Data Engineering Manager

NewDay

London, United Kingdom

4 months ago

Applications closed

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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

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

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