Data Engineer

Xpertise Recruitment
London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
£156,000.0 - £161,200.0
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Microsoft Azure Big Data Cloud Engineering Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Distributed Computing Environment
+11 more
Cloud Services Standard Sql Snowflake Apache Spark Data Strategy AI Platforms Apache Kafka Machine Learning Operations Terraform Data Pipelines Databricks

Job description

The successful consultant will be able to:

  • Engage and challenge senior stakeholders
  • Lead technical discussions and workshops
  • Shape data strategy and platform direction
  • Provide architectural guidance and best practice
  • Influence both business and technology teams
  • Operate independently within complex organisations
  • Deliver pragmatic solutions to real business problems

Opportunity

  • Long-term contract engagement
  • Outside IR35
  • London-based with 2 days onsite per week
  • High-profile transformation programmes
  • Modern cloud, data and AI technologies
  • Work alongside experienced consultants and architects
  • Strong pipeline of future project opportunities

Requirements

We’re supporting a client delivering major data, cloud and AI transformation programmes and are looking to engage a senior consultant with a strong blend of technical expertise, stakeholder management and consulting capability.

This role requires someone who can operate confidently with both senior business stakeholders and technical teams, helping shape solutions, influence decision-making and drive delivery across complex enterprise environments.

We’re specifically looking for consultants with 10+ years of commercial experience, ideally gained across multiple clients, industries and transformation programmes. Essential Skills & Experience

  • 10+ years’ experience in Data Engineering, Data Architecture or Cloud Data Platforms
  • Strong consulting background with proven client-facing delivery experience
  • Excellent communication and stakeholder management skills
  • Comfortable operating at both strategic and hands-on levels
  • Advanced Python development experience
  • Strong SQL and data modelling expertise
  • AWS or Azure cloud platform experience
  • Databricks or Snowflake expertise
  • Experience designing and building modern data platforms
  • Data pipeline, ETL/ELT and large-scale data integration experience
  • Experience delivering within Agile environments
  • Ability to translate business requirements into scalable technical solutions

Highly Desirable

  • Data Architecture experience
  • Lakehouse architecture knowledge
  • Data governance and data strategy exposure
  • Spark and distributed data processing
  • CI/CD and Infrastructure as Code
  • Terraform
  • Kafka
  • MLOps or AI platform experience
  • Experience supporting enterprise-wide modernisation programmes

What We’re Looking For

This is not a role for someone who simply develops solutions from a specification.

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