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Senior Data Engineer

JR United Kingdom

London

On-site

GBP 80,000 - 110,000

2 days ago
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Job summary

An established industry player in AI and Data Engineering is seeking a Senior Data Engineering Consultant to join their innovative team. This role offers the opportunity to work on cutting-edge projects using Databricks and MLOps, collaborating with top industry leaders. You will drive impactful data engineering solutions and contribute to transformative AI initiatives, making a significant difference in the data landscape. If you are passionate about modern data technologies and want to shape strategies that drive success, this is the perfect opportunity for you.

Qualifications

  • Strong experience with Databricks and proven Data Engineering solutions.
  • Cloud experience with Azure, AWS, or GCP is essential.

Responsibilities

  • Drive end-to-end data engineering and AI projects from design to delivery.
  • Shape data strategies and contribute to innovative AI/ML transformations.

Skills

Databricks

MLOps

Python

SQL

Data Engineering

Cloud (Azure, AWS, GCP)

Snowflake

Data Architectures

Job description

Senior Data Engineering Consultant – Top-Tier Data & AI Consultancy

Are you ready to work at the forefront of AI, Data Engineering, and Machine Learning? Our client, a leading UK-based Data & AI consultancy, is building a best-in-class Databricks practice and looking for experienced Senior Data Engineering Consultants to join their team.

What You’ll Do:

  1. Drive end-to-end data engineering and AI projects – from design to technical delivery
  2. Work with Databricks, MLOps, Python, SQL, and other cutting-edge technologies
  3. Partner with senior stakeholders and Databricks experts to deliver high-impact solutions
  4. Shape data strategies and contribute to innovative AI/ML transformations

What You’ll Need:

  1. Strong experience with Databricks (ideally certified)
  2. Proven track record building Data Engineering solutions from scratch
  3. Experience with MLOps is a plus
  4. Cloud experience across Azure, AWS, or GCP
  5. Hands-on expertise with Snowflake
  6. Strong understanding of data architectures is a real bonus

Why Join?

  1. Be at the forefront of modern data & AI – Work on complex, high-value projects
  2. Collaborate with top industry leaders – Gain exposure to senior decision-makers
  3. Make an impact – Take ownership and help shape strategy & delivery

Logistics & Process:

  1. Salary: £80k-£110k (based on experience & banding)
  2. Interview Process:
    1. First stage – Chat with the Solutions Director
    2. Second stage – Live Technical Presentation (1-hour prep, no take-home task)
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