Data Engineer Manager 2

We are seeking an experienced Data Engineer Manager 2 to lead a team of data engineers in designing, building, and maintaining scalable data pipelines and infrastructure. As a key member of our organisation, you will collaborate with business stakeholders, IT partners, and analysts to implement data engineering solutions that support analytics and reporting needs.

Key Responsibilities:

• Leads data engineering teams in developing, testing, and deploying robust data pipelines, integrations, and platforms to support enterprise analytics and reporting needs.
• Translates data strategy and architecture guidance into actionable engineering initiatives and project deliverables.
• Collaborates with data architects, analysts, and business partners to design and implement scalable, secure, and high-performance data solutions.
• Ensures adherence to data governance, privacy, and compliance standards in all data engineering activities.
• Oversees performance optimization, reliability, and maintenance of data systems and platforms.
• Guides team members in adopting best practices in data modeling, ETL development, and cloud data services.
• Monitors system capabilities, identifies improvement opportunities, and implements upgrades and enhancements.
• Develops and mentors data engineers to build technical proficiency and career growth within the team.
• Provides technical expertise and problem-solving support for complex data issues within ongoing projects.
• Supports operational and business decision-making by ensuring timely and accurate data availability across key systems.
• Responsible for team financial management including annual operating plan (AOP), budget management, and forecasting to ensure alignment with organisational goals.

Competencies:

• Security & Compliance Principles
• Programming Principles
• Data Principles
• Modern Development Practices
• Solution Design
• Demonstrating Mastery
• Strategic and Innovative Thinking
• Technical Passion & Drive
• Driving Effective Outcomes
• Engaging with Impact
• Values Differences
• Ensuring Customer Success
• Manages People & Teams
• Directs Work

Requirements:

• College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
• Experience analyzing business systems, data flows, and requirements to design and implement effective data solutions.
• Solid background in managing and transforming large data sets using scalable processing frameworks.
• Hands-on development experience with modern data tools and frameworks such as Java, Python, Spark, Hive, Kafka, SQL, and related open-source or cloud-native technologies.
• Experience implementing and supporting data pipelines on cloud or distributed compute environments.
• Familiarity with tools and methods for large-scale data movement and integration from diverse sources.
• Proven ability to build and optimize data models, warehouses, and analytical solutions supporting business insight.
• Strong understanding of database systems, performance optimization, and data management principles.
• Exposure to IoT or streaming data systems is a plus.
• Experience working in Agile or iterative software engineering environments.
• Experience with continuous improvement across cost optimization, performance tuning and scalability of Data Engineering pipelines.
• Experience with enabling self-service data engineering pipeline implementation capabilities for end-users.
• Experience with using Co-pilot/AI capabilities to improve the productivity of Data Engineering pipeline.