Senior Data Engineer

In this role you will:
• Work alongside a team of data engineers in the design, development, and maintenance of data management solutions, including data modeling, ETL processes, and data pipelines.
• Develop and implement data quality checks and monitoring processes to ensure data accuracy and integrity.
• Design and build infrastructure.
• Design and develop reports, dashboards, and visualisations to provide insights into business performance.
• Proactively identify and resolve technical issues, including data anomalies, performance bottlenecks, and data quality problems.
• Drive technical governance initiatives, including documentation, data lineage, and data access control.
• Participate in architecture discussions.
• Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of the team.
• Work with a collaborative global team of varied disciplines, skills, and experience.

To be successful in this role, you should meet the following requirements:
• Sheffield office attendance is mandatory, either 2 days per week, or 8 days per month.
• Experience with working with Cloud Computing (Google Cloud Platform preferable).
• Strong SQL skills and proficiency in at least one programme language e.g. Python.
• Experience with data processing framework Apache Flink.
• Experience with workflow management tool Apache Airflow.
• Excellent communication and collaboration skills, with the ability to effectively interact with both technical and non-technical stakeholders.
• Strong problem-solving skills and a proactive approach to identifying and resolving issues.
• Experience with agile development methodologies.
• Positive, proactive, and can-do attitude.