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Data Engineering Lead

3 months ago

Auckland City, New Zealand Les Mills Full time

Data Engineering Lead position in a global company on a mission to create a fitter planet.
- Work with platforms such as GCP or AWS
- Transitioning to a best practice Snowflake based ecosystem
- Hybrid office or fully remote work available

**About Les Mills International**:
At Les Mills, unlocking and amplifying that inner drive to achieve our goals is something we’re not shy to say we’re great at. While the Les Mills gyms that you know and love smash it out here in Aotearoa, our hustle is taking Les Mills group fitness classes to the world.

Today, Les Mills Internationals programs are in 20,000 gyms in over 100 countries - pair that with the boom of our digital subscription service LES MILLS+ (like Netflix for our workouts), and it’s an exciting time to be a part of our global company. Our mission is simple - to create a fitter planet.

**The role**:
We are seeking a talented and experienced Data Engineering Lead to join our dynamic team. As a Data Engineering Lead, you will be responsible for building data pipelines, creating and maintaining data models and working closely with the Analytics teams to provide high quality data to inform decision making and support our growth. This role will also have 2 direct reports.

Key Responsibilities:

- Design and implement scalable, reliable, and efficient data pipelines using Modern Data Stack tools such as fivetran, dbt and Coalesce as well as integrating custom solutions using cloud platforms such as Google Cloud Platform or Amazon Web Services.
- Work closely with cross-functional teams to identify data requirements, design, build and maintain data models, and build data solutions to support business needs.
- Develop data aggregation platforms and data transformation processes that automate data workflows across different sources and systems.
- Create and maintain high-quality documentation and code to ensure reproducibility and reliability of the data pipeline.
- Collaborate with data scientists, analysts, and software engineers to build advanced analytics and machine learning models.

**Requirements**:

- Expertise in designing and implementing large-scale data pipelines using cloud platforms such as Google Cloud Platform or Amazon Web Services.
- Experience with tools such as Fivetran, dbt, Coalesce, Airflow, and other ETL/ELT frameworks.
- Strong experience in Python programming language and its data ecosystem
- Familiarity with relational databases such as PostgreSQL, MySQL, and NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
- Excellent problem-solving skills, attention to detail, and the ability to work independently or as part of a team.

**What’s in it for you**:
We operate as a flexible and hybrid workplace with a mix of working in the office and at home as a work scheme that enhances and encourages work/life balance. Whether that be working from home, going to the gym or doing school drop-offs/pick-ups, we want our employees to feel comfortable working in an environment they can thrive and feel empowered.

We offer some great benefits that include:

- Free gym membership and LM+ Subscription
- Health Insurance discount
- Friday drinks
- Monthly companywide parties/events
- Global mobility
- Dog friendly office
- Volunteer day
- Free fresh fruits & snacks

We are a Rainbow Tick certified organization committed to providing a flexible, diverse and inclusive environment. We believe our people are the only way to help us work towards some steep growth goals and industry-leading innovations. If you’re excited about this role, we encourage people of all backgrounds to apply, even if you don’t meet every requirement. We might have something waiting in the wings that you’d be perfect for. We value the concepts of togetherness, support, equity, and respect, and that begins with increasing diversity in our teams.

Les Mills International is an Immigration Accredited Employer.