learn
- Degree or equivalent experience in computer science, mathematics, engineering, or related field
- Active interest in AI and emerging tech


Get help with your application
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Bonus points if you have:
- BI tool experience (Power BI, Looker, or Tableau) in a commercial setting
- Basic Python for scripting or extending data models
- Exposure to NetSuite ERP Administration and data structures
- Hands-on experience with a cloud data warehouse (BigQuery, Snowflake, or Redshift)
Why join Stiltz Homelifts
Stiltz Homelifts designs and builds home lifts, we're an ambitious, internationally-growing company, and this is a chance to make a real impact as we scale. Data is central to how we run the business.
If you’re a Data Engineer, who craves ownership of real projects, and want to see your work genuinely used to shape decisions, then apply now!
No agencies please. We work with a carefully selected set of recruitment agencies and we're not looking to add to our PSL. We do not accept unsolicited agency CVs sent to the recruitment team or directly to the hiring manager and will not be responsible for any fees related to unsolicited CVs.
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