Data Engineer

Nixor are proud to present an opportunity for a Data Engineer to join a growing data and analytics function, supporting the delivery of reliable, scalable, and high-quality data solutions. This role is critical in enabling data-driven decision-making by ensuring data is efficiently ingested, transformed, and made available across the organisation.

The Data Engineer will work closely with the Data Architecture Lead and wider analytics teams to implement agreed architectures and continuously optimise data workflows for performance and reliability.

• Be responsible for building and maintaining data pipelines, ensuring efficient data ingestion, transformation, and delivery.
• Implement the architecture defined by the Data Architecture Lead, aligning with agreed standards, patterns, and best practices.
• Optimise data workflows to improve performance, scalability, and reliability.
• Integrate data from various sources — including internal systems, client data, and third-party data — into the organisation’s central data platform.
• Ingest data from APIs, relational and non-relational databases, and flat files.
• Ensure data quality, consistency, and integrity across all pipelines.
• Monitor and troubleshoot data pipelines, resolving issues proactively.
• Collaborate with analytics, engineering, and product teams to understand data requirements.
• Contribute to documentation and continuous improvement of data engineering processes.

• Proven experience in a Data Engineer or similar role.
• Strong experience designing and building ETL/ELT pipelines.
• Experience working with cloud-based data platforms and data warehouses.
• Proficiency in SQL and at least one programming language commonly used in data engineering (e.g. Python).
• Experience integrating data from APIs, databases, and flat file sources.
• Understanding of data modelling, performance optimisation, and reliability best practices.
• Strong problem‑solving skills and attention to detail.

• Opportunity to work on impactful data platforms and pipelines.
• Clear architectural direction and collaboration with experienced data leaders.
• Supportive environment focused on engineering quality and best practice.
• Competitive salary and benefits package.