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Michael Page

Senior Data Engineer

London
£700 – £900/day
Posted about 15 hours ago
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Senior Data Engineer

We're seeking a Senior Data Engineer to play a key role in designing and delivering scalable, cloud-based data solutions that support business-critical decision-making. You'll work across the full data lifecycle, building robust pipelines, optimising performance, and helping drive best practice within a growing data function.

Client Details

Our client is a forward-thinking organisation undergoing significant investment in its data and technology capabilities. Operating in a fast-paced environment, they are leveraging modern cloud technologies to transform how data is used across the business and create a more data-driven culture.

Description

  • Design, develop, and maintain scalable data pipelines using Python and Databricks.
  • Build and optimise ETL/ELT workflows using Spark and Delta Lake.
  • Develop and maintain data models and lakehouse architectures.
  • Ensure high levels of data quality, reliability, governance, and security.
  • Optimise the performance of distributed data processing workloads.
  • Collaborate with analysts, engineers, and data scientists to support reporting and advanced analytics initiatives.
  • Implement monitoring, logging, and alerting frameworks across data platforms.
  • Support and mentor junior engineers while promoting engineering best practices.
  • Contribute to the continual evolution of the organisation's data platform and architecture.

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.

Start with a chat, not a search bar

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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It 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.

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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

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.

£700-900 Day Rate (Inside IR35)

Profile

  • 10+ years' experience in Data Engineering.
  • Strong commercial experience with Python.
  • Advanced hands-on knowledge of Databricks, including notebooks, workflows, jobs, and Delta Lake.
  • Strong experience with Apache Spark / PySpark.
  • Proven track record building and maintaining scalable ETL pipelines.
  • Strong SQL and data modelling expertise.
  • Experience working within AWS, Azure, or GCP environments.
  • Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift.
  • Familiarity with orchestration tools including Airflow or Databricks Workflows.
  • Excellent communication skills with the ability to engage technical and non-technical stakeholders.
  • Strong problem-solving mindset and a passion for delivering high-quality data solutions.

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Job Offer

  • Opportunity to influence the direction of a modern data platform.
  • Exposure to the latest cloud, data engineering, and lakehouse technologies.
  • Collaborative and highly skilled technical environment.
  • Clear opportunity to mentor others and shape engineering best practice.
  • Flexible working arrangements.
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Location

London, England, United Kingdom

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