Senior Data Engineer
other jobs Harnham - Data & Analytics Recruitment
Added before 7 Days
- England,London,City of London
- Full Time, Permanent
- £70,000 - £80,000 per annum
Job Description:
Full job descriptionSENIOR DATA ENGINEER
£70,000 - £80,000
LONDON
This is an opportunity to join a growing technology business at the forefront of data, analytics, and AI innovation. As a Senior Data Engineer, you will play a key role in building scalable data platforms, enabling advanced AI capabilities, and helping shape engineering best practices within a collaborative, product-focused environment.
THE COMPANY
Our client is an established SaaS organisation developing data and AI-driven products that help businesses unlock greater value from their data. Combining expertise in data engineering, analytics, and machine learning to deliver scalable solutions across a range of industries. This is an opportunity to work within a collaborative, lean engineering team where you’ll have real ownership, help shape technical direction, and play a key role in building innovative AI-powered products that deliver value from complex data.
THE ROLE
Responsibilities include but are not limited to:
*Design, build and optimise scalable ETL/ELT pipelines across cloud-based data platforms
*Contribute to data architecture, schema design and data modelling best practices
*Support CI/CD processes, deployment automation and version-controlled development
*Integrate AI and machine learning capabilities into production
*Support the adoption of DataOps best practices
*Mentor junior engineers and help develop engineering capability across the team
*Work across a variety of cloud technologies, data platforms and modern engineering tools
YOUR SKILLS AND EXPERIENCE:
*At least 3 years prior experience in Data Engineering, Data Platform Engineering or a similar role
*Strong SQL and Python skills
*Experience designing and developing scalable ETL/ELT pipelines
*Strong understanding of data modelling
*Experience working within cloud platforms such as Azure, AWS and/or GCP
*Knowledge of Git, CI/CD pipelines and DevOps practices
*Strong stakeholder communication skills with experience working across technical and non-technical teams
SALARY AND BENEFITS
*£70,000 - £80,000 base salary
*Private Medical
*25 days Holiday
*Pension Scheme
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ’Apply’ link
£70,000 - £80,000
LONDON
This is an opportunity to join a growing technology business at the forefront of data, analytics, and AI innovation. As a Senior Data Engineer, you will play a key role in building scalable data platforms, enabling advanced AI capabilities, and helping shape engineering best practices within a collaborative, product-focused environment.
THE COMPANY
Our client is an established SaaS organisation developing data and AI-driven products that help businesses unlock greater value from their data. Combining expertise in data engineering, analytics, and machine learning to deliver scalable solutions across a range of industries. This is an opportunity to work within a collaborative, lean engineering team where you’ll have real ownership, help shape technical direction, and play a key role in building innovative AI-powered products that deliver value from complex data.
THE ROLE
Responsibilities include but are not limited to:
*Design, build and optimise scalable ETL/ELT pipelines across cloud-based data platforms
*Contribute to data architecture, schema design and data modelling best practices
*Support CI/CD processes, deployment automation and version-controlled development
*Integrate AI and machine learning capabilities into production
*Support the adoption of DataOps best practices
*Mentor junior engineers and help develop engineering capability across the team
*Work across a variety of cloud technologies, data platforms and modern engineering tools
YOUR SKILLS AND EXPERIENCE:
*At least 3 years prior experience in Data Engineering, Data Platform Engineering or a similar role
*Strong SQL and Python skills
*Experience designing and developing scalable ETL/ELT pipelines
*Strong understanding of data modelling
*Experience working within cloud platforms such as Azure, AWS and/or GCP
*Knowledge of Git, CI/CD pipelines and DevOps practices
*Strong stakeholder communication skills with experience working across technical and non-technical teams
SALARY AND BENEFITS
*£70,000 - £80,000 base salary
*Private Medical
*25 days Holiday
*Pension Scheme
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ’Apply’ link
Job number 4209631
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