Senior Data Engineer

at  Bupa

ABOUT YOU

You will need to hold at least 8+ years of experience in data engineering, with a focus on building and maintaining large-scale data infrastructures through which you will be able to demonstrate:

• Excellent collaboration and communication skills.
• Proven experience in leading data engineering efforts and delivering complex data projects.
• Strong understanding of data warehousing concepts, data architecture, and SQL.
• Experience with data pipeline development, ETL processes, and data integration techniques.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud-based data platforms, preferably Azure.
• Experience with cloud-based data platforms, preferably Snowflake, DBT, and Azure.
• Expertise in data modelling, data governance, and data quality.
• Certification in data engineering or a related field preferred.
• Familiarity with Power BI (or similar business intelligence tools) for data visualization and reporting.

HAVE YOU EVER WANTED A CAREER WITH PURPOSE?

Every day, in every way, we bring real heart to work. It’s what drives us to deliver our refreshingly different commitment to supporting the people who make a real difference in enriching the lives of our society’s most vulnerable. In New Zealand, we are making a difference through our 40 care homes and 35 retirement villages. You’ll be part of an inclusive culture where you can make a difference while growing your career. It’s a big call. But imagine the impact you could make.

ABOUT THE ROLE

This is an 18-month fixed term opportunity for an experienced Senior Data Engineer to lead and own the design and development data infrastructure to support business intelligence and analytics capabilities across Bupa New Zealand. This role can be based in Auckland or Wellington with some travel involved.
Working collaboratively with various teams including Data Operations, Finance and Clinical, as subject matter expert, you will be heavily involved in providing technical guidance, vision and oversight for data engineering.