Data Engineer

Data engineering roles in this area could focus on designing and maintaining scalable data infrastructure to support analytics and business intelligence initiatives. A central theme could be building robust pipelines and ensuring data quality across distributed systems., Roles of this type may sit within collaborative technical teams where you could take responsibility for designing data pipelines, ensuring data quality and working alongside stakeholders to understand data requirements. The work could involve building and maintaining systems on cloud platforms, optimising data flow and contributing to decisions about data architecture and tooling., * Designing and building data pipelines to move data reliably across systems

• Taking responsibility for data quality, validation and pipeline performance
• Working with stakeholders to understand data requirements and translate them into technical solutions
• Collaborating with analytics and business intelligence teams on data alignment
• Maintaining and optimising existing data infrastructure
• Contributing to technical decisions around data platforms, tools and architecture
• Supporting deployment and monitoring of data systems, Most roles of this type offer the following, dependent on the industry and seniority of the role:
• Hands-on technical work building systems that underpin business analytics and decision-making
• Exposure to modern cloud platforms and data infrastructure technologies
• Opportunities to improve data quality and reliability across organisations
• Collaboration with cross-functional teams including data analysts, business stakeholders and engineers
• Potential to develop expertise in data architecture and system design
• Contract-based flexibility with competitive daily rates

• Experience designing and building data pipelines, ideally in cloud environments such as Azure, AWS or GCP
• Working knowledge of SQL and at least one programming language such as Python, Java or similar
• Experience with data quality analysis and ensuring data integrity across systems
• Familiarity with containerisation and orchestration tools such as Docker and Kubernetes, or equivalent infrastructure technologies
• Understanding of CI/CD practices and version control
• Ability to gather data requirements and engage with technical and non-technical stakeholders
• Bachelor’s degree in Computer Science or related field

Nice-to-have experience could include:

• Master’s degree
• Google Cloud Data Engineer certification
• Exposure to microservices architecture and distributed systems
• Familiarity with tools such as Terraform, Bash scripting or configuration management
• Experience with enterprise data platforms or SAP environments

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