Data Engineering Consultant

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London / £45000 - £55000 annum

INFO

Salary
SALARY:

£45000 - £55000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

Data Engineering Consultant

Salary: £45,000 - £55,000

Location: London (4 Days a Week in Office)

Work on the front lines of innovation, embedding next-gen platforms directly into the operations of world-class organisations. Your engineering will become the competitive edge others can't replicate.

The Opportunity

This role offers the chance to work at the frontier of technology and real-world operations, embedding advanced data and AI systems directly into major industrial organisations. You'll operate as a problem-solver and builder, transforming complex business challenges into scalable, high-impact solutions. The position sits within a rapidly growing, category-defining startup where engineering excellence directly drives customer success.

You'll collaborate closely with an elite, interdisciplinary team while gaining exposure to cutting-edge platforms, generative AI workflows, and large-scale data integration. It's an opportunity to shape transformative systems that deliver meaningful, measurable outcomes across global enterprises.

Role and Responsibilities

This role centers on working directly with customers to deploy and tailor a powerful data and AI platform to solve their most complex operational challenges. You'll design and implement scalable generative AI workflows, often using technologies like Palantir AIP, while building robust data pipelines with PySpark, Python, and SQL. A key responsibility is executing sophisticated data integrations across distributed systems and enterprise environments, including ERPs and CRMs.

You'll collaborate closely with client stakeholders to translate ambiguous requirements into clean, maintainable solutions that drive real impact. Familiarity with tools such as Airflow, DBT, Databricks, dashboarding frameworks, and Typescript is a strong plus as you help deliver end-to-end production-ready systems.

Interview Process

  1. Teams conversation (introductory chat)
  2. Technical take home exercise
  3. Presentation (In-Person)
  4. Conversation with the CTO

Step into a role where your engineering drives real-world impact and shape the future of enterprise technology-apply today.

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