Join an organisation contributing to meaningful outcomes, About Aotearoa, for Aotearoa - data that improves lives today and for generations to come.
Technical leadership role in a fun, tightknit and collaborative team
Provide expert development and consultancy services to business
Where attitude is as critical as technical ability
Work flexibly - including family-friendly hours
Tatauranga Aotearoa Stats NZ are dedicated to diversity, equity, inclusion, health, and wellbeing. We welcome every gender, ethnicity, ability, religion, age, and background and encourage all our people to be their authentic selves.
Other benefits of joining our Stats whanau include:
Develop and grow your career (coaching, training, study support, secondments)
An environment where we can all be leaders, where your ideas and input are encouraged
Contribute to meaningful work that makes a difference to all people in Aotearoa
3 extra annual leave days (taken during Christmas office closure)
City based offices that cater to a variety of working styles
Te tunga | The role
This role is fixed term based in Christchurch. This role is a key part of the Processing Service Line in Technology Services to begin our journey of the modern data platform (Databricks).
Reporting to a Technology Delivery Manager you will work collaboratively with business stakeholders, notably product owners and other technical subject matter specialists, to help with the development and enhancement of our data services using advanced data processing tools and platforms, including Databricks and data warehousing solutions.
You will work closely with multi-disciplinary technology teams to help deliver the solutions that are consistent with the Stats NZ ICT architecture guidance.
This role would suit someone who can show:
3-5 years of experience as a Data Engineer with proven expertise in data engineering patterns including ingestion, processing, quality and storage.
Recent expertise in Databricks Lakehouse Platform including Delta Lake, Notebooks, SQL/PySQL, Python/PySpark, Unity Catalog and pipeline orchestration.
Proficient in ETL/ELT pipeline design, data modelling, and data partitioning optimisation against a Medallion architecture.
Proficient in Python, PySpark, and SQL for building and optimizing data pipelines.
Skilled in orchestration (Databricks Workflows), pipeline monitoring and optimizing Spark jobs/Databricks clusters.
Experience in working with Data Warehousing solutions (Azure SQL DB, Redshift, Snowflake, BigQuery, Azure Synapse).
Skilled in BI Tools (Tableau, Power BI).
Skilled in CI/CD (Azure DevOps, GitLab, Github).
Experienced in Agile, cross-team collaboration, documentation.
Me pehea te tuku tono | How to apply
If this sounds like you, click on the Apply now button to be redirect to the application page on our careers site. The position description is located on the right-hand side of the page.
We will be screening applications as we receive them to move swiftly to interview shortly after the advert closes. You may be asked to complete a pre-interview screen via phone or video. Please let us know in your application if we need to make any specific accommodations during our process.
You must have the right to live and work in Aotearoa New Zealand. Background and various pre-employment checks are part of our recruitment process.
Note to Recruitment Agencies: unsolicited CVs will not be accepted.
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