Engineering Manager - Data

The candidate will have responsibilities across the following functions:

Leadership:

• Develop and execute the data strategy in alignment with the company's business goals.
• Lead and mentor a team of data engineers, data scientists, and analysts.
• Create a culture of data-driven decision-making; collaborate with senior leadership to influence company strategy and direction through data-driven insights.

Data Engineering:

• Design and implement scalable data pipelines to collect, process, and store data from various sources, especially high-throughput telemetry data from field sensors (IoT) and other multi-modal (text, images, video) data sources.
• Ensure data quality, integrity, and security across all data systems.
• Oversee the development of data architecture and infrastructure to support analytics and data science initiatives.

Data Governance and Management:

• Establish Data quality standards and procedures.
• Implement data governance policies and procedures.
• Develop and maintain data models and reporting systems that are open to business users.

Analytics and Data Science:

• Lead the development of advanced analytics and machine learning models to solve complex business problems.
• Implement MLOps - AI/ML/Gen-AI on top of the data platform.
• Drive the adoption of data-driven decision-making across the organisation.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience within data engineering and analytics in product companies.
• Strong background in designing and implementing data pipelines and architectures especially on AWS stack (S3 iceberg, Redshift, sagemaker, Glue, MSK, RDS, QuickSight).
• Experience with large-scale data technologies, cloud platforms, AI/ML/Gen-AI platforms and data visualisation tools.
• Proficiency in programming languages such as Python, SQL, R, Spark or more and experience with machine learning frameworks and data architecture.
• Hands-on technology leader.
• Excellent leadership and team management skills.
• Strong analytical and problem-solving abilities.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Skills

AWS, Glue, Python, R, Redshift, S3, SQL, SageMaker, Spark, data