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Technical Lead – Datacore
Technical Lead – Data Analytics & AI Team
About the Role
As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with a clear goal to become the premium adviser to the middle market, globally. If you are looking for a firm where you can build a future and make an impact, then RSM UK is the place for you.
We are seeking a Technical Lead to join our Data, Analytics & AI team within a professional services environment. The successful candidate will provide technical leadership for the design and delivery of capabilities supporting the firm’s cloud data platform, Datacore.
Operating across Microsoft Fabric, Azure Databricks, and wider Azure services, the role will help federated and client-facing teams adopt Datacore safely, consistently, and effectively. The Technical Lead will work closely with:
- Data Architects
- Platform Teams
- Delivery Teams
To translate architectural principles into platform capabilities, implementation patterns, reusable technical standards, and utilise Datacore.
Key Responsibilities
- Provide technical leadership for the design and delivery of Datacore platform capabilities, cloud data services, and reusable engineering patterns
- Support client-facing teams in adopting Datacore safely and consistently across development of new data products and services
- Define reusable implementation patterns for common Datacore use cases, including:
- Ingestion
- Medallion architecture
- Data quality
- Orchestration
- Semantic modelling
- Publication
- Define and promote controlled engineering practices across Datacore assets, including:
- Source control
- Development
- Testing, deployment
- Validation and support
- Identify opportunities to improve Datacore capability in:
- Efficiency
- Lineage, discovery
- Automation, observability
- Cost effectiveness
- Work closely with:
- Data architects
- Technical teams
- Business partners
- Internal stakeholders
- Align technical delivery with business priorities
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.
See breakdownIt searches the market for you
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.
Requirements
At RSM, we value diverse experiences and perspectives. Here’s what we’re looking for in an ideal candidate:
-
Significant experience in:
- Cloud data engineering
- Data platform delivery
- Data product implementation within an enterprise environment
-
Strong, practical understanding of:
- Microsoft Fabric
- Azure Databricks
- Azure data services or equivalent cloud data platform technologies
-
Proven ability to:
- Translate architectural principles into implementation patterns, technical standards, and development work packages
-
Experience in:
- Designing and delivering scalable, secure, and supportable data products
- Cloud data services
-
Strong understanding of:
- Lakehouse architecture
- Medallion patterns
- Data ingestion, transformation, orchestration
- Data publication
-
Experience supporting federated or distributed delivery teams via:
- Technical guidance
- Design review
- Enablement
- Reusable delivery patterns


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Your very own career expert that helps elevate your application to the next level.
-
Strong communication skills with the ability to explain technical decisions, risks, and trade-offs to:
- Technical and non-technical stakeholders
-
Hands-on technical credibility in relevant data engineering technologies, including:
- SQL
- Python
- Spark
- Notebooks
- Orchestration tools
- APIs
- Cloud data platforms
Benefits
We recognise that our people are our most important assets at RSM. That’s why we offer a flexible reward and benefits package that enhances your work experience both in and out of the office:
- Hybrid and flexible working
- 26 days holiday (additional days optionally available)
- Lifestyle, health and wellbeing benefits:
- Financial wellbeing tools
- Electric car scheme
- Access to a virtual GP
- Suite of 300+ courses (on-demand, developed in-house by the Talent Development team)
Diversity and Inclusion at RSM
At RSM, we are committed to building a strong sense of belonging, ensuring employees of all backgrounds and identities feel valued and can bring their true selves to work. Our clients reflect a range of perspectives, and we strive for our teams to embody the same diversity, experience, and varied insights to better understand and meet their clients' needs.
Diverse teams bring richer ideas and innovative thoughts to projects, fostering a supportive firm culture. Our principles and processes actively promote inclusion and embrace all identities and cultures, building an impactful and vibrant workplace.
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Jessica, London
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