Itransition Group
Data Engineer Databricks

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Data Engineer - Databricks
We're looking for a Data Engineer (Databricks) who will work closely with clients across various industries to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as you’ll be translating complex data requirements into actionable architectures and pipelines while engaging directly with stakeholders.
Responsibilities
- Interact with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions.
- Building medallion architecture and strong canonical models for ORM.
- Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks.
- Deploy and govern cloud-based data platforms on Azure and AWS, selecting the right approach for each engagement's unique constraints.
- Champion data governance, security, and compliance standards.
- Produce clear technical documentation and lead knowledge transfer sessions that genuinely enable client teams to operate independently.
- Support project scoping, estimation, and reporting with delivery managers and consultants.
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
- 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment.
- Hands-on experience with Databricks Lakehouse Platform.
- Strong SQL skills and proficiency in Python.
- Experience designing and deploying solutions in cloud environments.
- Ability to quickly grasp diverse business domains and adapt technical solutions accordingly.
- Strong communication skills to interact with both technical and non-technical client stakeholders.
- Experience working in agile, fast-paced project environments with shifting priorities.
- Based in London is a must.


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Nice to have
- Experience with Snowflake.
- Databricks or Snowflake certifications (e.g., SnowPro Core, Databricks Certified Data Engineer).
- Familiarity with BI tools such as Power BI, Tableau, or Looker.
- Previous experience in sectors like finance, healthcare, retail, or manufacturing is a plus.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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