Tech Lead - Data Engineering

Sydney, New South Wales, Australia - Remote

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Zoomo

Check our reliable electric bikes and enjoy flexible lease plans in Australia, US, UK, France and more!

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OUR STORY

Founded in Sydney in 2017, we saw the need to provide short term, flexible leases of electric bikes to people who want to make money from food delivery. We’re a fast growing tech start up with a global footprint across Australia, the US and the UK. We are doubling in size every 6 months! The problems you solve and the impact you have will be key to helping Zoomo lead the transformation of last-mile logistics as we scale across global markets.

OUR PURPOSE

We are transitioning billions of urban delivery miles from bikes, cars and trucks to smart e-bikes, starting with food delivery. eBikes are more efficient, more sustainable and now, easily accessible.

OUR VALUES

  • Ride with Passion: We’re passionate about building an enduring company that will have a lasting positive impact. We go the extra mile because we care.
  • Pedal Together: We thrive through collaboration. We appreciate and respect one another and celebrate the wins as a team.
  • Dream Big, Learn Fast: We give constructive feedback, encourage development, and learn from the losses. We are entrepreneurial, creative, and agile in building what matters most.
  • Serve the Rider: We unlock economic growth for our clients by providing world class vehicles and making them accessible. We delight our customer by delivering quality maintenance and excellent customer service.
  • Make the Streets Greener: We are committed to developing long-lasting micro-mobility solutions that meaningfully contribute to the decarbonisation and decongestion of our cities.
  • Lead with Clarity: We are open and transparent about our operations, products, and decision-making processes. We do what we say.

    We are looking for a Data Tech Lead to help lead data engineering, enable data driven decisions internally at Zoomo, and support the creation of data-driven features in our customer-facing software products. They will help lead the design and delivery of Zoomo’s ongoing data programs and collaborate closely with their counterparts in business intelligence, analytics, and product development teams.The Data Tech Lead is responsible for their team’s execution, the quality of the team’s work, the speed and cadence at which they produce, but most importantly they are responsible for the impact delivered, while maintaining the team’s culture, environment, and overall growth of the people in it.The Tech Lead role is a balance between hands-on engineering and people management.

Requirements

  • Experience with building data lake and data warehouse ETL pipelines build and deploying onto GCP
  • Experience building on top of GCP data and analytics services like Dataflow, BigQuery, PubSub, Cloud Functions and other GCP native tools and APIs.
  • Advanced SQL skills
  • Proficient coding skills in Python
  • Experience deploying using Infrastructure-as-Code (Terraform)
  • Batch and Streaming data experience
  • Experience working with visualisation tools such as Tableau, Looker, etc.
  • Experience with Data Governance & Metadata Management.

Responsibilities


Technical Leadership

  • Leading the strategic design, delivery and maintenance of Zoomo’s data pipelines and data infrastructure.
  • Provide technical leadership to teammates through coaching and mentorship.
  • Responsible for ensuring clean and accurate code that is of a high quality and meets or exceeds established standards.
  • Working with the team to design and implement solutions that are scalable and reliable
  • Coordinating and communicating with stakeholders to ensure awareness of project status and achievement of project outcomes.
  • Create necessary technical documentation for reference and reporting.
Hands on Development
  • Lead the Team’s delivery of fit-for-purpose reports, dashboards, data extracts, advanced analytics and other data products consumed by business stakeholders and customers.
  • Providing technical expertise and understanding of data pipelines and data warehousing best practice.
  • Identify data quality issues and develop solutions to rectify
  • Proactively clean data, conduct deep dives into issues and resolve them
  • Understand business requirements, design and develop solutions to land and process data from source to warehouse to data marts
  • Define and own enhancements to data warehouses and business intelligence capability with focus on integrity, stability, availability, performance and business outcomes.
People Management
  • Line management and personal development of a team of highly skilled data engineers, including recruitment, leave and expense approvals and management
  • Meet regularly with your reports, drive each of your people to become the highest performing version of themselves they can be, using a variety of techniques which may include performance feedback, career development, coaching and mentoring.
  • As needed, review and manage performance and facilitate any remedial actions with the support of your Manager and P&C.
  • Identify and encourage areas for growth and improvement within the team.
  • Ensure the health of your team is monitored, that all members of your team are empowered to raise ideas and concerns, and that everyone contributes to improvements in how the team works together.

Benefits

At Zoomo, we celebrate diversity and are committed to creating an inclusive environment and equal opportunities. We offer you the chance to be part of an organisation in hyper-growth mode with plenty of opportunities for personal development, including:

  • Competitive Salary + Equity Options
  • Flexible working hours
  • Tech Allowance for BYO device
  • Pet-Friendly Sydney HQ
  • Zoomo eBike - subject to passing probationary period and paying a deposit

Zoomo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Even if you don’t think you tick all the boxes, but believe that you have the skills and capabilities to make an impact, we’d love to hear from you.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs BigQuery Business Intelligence Dataflow Data governance Data pipelines Data quality Data warehouse Data Warehousing Engineering ETL GCP Looker Pipelines Python SQL Streaming Tableau Terraform

Perks/benefits: Career development Competitive pay Equity Flex hours Health care Startup environment

Regions: Remote/Anywhere Asia/Pacific Europe
Job stats:  17  4  0

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