What We’re Looking For:
We’re looking for an experienced and curious data professional who combines strong technical expertise with a practical, people-focused approach. You’ll be comfortable taking ownership, making sound technical decisions and bringing others with you; whether you’re mentoring colleagues, partnering with stakeholders or turning a complex business challenge into a scalable solution.
You don’t need to tick every box. We’re interested in people who can bring the right mix of experience, technical capability and ambition to help us continue developing our data and innovation capability.
What you’ll bring
- Strong hands-on experience in data engineering, analytics engineering or data platform roles, typically gained over 5+ years, with experience operating at a senior or leadership level.
- Advanced SQL and Python skills and experience using them to build reliable, production-ready data solutions.
- Strong experience with cloud data warehouses, ideally BigQuery, and a good working knowledge of the wider Google Cloud Platform (GCP) ecosystem.
- Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling.
- A solid understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring, with a focus on building solutions that are scalable and maintainable.
- Experience designing and operating production-grade data pipelines, integrating data from sources such as APIs, databases, flat files, webhooks and message queues.
- A strong appreciation of data security and governance, including GDPR, role-based access, secrets management and the responsible handling of sensitive information.
- The ability to take an ambiguous business challenge and turn it into a clear, pragmatic technical solution, balancing immediate needs with longer-term value.
- Strong communication and stakeholder skills, with the confidence to make complex technical concepts accessible to non-technical audiences and influence decisions at different levels.
- A collaborative leadership style, with a genuine interest in coaching others, sharing knowledge and raising engineering standards across the team.
Qualifications & experience
A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience and demonstrable expertise are just as important to us.
Experience within professional services, finance, accounting, legal, tax, audit or another regulated environment would be an advantage, but it isn’t essential.
Above all, we’re looking for someone who brings ownership, sound judgement and a delivery mindset. You’ll enjoy solving problems, challenging how things are done and finding better ways of working, while maintaining a strong focus on quality, security and risk.
The role may involve occasional travel to other Menzies offices for workshops, discovery sessions, implementation support and team meetings.