Description
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
