Design, develop, test, and maintain data solutions, applications, and data pipelines.
Participate in Agile ceremonies, backlog grooming, sprint planning, and prioritisation activities.
Contribute to the design, implementation, and maintenance of scalable, secure, compliant, and reliable data architectures.
Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver data-driven solutions.
Monitor data platform performance and implement improvements to optimise efficiency and reduce latency.
Actively ensure data quality, reliability, and operational excellence across data systems.
Evaluate and support the adoption of new data technologies, tools, and architectural approaches.
Help shape and execute the vision for Business Intelligence and Data Warehousing across the organisation.
Build cross-functional relationships with Data Scientists, Product Managers, Software Engineers, and business stakeholders to understand and meet data needs.
Promote best practices in data engineering and foster a culture of continuous improvement.
Participate in strategic planning for data initiatives, helping define objectives and execution roadmaps.
Communicate complex technical concepts and project progress to both technical and non-technical audiences.
Mentor and support team members where appropriate.
Foster a collaborative team culture built on transparency, accountability, and growth.

Commercial experience with Python
Strong SQL skills (any major SQL dialect)
Experience using Git for source control and version management
Experience working within Agile/Scrum environments
Hands-on experience with AWS services
Understanding of AWS security best practices for data-related products
Experience containerising applications using Docker
Experience developing and maintaining data pipelines
Understanding of data quality, data governance, and data engineering best practices
Good understanding of the software development lifecycle (SDLC)
Strong analytical and problem-solving skills
Excellent communication and stakeholder management skills

Data Engineer

Key skills