Data Engineer

Data engineering roles could be central to building reliable, scalable data infrastructure that powers decision-making across the organisation. A typical focus could be designing and maintaining data pipelines, ensuring data quality, and enabling seamless integration across systems and teams., This is an opportunity to register your interest in future Data Engineer positions in Leeds, West Yorkshire. Roles of this type typically sit within technical teams focused on data infrastructure, working to support organisations that depend on clean, well-structured data to operate effectively. The work could involve designing data pipelines, managing data quality, collaborating with stakeholders to understand data requirements, and ensuring systems integrate smoothly across distributed environments., * Designing and developing robust data pipelines to ingest, process and transform data from multiple sources

• Maintaining data quality standards, performing quality analysis and working to identify and resolve data inconsistencies
• Collaborating with stakeholders to gather data requirements and align pipeline design with business needs
• Working with cloud platforms and containerised environments to build scalable infrastructure
• Supporting integration of data systems across distributed architectures
• Contributing to CI/CD practices and infrastructure-as-code approaches
• Documenting systems, processes and data lineage for team clarity, Most roles of this type offer the following, dependent on the industry and seniority of the role:
• The opportunity to build and maintain critical data infrastructure that supports organisational decisions
• Exposure to modern cloud technologies, containerisation and distributed systems
• Collaboration across technical and business teams to shape data strategy
• Clear scope to develop expertise in data engineering practices and emerging tools
• Contract-based flexibility with a competitive daily rate (£500-650 per day)
• The chance to work on complex data challenges in a growing field

• Demonstrable experience in data pipeline development and data infrastructure engineering
• Proficiency in SQL and at least one programming language (Python, Java or similar)
• Working knowledge of cloud platforms (Azure, AWS or GCP) and containerisation (Docker, Kubernetes)
• Experience with data quality analysis and ensuring pipeline reliability
• Familiarity with CI/CD practices and version control
• Ability to gather and translate data requirements from technical and non-technical stakeholders
• Bachelor’s degree in Computer Science or related field

Nice-to-have

• Master’s degree or relevant data engineering certifications (such as Google Cloud Data Engineer)
• Experience with SAP environments (S/4HANA, ECC or RISE)
• Knowledge of microservices architectures and distributed systems design
• Exposure to infrastructure-as-code tools (Terraform) and configuration management
• Experience with Linux, Bash and Windows environments

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