An SME-sized customer of ours has given us an exclusive mandate to find a Head of Data Engineering to manage their data engineering team and drive the development and implementation of their data strategy. In this position, you’ll work with this a growing company that wants to differentiate itself from the competition by utilising data and building robust technical capabilities. This organisation places a strong emphasis on the development of its employees professionally and provides interesting work to retain their talent. This is a highly unique opportunity to work with a company that aims to use technology to change how its industry interprets data.
Responsibilities:
As the head of data engineering, you’ll be responsible for overseeing the design, development, and maintenance of our data infrastructure, as well as directing the development and implementation of new data initiatives. Additionally, you’ll be responsible for managing hiring, budget control, and supervision of the data engineering team.
-
Spearhead the design, development, and maintenance of our data infrastructure, including data pipelines, data warehouses, and data lakes
-
Develop and implement a comprehensive data strategy that aligns with our business objectives
-
Manage the development and implementation of new data initiatives, such as machine learning and AI applications
-
Work closely with data analysts, data scientists, and other stakeholders to understand their data requirements and translate them into technical solutions
-
Develop and implement best practices for data quality, data security, and data privacy
-
Monitor and troubleshoot data pipelines, data warehouses, and data lakes to ensure high availability and performance
-
Provide guidance and mentorship to other data engineers
-
Manage hiring, budget control, and supervision of the data engineering team
-
Continuously evaluate and adopt new technologies and tools to improve our data infrastructure
Requirements:
-
An impressive academic record, ideally in a STEM or computer science discipline
-
Minimum of 7 years of experience in data engineering or a related field
-
Strong experience in designing and developing data pipelines, data warehouses, and data lakes
-
Expertise in either AWS or Azure cloud infrastructure
-
Strong understanding of data modelling and schema design
-
Excellent analytical and problem-solving skills
-
Strong management and mentorship skills
-
Excellent communication and collaboration skills
Job Owner: p.horlock-brown
