Data Engineering Manager
People-leadership role heading Sky's Data Engineering capability in Auckland: manage and grow the data engineering team while acting as technical authority for enterprise data platforms, governance and standards. Core stack includes Snowflake, AWS, dbt, NiFi/OpenFlow, SQL and Python.
- Compensation
- Not disclosed
- Location
- Auckland, New Zealand
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- People leadership experience building inclusive, high-performing data or engineering teams, with coaching and performance/career development experience
- Significant experience delivering and operating enterprise data platforms and data engineering solutions in complex digital/technology environments
- Hands-on expertise with modern data platforms: Snowflake, AWS, dbt, NiFi/OpenFlow or similar ingestion frameworks, advanced SQL and Python
- Strong knowledge of data integration, data modelling, ELT/ETL, platform operations and software engineering practices for data
- Proven experience defining enterprise data governance, engineering standards, frameworks and controls (reliability, observability, cost, CI/CD, testing, operational risk)
- Proven experience leading delivery with external partners and ensuring solutions meet business, technical, security and quality requirements
- Ability to partner with Analytics Engineering, Business Intelligence and Business Partnering teams to align roadmaps
- Excellent stakeholder engagement, communication and influencing skills, with credibility to advise senior leaders
Full description
We are looking for a Data Engineering Manager to lead Sky’s Data Engineering capability and help shape the future of enterprise data solutions. This role combines people leadership with deep subject-matter expertise, setting the direction, governance, standards and frameworks that enable secure, scalable, reliable and well-managed data products and platforms.
As the people leader for Data Engineering, you’ll create the conditions for engineers to thrive, set clear priorities and expectations, and build an inclusive, accountable and high-performing team. You’ll coach and develop capability, support performance and career growth, plan for future skills, and foster consistent engineering practices and strong collaboration.
As Sky’s Data Engineering subject-matter expert, you’ll provide technical authority across enterprise data solutions and translate strategy into pragmatic delivery. You’ll define and embed governance, architecture guardrails, engineering standards, reusable patterns and delivery frameworks across the data lifecycle. Working alongside the Analytics Engineering and Business Intelligence teams, as well as Product, Technology and business stakeholders, you’ll ensure data solutions are interoperable, trusted, secure, cost-effective and aligned to Sky’s enterprise data direction.
Responsibilities
We’re looking for an experienced people leader and credible data engineering practitioner who can grow a strong team, set enterprise direction and lift the maturity of Sky’s data engineering capability. You’ll combine strategic judgement with enough technical depth to guide decisions, challenge constructively and enable effective delivery alongside Analytics Engineering and Business Intelligence.
What you bring to this role:
- People leadership experience building inclusive, high-performing data or engineering teams, with a strong coaching mindset and success leading performance, development, career pathways, talent and succession.
- Significant experience delivering and operating enterprise data platforms and data engineering solutions in complex digital and technology environments.
- Deep subject-matter expertise and hands-on experience with modern data platforms and tooling, including Snowflake, AWS, dbt, NiFi/OpenFlow or similar ingestion frameworks, and advanced SQL and Python, supported by strong knowledge of data integration, data modelling, ELT/ETL, platform operations and software engineering practices for data.
- Proven experience defining and implementing enterprise data governance, engineering standards, frameworks, reusable patterns and controls, including reliability, observability, performance, cost management, CI/CD, testing and operational risk.
- Proven experience leading delivery with external partners, establishing clear accountabilities and ensuring data engineering solutions meet business, technical, security and quality requirements