[ref. z24370924] Data Engineer - Intermediate

placeAuckland calendar_month 
At Trade Me, we're about connecting Kiwi to create the life they want. Whether it's the big things like finding a home, a job, a car or growing their business, or the smaller things, like finding that right bedside table or parting ways with some old stuff.

At Trade Me our vision is to be the place where Kiwi look first.

The way we architect, transport and transform our data at Trade Me is critical to understand our customers and for the development of amazing data-driven services and experiences for millions of Kiwis. You will follow good development practices and be expected to participate in opportunities for growth and development - through training, mentoring, and asking questions of those around you.

You'll look at the wider picture and take interest in your squad work, the work around you, and how these fit into Trade Me as a whole.

**Here is what you can expect from this role:**
  • Get involved in discussions and initiatives to improve Trade Me's data platforms.
  • Work with data-aligned experts across Trade Me to strive for greater functionality in our data systems.
  • Contribute to selecting, designing, building, testing and operating the technical systems that transport and transform Trade Me's data
  • Help implement and operate scalable data pipelines and systems
**What you will bring to our team:**
  • Tertiary qualification with a degree in Computer Science or a related field (or equivalent experience)
  • At least 3 years' experience in a similar digital sector
  • Experience working in an application or product environment that requires good communication with wider stakeholders and forethought and consideration of other subsystems
  • Advanced working SQL knowledge and experience working with both relational and non-relational databases
  • ETL experience
  • Understanding of cloud architecture concerns
  • Have experience with modern ETL tools
  • Speak SQL fluently, and comfortable using Python
  • Have deep knowledge and experience with databases and building data warehouses
  • Are experienced in building cloud-based data solutions, AWS, GCP or Snowflake
  • Have experience with modern BI tools, like PowerBI
  • Has an analytical mindset and some analytical experience
  • Modern commercial software development skills, experience building distributed systems, and solid cloud ops skills
  • Highly collaborative with excellent verbal and written communication skills, and the ability to form professional relationships with people of differing levels and specialisations
  • Ability to promote data best practices across a company in a compelling way
  • Curiosity, and a desire to maximise the value of our data to both internal and external consumers.

**You'll have the best time working at Trade Me, and this is why:**

**#Flexibility:** Flexibility means different things to different people and we support you to find what works, including a home office set up and utilities allowance. We value team connection and come together in person on Monday and at least one other day a week.

**#Wellness:** Being your best self means caring for your physical and mental wellbeing, we offer lots of resources to help you along the way.

**#Leave:** We support you with leave when you need it, including 5 days of wellness leave each year and 10 days of sick leave from day 1.

**#Social:** Nothing beats getting together to have some fun and celebrate our success. Join us in the office on payday for company paid lunches. Regular Friday drinks and nibbles, annual Trade Me company awards, celebrations and more.

**#Learning:** Whether it's on the job, formal training, mentoring or something else, you'll grow with us from Day 1.

We know some candidates can be reluctant to apply for roles if they feel they don't 'tick all the boxes'. If you're excited about this opportunity, we'd still really like to hear from you so please send us your resume and a short cover note outlining the "Why".

Trade Me is an INZ accredited employer. We truly value diversity and embrace a flexible workplace where people are encouraged to achieve their potential.

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