Precision Medicine Group
Engineering Director

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Head of Data Engineering & Data Hub (Hands-on Engineering Lead)
Here at Precision AQ, we are building a Data Hub—a centralized platform team responsible for:
- Consolidating legacy data infrastructure
- Establishing an enterprise data foundation and governance
- Enabling AI/ML capabilities across the organization
Moved from strategy to execution, we now need a technical leader to build and run the team.
Job Summary
This is a hands-on engineering leadership role. You’ll:
- Stand up and scale a high-performing team of data engineers, analytics engineers, and platform engineers
- Own day-to-day engineering operations: sprint delivery, technical quality, and capacity planning
- Drive technical excellence: architecture decisions, DevOps/GitOps, production reliability, and code quality
- Serve as the primary technical escalation point for blockers, cross-team dependencies, and delivery risks
- Partner with the SVP on hiring, team development, vendor relationships, and strategic planning
Key Responsibilities
Engineering Team Leadership
- Build, lead, and develop a high-performing team (data engineers, analytics engineers, and platform engineers)
- Set expectations, run 1:1s, and manage performance
- Foster a culture where strong engineers thrive, grow, and stay
- Be accountable for output, quality, and team morale
Sprint Delivery & Capacity Management
- Lead Agile delivery cadence: sprint planning, standups, and retrospectives
- Manage concurrent workstreams (platform build, migrations, feature development)
- Ensure commitments are realistic, measurable, and delivered on time
Technical Design & Architecture
- Lead technical design reviews and plateform engineering
- Enforce scalable, maintainable, and governed solutions aligned with our medallion data architecture
- Review code, debug production issues, and make sound architectural judgments
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
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Engineering Quality & Standards
- Establish and enforce best practices:
- Code review and branching strategy
- CI/CD, testing, and documentation
- Incident management
Partner with SVP
- Collaborate on hiring and onboarding
Cross-Functional Coordination
- Cross-team technical interface with Insights Hub, Evidence Solutions, Product Solutions, and IT
- Translate business requirements into technical scope
- Manage dependencies with Corporate IT, Security, and external vendors
- Early escalation of blockers to minimise delays
Platform Operations & Reliability
- Ensure production systems meet SLAs
- Define monitoring, alerting, and incident response processes
- Uphold production reliability while balancing delivery demands
Required Experience & Education
Core Qualifications
✔ 5+ years in data engineering, analytics engineering, or platform engineering (on-prem or cloud) ✔ 3+ years leading engineering teams, including hiring, performance management, and delivery accountability ✔ First-hand experience with a modern data stack:
- Cloud data warehouses (with Snowflake preference)
- Transformation frameworks
- Orchestration tools (Airflow, or comparable) ✔ Track record of delivering:
- Complex data platform migrations
- Legacy system consolidations
- Greenfield builds ✔ Experience in regulated or compliance-sensitive environments (e.g., healthcare, pharma, finance) ✔ Hands-on ability to:
- Review code and debug production issues
- Make sound architectural decisions


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"This Role Is For You If..."
✅ You’ve built and scaled engineering teams and enjoyed it ✅ You’re excited by the challenge of consolidating legacy systems into something better, more scalable, and more controlled ✅ You thrive in ambiguity and can make progress with imperfect information ✅ You care about engineering craft: clean code, robust tests, and clear documentation ✅ You want hands-on involvement while forging internal processes ✅ You can balance stakeholder demands with team health ✅ You’re driven to shape the function itself, not just please its owners
About Precision AQ
We’re a precision medicine company leveraging AI/ML and data to transform healthcare.
AI judged equal opportunity – applicants will decisions without bias, including:
🌍 Race 🔴 Colour 👴 Age 🙏 Religion 👩 Sex, sexual orientation, gender identity 🗺️ National origin ✋ Disability 🚜 Veteran status 📄 Other protected characteristics under law
Privacy & Scam Warning
- No requests for payment, banking details, or personal financial information from Precision AQ will be made.
- Any unsolicited recruitment scams targeting applicants should be reported to myHR@precisionmedicinegrp.com
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Ready? Reach out to your recruiter or apply now – let’s build next-generation data at scale.
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