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Humand Talent

Senior Data Engineer c. £70k- Remote ID47956

United Kingdom
£60k – £80k/yr
Posted about 18 hours ago
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£60,000 – £80,000 DOE Permanent | Full-time | Remote

We’re working with a purpose-led consultancy looking for a Senior Data Engineer to take ownership of a key data function that sits at the heart of their client delivery. This is not a standard “keep the pipelines running” role. You’ll inherit an existing data pipeline framework, assess what is working, decide what needs improving or replacing, and take the lead on building a robust, scalable approach for the future.

What you’ll be doing

You’ll be responsible for owning and improving data pipelines that transform structured data into graph-based formats. You’ll work closely with consultants, software engineers, and client-facing teams to make sure data is accurate, usable, and meaningful.

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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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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Key responsibilities

  • Own, assess, improve, or rebuild existing ETL/ELT pipelines
  • Build reliable data workflows using Python
  • Work with orchestration tools such as Airflow or similar
  • Improve data quality, validation, lineage, and troubleshooting
  • Collaborate with consultants and non-technical stakeholders
  • Help translate messy business/client data into structured models
  • Learn and apply knowledge graph / semantic web technologies
  • Work with the software team on coding standards, reviews, and best practice
  • Provide technical ownership and direction in an ambiguous, evolving space

What we’re looking for

  • Strong experience building and operating ETL/ELT pipelines
  • Good Python skills
  • Experience with workflow orchestration tools
  • Git/GitHub experience
  • Ability to own technical decisions and work independently
  • Strong communication skills with non-technical stakeholders
  • Comfortable working in ambiguity and shaping your own direction
  • Experience in data modelling, RDF graphs, or semantic technologies

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Applicants must be eligible to work in the UK without sponsorship and be likely to meet BPSS / SC clearance requirements.

Benefits

  • £60,000 – £80,000 depending on experience
  • Remote working
  • 35-hour working week
  • 25 days holiday plus bank holidays
  • 5% employer pension contribution
  • Generous sick pay and parental leave
  • High-quality tech setup
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Skills

ETL/ELT Pipelines
Python
Airflow
Git
GitHub
Data Modelling
RDF Graphs
Semantic Web Technologies
Knowledge Graphs
Data Validation
Data Lineage
Technical Leadership

Location

United Kingdom

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