Senior Data Engineer

Harnham; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Collaborative culture

Clear progression opportunities

Job summary

Harnham is seeking a Senior Data Engineer to design and deliver data foundations powering analytics and AI solutions. You will work on modern cloud technologies and enterprise-scale data challenges, shaping scalable ETL/ELT pipelines and robust data models.

You will collaborate with Product, Engineering and Data Science teams, mentoring peers and implementing best practices to ensure reliable, scalable data platforms across Azure, AWS and GCP environments.

Qualifications

• Experience designing scalable ETL/ELT pipelines.
• Strong modelling for analytics and AI workloads.
• Cloud-native data solutions and data platforms.
• Exposure to CI/CD pipelines and DevOps practices.
• Knowledge of DataOps and engineering best practices.
• Excellent problem-solving and stakeholder engagement.

Responsibilities

• Design and develop scalable ETL/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 outputs into production environments.
• Implement monitoring, governance, and operational best practices.
• Collaborate with Product, Engineering, and Data Science teams.
• Mentor colleagues and contribute to engineering standards.

Skills

SQL

Python

Dimensional modelling

Data warehousing

CI/CD / DevOps

DataOps

Stakeholder engagement

Problem solving

Tools

Azure

AWS

GCP

Job description

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

• Advanced SQL and Python skills
• 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
• Collaborative engineering culture
• Clear progression opportunities within a growing business