Senior Data Engineer - #2160760

Harnham - Data & Analytics Recruitment


Date: 1 hour ago
City: London
Salary: £70,000 - £80,000 / year
Contract type: Full time
Work schedule: Full day
Harnham - Data & Analytics Recruitment

Senior Data Engineer

London | Hybrid (4 days a week) | £70,000 - £80,000

This is an excellent opportunity for a Senior Data Engineer looking to work on modern cloud technologies, AI-enabled products, and enterprise-scale data challenges. You'll play a key role in designing and delivering the data foundations that power innovative analytics and AI solutions.

The Company

They are an established AI-powered SaaS business at the forefront of data and AI innovation. Their platform helps organisations transform complex datasets into actionable intelligence, supporting better decision-making and stronger business outcomes. Continued growth and investment mean they are expanding their engineering team to support an exciting product roadmap.

The Role

  • Design and develop scalable ETL and ELT pipelines
  • Build and optimise data models supporting analytics and AI workloads
  • Develop and maintain cloud-native data solutions
  • Support CI/CD implementation and deployment processes
  • Integrate AI and machine learning outputs into production environments
  • Implement monitoring, governance, and operational best practices
  • Collaborate closely with Product, Engineering, and Data Science teams
  • Mentor colleagues and contribute to engineering standards

Your Skills & Experience

  • Strong commercial Data Engineering experience
  • Advanced SQL and Python skills
  • Experience designing modern cloud data architectures
  • Strong understanding of dimensional modelling and data warehousing
  • Exposure to Azure, AWS, and GCP environments
  • Familiarity with CI/CD pipelines and DevOps practices
  • Knowledge of DataOps and engineering best practices
  • Strong problem-solving and stakeholder engagement skills

What They Offer

  • Competitive salary and benefits package
  • Opportunity to work on innovative AI-enabled products
  • Exposure to enterprise-scale data challenges
  • Collaborative engineering culture
  • Professional development support
  • Clear progression opportunities within a growing business

How to Apply

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