Data Engineering Manager

About the Company

Smiths Detection is a global leader in threat detection and security screening technology, protecting people and infrastructure across aviation, ports and borders, defence, and urban security. With 21 global offices, seven manufacturing sites, and five R&D centres, we deliver cutting-edge solutions backed by over 40 years of expertise.

About the Role

As Manager – Data Engineering, you will lead a team of data engineers to design, build, and optimize enterprise-scale data platforms. You will own the data lake architecture, oversee ETL/ELT pipelines, and ensure compliance with governance and security standards. This role requires strong technical expertise, leadership skills, and the ability to drive innovation in cloud-based data engineering solutions

Responsibilities

• Lead and mentor a team of data engineers
• Own and maintain data lake architecture and pipelines.
• Design and implement scalable data ingestion, transformation, and integration workflows
• Oversee ETL/ELT processes across enterprise systems (SAP, Salesforce, etc.
• Ensure compliance with data governance, privacy, and security standards
• Collaborate with architects, analysts, and IT to deliver analytics-ready data models
• Drive best practices in CI/CD, automation, and performance optimization
• Manage cloud infrastructure usage and cost optimization
• Oversee data quality frameworks and modernization initiatives
• Enable AI/ML-ready data architecture for advanced analytics
• Support data strategy and roadmap development with the Head of Data & Analytica

Qualifications

Must Have:

• Bachelor's/Master's in Computer Science, Data Engineering, or related field
• 8 plus years of experience in Data Engineering, with 3 years in leadership
• Expertise in one major cloud platform (Azure or GCP)
• Strong skills in SQL, Python, PySpark, and Big Data technologies (Hadoop, Spark)
• Experience in data modelling (Star, Snowflake), metadata management, and ERP systems (SAP).
• Knowledge of Power BI backend structures, governance, and compliance frameworks.
• Proven ability to lead distributed teams and manage budgets.
• Exposure to AI/ML frameworks and cloud-native AI services.

Preferred:

• Certifications (Azure DP‑203 / GCP Professional Data Engineer).
• Experience in large-scale, global data environments.
• Familiarity with streaming tools (Kafka, Event Hubs).
• Prior experience in manufacturing or engineering organizations.

Join us and work for a world-leader, with the benefits and training to reward your dedication and skills. Be part of a team where we are making the world a safer place.