Data Engineer
Job Description
Our client is a growing, data-driven organisation that has experienced significant expansion over recent years and is continuing to invest heavily in its technology and data capabilities.
\nWith a wealth of data available across multiple business systems, they are looking to appoint a Data Engineer to support the development of their data platform and help drive a more data-led approach across the organisation.
\nThis is an excellent opportunity for someone who has a solid foundation in data engineering and is looking to further develop their skills within a supportive environment that actively invests in training, professional development and career progression.
\nWorking closely with the Lead Engineer, the Data Engineer will play a key role in developing the organisation's data warehouse, enhancing data integration capabilities, and ensuring data is accessible, reliable and capable of delivering real business value.
Key Responsibilities\n- \n
- Design, build and maintain scalable data pipelines and data processing solutions. \n
- Develop and support data warehouse architectures and ETL processes. \n
- Create robust integrations and APIs between business systems and data platforms. \n
- Transform, cleanse and optimise data to support analytics and reporting requirements. \n
- Collaborate with analysts, engineers and stakeholders to deliver high-quality data solutions. \n
- Monitor and improve data performance, reliability and automation. \n
- Support data governance, security and compliance best practices. \n
- Diagnose and resolve data-related issues to ensure platform stability. \n
- Maintain detailed documentation for data architecture, processes and standards. \n
- Keep up to date with emerging technologies and best practice within data engineering. \n
We are keen to hear from individuals who can demonstrate:
\n- \n
- Previous experience in a Data Engineer or similar data-focused role. \n
- Strong SQL skills and experience with Python. \n
- Experience building and maintaining ETL pipelines and data warehouse solutions. \n
- Knowledge of APIs and system integrations. \n
- Exposure to cloud technologies such as Azure, AWS or GCP. \n
- Strong analytical and problem-solving abilities. \n
- Excellent communication and stakeholder engagement skills. \n
- A proactive, inquisitive approach and a genuine passion for data. \n
Desirable:
\n- \n
- Experience maintaining and supporting APIs across multiple applications. \n
- Exposure to modern analytics and reporting platforms. \n
