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Beagle

Senior Data Engineer – Databricks SME

London
£95k – £100k/yr
Posted 1 day ago
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Senior Data Engineer – Databricks SME

We're looking for an experienced Senior Data Engineer to join our client's growing data team and play a pivotal role in shaping the future of their modern data platform.

Working with Azure, Databricks and Lakehouse technologies, you'll design and build scalable, production-grade data solutions that enable analytics, operational reporting and the next generation of AI-powered products. This is an opportunity to work on complex, high-impact engineering challenges within a collaborative, forward-thinking technology team.

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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Strong

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Responsibilities

  • Design and optimise data pipelines using Azure Databricks, Delta Live Tables, Synapse and Delta Lake
  • Build scalable Lakehouse solutions following Medallion Architecture (Bronze, Silver, Gold)
  • Develop ingestion and transformation pipelines across APIs, SQL, SaaS platforms and FTP
  • Drive data quality, governance, monitoring and performance optimisation
  • Champion engineering best practices, CI/CD, testing and Infrastructure as Code
  • Collaborate with analysts, data scientists and product teams to deliver trusted, production-ready data
  • Mentor engineers and help shape the future of our Databricks platform

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Experience required

  • 5+ years' experience in cloud-based data engineering
  • Strong expertise in Azure Databricks, Delta Lake, Unity Catalog, ADF and Synapse
  • Advanced Python and SQL skills
  • Experience building production-grade data pipelines and Lakehouse architectures
  • Knowledge of Azure DevOps, CI/CD, Terraform and data governance best practices
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Skills

Azure Databricks
Delta Lake
Unity Catalog
ADF
Synapse
Python
SQL
Data Pipelines
Lakehouse Architecture
CI/CD
Terraform
Data Governance
Data Quality
Monitoring
Performance Optimisation
Engineering Best Practices

Location

London, England, United Kingdom

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