Full job description At Whānau Āwhina Plunket,people are at the heart of what we do, our frontline kaimahi impact the lives of whānau from across Aotearoa on a day-to-day basis, providing reassurance and clinical advice in homes, clinics and in community settings. Our Data and Insights team are fortunate to support this mahi by partnering with the organisation to make use of our datasets and achieve our strategic goal of equitable service delivery. We’re now seeking a Data Technical Lead to join the team in this new permanent full time role. While we have a preference for a Wellington or Christchurch based candidate, if you are outside these locations and feel connected to the role, we welcome an application from you. Te Whiwhinga mahi | The opportunity Reporting to the Head of Data and Insights, this is an exciting opportunity to shape our vision and impact the future of the way we work. The Data Technical Lead will champion business-to-data process design with a strong focus on data engineering. This includes the review, analysis and optimisation of data outputs, guiding the team on technical development of the data outputs. The role involves managing the cloud platform administration and maintenance and improvement of reporting processes, alongside mentoring the team to grow their technical skillset. You’ll partner with internal stakeholders to understand what they’re trying to solve and develop fit for purpose solutions. As we expand our data capabilities and embed the Digital, Data and Technology Strategy, this role will also ensure our migration from on-premise to cloud-based runs smoothly. He kōrero mōu | About you We’re seeking someone with a strong mix of technical data skills alongside a willingness to understand our organisational processes and strong communication, relationship and listening skills to be able to find out what exactly our stakeholders need. You will also be/have: At least five years' experience in an enterprise data environment. Proven experience in enterprise data engineering pipelines. Experience of SQL data warehouse technologies (such as SSRS, SSIS, with an added advantage of exposure to DataBricks and Snowflake). Experience working with SSIS, Python, Git and PowerBI An understanding of reporting tools (ideally a good working knowledge of Power BI). Knowledge of data warehouse modelling techniques (dimensional/Kimball modelling, data vault star schema). Experience in the development of Data Warehouses, Data Products, Reports, Dashboards, and data self-service capabilities. Ngā āhuatanga kei a mātou | What we offer If you’re seeking to work for an organisation that values improving society, join us at Whānau Āwhina Plunket. In line with our values, we believe in caring for our people, to support your wellbeing and ongoing professional growth. Work from home and the office Various wellbeing schemes such as a Wellbeing day: use your one of your sick leave days to proactively protect your well being An enhanced parental leave scheme to support growing whānau Retail discounts Me pēhea te tuku tono | How to apply To view the position description or to apply for this role please refer to For any specific questions, please contact View email address on jobs.institutedata.com Applications close: 19 September 2024. Please note, we will consider applications as they are received and may close this advert early if we find a suitable candidate. He huanui oranga mo ngā mokopuna whakatipuranga roto i ngā hapori heke iho, heke iho Setting the path of wellness in our communities for the early years, for generations to come Whānau Āwhina Plunket is committed to supporting the health and wellbeing of pēpi, tamariki and their whānau/family. We have committed to adopting a pro-equity approach where we give life to the Treaty principles of tino rangatiratanga, partnership, active protection, equity and options in our mahi/work to ensure healthy tamariki, confident whānau and connected communities. This journey is creating exciting career opportunities - If you would like to contribute to the important mahi we do, nau mai, haere mai.