Data Engineering Manager

What you will be doing

• Support Head of Data Engineering and contribute to establish / enforce best practices, coding standards, and development methodologies for the data engineering team. Drive continuous improvement in data engineering processes to enhance efficiency, reliability and scalability.
• Manage a team of skilled data engineers, providing guidance, mentorship, and support to ensure the team's success in delivering high-quality solutions.
• Contribute to defining and executing the data engineering roadmap, collaborating with other technical and business leaders to align data initiatives with overall business goals.
• Possess and maintain a deep understanding of the technical stack, including Scala, Python, SQL, Snowflake, and DBT. Provide technical guidance and expertise to the team when facing complex challenges.
• Collaborate with data architects and analysts to design and optimise data models, pipelines, and workflows that support data transformation, integration, and analysis.
• Ensure data accuracy, consistency, and reliability throughout the data pipelines. Implement monitoring, alerting, and quality control mechanisms to identify and address issues proactively.
• Work closely with business teams, analysts and data science to understand their requirements and provide timely data solutions that support their objectives.
• Plan, prioritise, and oversee multiple data engineering projects simultaneously, ensuring on-time delivery and high-quality outcomes.

Your Skills and Experience

We need knowledge, experience + expertise in:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience (9+ years) in data engineering with a focus on building scalable data pipelines, data integration, and data transformation.
• Demonstrated experience (3+ years) in managing and leading data engineering teams.
• Strong proficiency in Scala, Python, SQL, Snowflake and DBT.
• In-depth understanding of data modelling, ETL processes, and data warehousing concepts.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.
• Excellent problem-solving skills and a track record of delivering innovative and practical data solutions.
• Strong communication skills with the ability to collaborate effectively across technical and non-technical teams.
• Detail-oriented mindset with a focus on data accuracy and quality

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