C

Senior Data Engineer

Sydney · SydneyFull-timesenior
Data EngineeringData EngineerDataData & AI
0 views0 saves0 applied

Quick Summary

Requirements Summary

Work closely with various teams, including data owners, analytics engineers, and stakeholders, to understand data requirements and translate them into efficient and scalable data pipelines.

Technical Tools
Data EngineeringData EngineerDataData & AI
Be Part of Our Next Chapter

For over almost 60 years, our solutions have enabled impactful connections between some of the world’s leading brands and their customers. And while we’ve already done a lot of work we’re proud of, we’re just getting started!

We’re a global technology company focused on creating dynamic, smart, personalised and engaging customer experiences powered by our range of digital hardware, our proprietary content management system and our industry leading signage solutions. (For example: If you’ve ordered in-store or in the drive-thru at McDonald’s somewhere in the world in the last few years, chances are you’ve interacted with our digital solutions.) We work in over 50 global markets and have 9 offices around the world, with a global headquarters proudly located in our founding home of Sydney, Australia.

Coates Group has the values of a family-owned business and the innovative spirit of a start-up, both which fuel our purpose – Creating Connections. Empowering Partnerships. Always Evolving.  Through hard work, dedication and creativity, we’ve become industry leaders who have won awards and set records while remaining focused on continual growth and evolution. We are a 2x Australia Good Design Award winner and successfully completed the largest hardware deployment in Quick Service Restaurant history.

We are curious, charismatic, authentic and we value and leverage the diversity of our crew. We are imaginers, kindness enthusiasts, experts, creators, thinkers, challengers, collaborators and over-achievers. And together, as a Crew, we are revolutionizing the way the world’s leading brands leverage technology to drive the best customer experiences.

We’re looking for a Senior Data Engineer to own our data backbone, shaping architecture, building scalable frameworks, and delivering robust pipelines that power smarter decisions across Coates Group. You’ll lead end-to-end data engineering initiatives, partnering with cross-functional teams to design, build and optimise solutions that turn complex data into trusted, business ready assets.
 
From big picture platform strategy to hands on pipeline development, you’ll drive performance, reliability and innovation across our data landscape. You’ll also step into evolving priorities, troubleshoot critical issues, and continuously improve how we ingest, transform and serve data, ensuring our foundations are secure, scalable, and built for growth.
  • Take ownership of data engineering projects from inception to completion, ensuring the successful delivery of high-quality data solutions that meet business requirements.
  • Collaborate with Cross-Functional Teams: Work closely with various teams, including data owners, analytics engineers, and stakeholders, to understand data requirements and translate them into efficient and scalable data pipelines.
  • Design and Build Data Pipelines: Utilize your technical proficiency to design and construct data pipelines that enable seamless data integration from multiple sources into our data warehouse.
  • Maintain Data Infrastructure: Continuously optimize and enhance the data infrastructure to ensure data quality, reliability, and performance, while adhering to best practices.
  • Foster a Data-Driven Culture: Promote the use of data-driven decision-making by empowering teams with access to accurate and timely data through well-structured pipelines.
  • Stay Current with Data Engineering Trends: Keep abreast of the latest advancements in data engineering technologies and methodologies, incorporating them into our data engineering practices.
  • Demonstrated experience in data engineering with a track record of delivering successful data solutions.
  • Expertise in data storage, processing and transformation of data with tools such as Snowflake, Airflow, Airbyte, Athena, Glue, DBT, S3 and Azure Blob on cloud platforms such as AWS and Azure (GCP would be a bonus but not mandatory).
  • Proficiency in programming languages such as Python for data manipulation and ETL.
  • Solid knowledge of database technologies, data modelling and data warehouse methodologies and high proficiency in both T-SQL and Snowflake native SQL.
  • Listing Details

    Posted
    February 20, 2026
    First seen
    March 26, 2026
    Last seen
    April 24, 2026

    Posting Health

    Days active
    29
    Repost count
    0
    Trust Level
    33%
    Scored at
    April 24, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
    Newsletter

    Stay ahead of the market

    Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

    A
    B
    C
    D
    Join 12,000+ marketers

    No spam. Unsubscribe at any time.

    C
    Senior Data Engineer