83zero
Data Engineer

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Data Engineer
London – Hybrid
£65,000 – £75,000
Azure Data / SQL / Financial Services
I’m currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial services, insurance, and healthcare, helping clients develop modern data platforms and turn complex data into valuable business insights.
Joining a client-facing consulting team, you’ll have the opportunity to work across a variety of data engineering projects, with a strong focus on financial services. You’ll be responsible for building, transforming, and structuring large datasets, developing reliable data pipelines, and supporting the delivery of data solutions for reporting, analytics, and operational use.
You’ll work closely with both technical teams and client stakeholders to understand requirements, design scalable solutions, and deliver robust data platforms using modern Azure technologies. The company have offices in London and are looking for someone who is happy to work from the office 2 days per week.
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.
Key Responsibilities
- Develop and maintain scalable data pipelines using Azure Data Factory.
- Build and manage ETL processes using SQL and Python.
- Work with Azure Databricks and Azure SQL / SQL Server to process and manage large datasets.
- Design and implement data models using Kimball, 3NF, and dimensional modelling approaches.
- Develop metadata-driven pipelines to improve automation and efficiency.
- Work closely with technical teams and clients to understand data requirements and deliver effective solutions.
- Maintain high standards of data quality, integrity, and security throughout the data lifecycle.
Experience Required
- Strong commercial experience working within Azure data environments.
- Hands-on experience with Azure Data Factory, Azure Databricks, and Azure SQL / SQL Server.
- Strong SQL and Python skills.
- Previous experience working within Financial Services environments (Banks/Insurance/FinTech).
- Good understanding of modern data architectures, including medallion architecture.
- Understanding of cloud security, IAM, and networking principles.
- Comfortable working within Agile delivery environments.
- Experience with CI/CD pipelines, ideally using Azure DevOps or similar.


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Nice to Have
- Experience with Apache Airflow or dbt.
- Exposure to BigQuery / GCP.
- Azure or other cloud platform certifications.
- Knowledge of data governance and data management frameworks.
- Ideal experience working with financial data, regulatory reporting, or risk-related datasets.
Salary: £65,000-£75,000
Benefits: 25 Days Holiday, Bonus, Share Scheme, Health Insurance, Pension, Life Assurance
If you’re an experienced Data Engineer with Azure, SQL, and Financial Services experience, please apply and I can give you a call to discuss the role in more detail.
Tim Stock
tim.stock@83zero.com | 07980610737
https://www.linkedin.com/in/tim-stock-recruitment/
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