Senior Data Engineer

Harnham - Data & Analytics Recruitment; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Professional development support

Clear progression opportunities

Collaborative engineering culture

Job summary

Harnham - Data & Analytics Recruitment in London is seeking a Senior Data Engineer to design and deliver data foundations powering analytics and AI solutions. The role is hybrid with four days a week in London and a competitive £70,000-£80,000 salary.

You will work with cloud technologies across Azure, AWS, and GCP, build scalable pipelines, mentor peers, and collaborate with Product, Engineering, and Data Science teams.

Qualifications

• Experience delivering data pipelines for analytics/AI workloads.
• Strong SQL and Python capabilities.
• Familiarity with cloud-native data architectures and tooling.
• Knowledge of data warehousing concepts and dimensional modelling.

Responsibilities

• 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.

Skills

Advanced SQL

Python

Cloud architecture

Dimensional modelling

Cloud providers

CI/CD DevOps

DataOps

Stakeholder mgmt

Job description

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

Submit your CV to learn more about this Senior Data Engineer opportunity.