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Venturi

Data Engineer - Databricks

England
£60k – £80k/yr
Posted about 23 hours ago
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Data Engineering Consultant

Permanent | UK Wide | Hybrid Working (2 days a week in-office)

We're partnering with a highly respected, award-winning technology consultancy that's continuing to invest heavily in its Data & AI practice. As demand continues to grow, they're looking for experienced Data Engineering Consultants to help deliver large-scale cloud data transformation projects for some of the UK's most recognisable organisations.

What You'll Be Doing:

As a Data Engineering Consultant, you'll work closely with clients to understand their business challenges before designing and delivering scalable, cloud-native data solutions.

Your responsibilities will include:

  • Designing and developing modern data platforms using Databricks and cloud technologies.
  • Building robust, scalable data pipelines using PySpark and Python.
  • Creating efficient ELT/ETL processes and implementing best practices around data quality and governance.
  • Optimising data models and data architectures for performance and scalability.
  • Collaborating with Solution Architects, Data Scientists, Analysts and wider engineering teams.
  • Leading technical workstreams and contributing to successful end-to-end project delivery.
  • Providing technical guidance and mentoring to junior consultants where appropriate.
  • Keeping up to date with emerging technologies and helping clients adopt modern data engineering practices.

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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Strong

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What We're Looking For:

We're looking for experienced consultants who combine strong technical skills with excellent communication and stakeholder management.

You'll have:

  • Strong commercial experience delivering modern Data Engineering solutions.
  • Experience with Databricks and PySpark.
  • Strong programming skills in Python and SQL.
  • Experience building and optimising cloud-based data pipelines.
  • Strong understanding of data modelling, data warehousing and modern data architecture principles.
  • Excellent communication skills and the confidence to engage directly with clients.
  • A consultative mindset with the ability to solve complex business problems through technology.

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The company are also scaling in other modern Data Platform Technologies, so they would also be interested in candidates coming from a Snowflake or Microsoft Fabric background.

Benefits:

  • Competitive base salary - Up to £80k base depending on experience.
  • Performance-related bonus.
  • Clear career progression and opportunities to move into Technical Lead or Solution Architect positions.
  • Continuous learning, certifications and professional development.
  • Private medical insurance.
  • Employer pension contribution.
  • Life assurance.
  • 25 days annual leave plus bank holidays - With a further buy/sell scheme.
  • Access to online learning platforms and funded professional certifications.

If you're interested in learning more, please apply via the link!

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Skills

Databricks
PySpark
Python
SQL
Data Engineering
Cloud Data Pipelines
Data Modelling
Data Warehousing
ETL/ELT
Stakeholder Management
Data Governance
Cloud-native Architecture

Location

England, United Kingdom

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