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Our industry specialists will listen to your aspirations and share your story with New Zealand’s most prestigious organisations. Together, let’s write the next chapter of your career.

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Contact Us

Truly global and proudly local, we’ve been serving New Zealand for over 25 years with offices in Auckland, Christchurch and Wellington.

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Data Engineer

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Our client is seeking a dedicated and experienced Data Engineer to join their team. This role offers the opportunity to contribute to a company that believes in inspiring dreams and making a positive impact on communities across Aotearoa. The successful candidate will be part of a team that ensures Kiwis can play in a way that's healthy and fun, with all profits returned back into the community. The role involves building, supporting, and optimising data systems and processes for data collection, storage, and analysis across the company. You'll work under the Data Engineering Lead, collaborating closely with IT and other business units to meet our data needs for insights and analytics, supporting decision-making and business strategy.

What you'll do:

As a Data Engineer, you will play an integral role in building, supporting, and optimising our client's data systems. Your day-to-day responsibilities will involve developing the data platform, managing data quality, building data pipelines, delivering insights, creating clear presentations for various audiences, implementing the company's data governance framework, staying updated on industry trends, seeking new data sources, and engaging with third-party vendors. This role requires strong collaboration skills as you will be working closely with IT and other business units.

  • Develop and maintain the data platform, ensuring efficient data collection and transformation processes
  • Manage data quality, identifying and resolving issues in collaboration with data owners and stewards
  • Build data pipelines, deliver ad-hoc insights, and analytics to support strategic initiatives
  • Make data accessible and understandable to various audiences, using visualisations and clear presentations
  • Implement and adhere to the company's data governance framework and quality practices
  • Stay updated on industry trends, seek new data sources, and engage with third-party vendors as needed

What you bring:

The ideal candidate for this Data Engineer role will bring at least five years of experience in a similar role along with a tertiary qualification in computer science or a numeric discipline. Key skills include experience in building data pipelines, proficiency in Databricks, Azure Data Factory, and Power BI, strong SQL and Python skills. A positive attitude and the ability to work well within a team are also essential for success in this role.

  • At least 5 years’ experience as a Data Engineer
  • Experience building data pipelines
  • Experience in data modelling
  • Proficiency with Databricks
  • Proficiency with Azure Data Factory
  • Proficiency with Power BI
  • Strong SQL skills
  • Strong Python skills
  • Positive attitude
  • Ability to work well within a team


What sets this company apart:

Our client is committed to creating an inclusive and diverse workforce where everyone feels seen, heard, and understood. They believe that when everyone's in, everyone wins. They offer a range of benefits including insurances, flexibility for work-life balance, an annual wellness benefit, extra paid leave for special days, personalised development opportunities including access to LinkedIn Learning, a recruitment referral bonus, modern office facilities with a barista coffee machine, health and wellness benefits such as free flu jabs, access to EAP and onsite gym, parental leave return to work lump sum payments, and the opportunity to join any of their Inclusion, Diversity, Equity and Wellbeing networks.

What's next:

Ready to make a difference? Apply now!

Apply today by clicking on the link. Don't worry if you think you don't tick all the boxes – if you have passion and interest, we would love to hear from you.

Contract Type: FULL_TIME

Specialism: Information Technology

Focus: Data Analysis / Business intelligence

Industry: IT

Salary: Competitive Package based on experience

Workplace Type: No

Location: Auckland

Job Reference: 1964700/001

Date posted: 17 April 2024

Consultant: Sophie Holubicka

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