Data Engineering Manager

The job overview for the Data Engineering Manager role is that the candidate will be responsible for managing a team of Data Engineers and ensuring the delivery of high-quality data solutions. They will work closely with Product Managers and Technical Leads to improve processes and establish standards within the data team. The role will involve a balance between people and process management, as well as technical work. The candidate will also play a key role in formulating and implementing a data engineering strategy and roadmap, and will be responsible for fostering a culture of continuous learning and improvement within the team.

• Manage a team of Data Engineers, including mentoring, coaching, and guiding them towards success.
• Bring the team to a higher level of technical and business maturity by establishing best practices and encouraging collaboration.
• Own the execution of the data engineering strategy and roadmap, in collaboration with the Head of Data and other people managers within the Data team.
• Liaise with Data Product Managers, Analytics Engineers, Data Analysts, and Data Scientists to build the best solutions for the company.
• Actively reach out to other business units to encourage adoption of best practices in data engineering.
• Have a proven track record of managing a technical data team, preferably a small team of Data Engineers.
• Demonstrate experience in people management and process management.
• Possess knowledge in data engineering best practices and successful implementation.
• Support the formulation and implementation of data strategy and roadmap.
• Have experience with data and systems architecture, data engineering, and quality in cloud environments.
• Own end-to-end project management from conception to delivery.
• Have knowledge of Python, AWS, ETL (preferably dbt), BI tools (preferably Looker), and data quality frameworks. Previous experience with Great Expectations is a plus.
• Have knowledge of Agile methodologies, DevOps, CI/CD, Docker/Kubernetes, and infrastructure-as-Code. Knowledge of Terraform is a plus.

• Proven track record (1-3 years) of managing a technical data team, preferably a small team of Data Engineers
• Demonstrable experience in people management and process management
• Knowledge in data engineering best practices and evidence of successful implementation
• Experience in supporting the formulation and implementation of data strategy and roadmap
• Experience with data and systems architecture, data engineering and quality in cloud environments
• Experience in owning an end-to-end project from conception to delivery
• Knowledge of Python, AWS, ETL (dbt preferable), BI tools (Looker preferable) and data quality frameworks. Previous experience with Great Expectations is a plus
• Knowledge of Agile methodologies, DevOps, CI/CD, Docker/Kubernetes and infrastructure-as-Code. Knowledge of Terraform is a plus

• Unlimited paid holiday
• Monthly DICE credits
• Private health insurance with Vitality with tons of perks
• Workplace pension with Penfold
• Coaching and CBT sessions
• Classpass
• Generous parental package
• Dedicated leave for employees journeying through fertility, surrogacy, and adoption support
• Hybrid work policy with three days in the office and two days from anywhere