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Data Engineer

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About the Role
Are you passionate about solving complex data challenges and building innovative data solutions, especially with cutting-edge tools like Microsoft Fabric, Azure, Google, AWS? Do you thrive on logical problem-solving and are energized by using technology to drive impactful results? If you have hands-on experience as a Data Engineer and are eager to work with Copilot agents and AI tools, we want to hear from you.
We’re searching for a Data Engineer with practical expertise in designing, optimizing, and maintaining data pipelines and storage within Microsoft Fabric, Azure Synapse, Azure Data Factory, and Azure Fabric. Experience with Azure, Google, or AWS data tools is valuable, but a willingness to learn and a hunger for growth are just as important.
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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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.
Responsibilities


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- Designing, building, and optimizing data pipelines using Microsoft Fabric, Azure Synapse, Azure Data Factory, and Azure Fabric.
- Developing and fine-tuning PySpark notebooks to efficiently manage large-scale data workloads.
- Implementing, troubleshooting, and enhancing ETL/ELT workflows in Azure Synapse and Microsoft Fabric.
- Managing and organizing Data Lakes for seamless data access and high performance.
- Integrating AI/LLM models, including Copilot agents into data pipelines to boost innovation and deliver actionable insights.
- Collaborating with Business team, Data Experts, AI Engineers, Data Analysts, and business domain experts to create powerful, data-driven solutions.
- Participating in and supporting data security, governance, and compliance initiatives within the Azure and Microsoft Fabric ecosystem.
- Gathering data from multiple sources like APIs and handling large data volumes.
- Staying at the forefront of emerging cloud platforms, AI, and big data technologies, with a focus on practical, hands-on applications.
“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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