Data Engineer

Data Engineer

Role Type: Temporary contract

Contract Length: 6 months initially

Pay Rate: up to 400- 500 per day (inside IR35), depending on experience

Location: London (Hybrid)

The Role

We're looking for a Data Engineer to design, build and maintain a modern cloud-based data platform that supports scalable data products across the business.

You'll work closely with Product Managers, Solution Architects, Data Architects and other engineers to develop reliable data pipelines, improve data quality and create infrastructure that enables analytics, machine learning and future AI initiatives.

This is an opportunity to join a business investing heavily in its data capabilities while working on products that have a genuine real-world impact.

Key Responsibilities

Data Engineering

• Design and build batch and real-time data pipelines from internal and external data sources.
• Develop and maintain cloud-native data lake and data warehouse solutions.
• Ensure data platforms remain scalable, reliable and cost-effective.

Data Quality & Governance

• Implement automated data quality checks and monitoring.
• Support data governance, metadata management, lineage and access controls.
• Build security, privacy and compliance into data solutions from the outset.

Analytics & Machine Learning

• Optimise datasets for analytics, reporting and machine learning.
• Work closely with Data Scientists and ML Engineers to support new products and models.
• Enable self-service access to trusted data across the organisation.

Continuous Improvement

• Improve the performance, scalability and reliability of existing data pipelines.
• Introduce modern tooling, best practices and automation.
• Contribute to the long-term data platform roadmap and AI strategy.

What We're Looking For

Essential

• 5+ years' experience in Data Engineering or a similar role.
• Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP)
• Experience designing and operating production-scale data platforms.

Desirable

• Experience working with AWS.
• Experience supporting machine learning or AI platforms.
• Knowledge of data governance, metadata management and data lineage.
• Experience building modern cloud data lake or warehouse architectures.

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline.
• Master's degree in Big Data, Artificial Intelligence or a similar field is advantageous.
• Certifications such as PMP, PMI-ACP, SAFe or Certified ScrumMaster are beneficial.

Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.

Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.

Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.