Coates Group
Technology
TechLead,DataEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Tech Lead, Data Engineering at Coates Group. Skills: Data Engineering, Data Pipelines, System Design. The Tech Lead, Data Engineering will architect and evolve a scalable, cost-efficient AWS data platform for enterprise analytics, reporting, and AI capabilities. This role involves designing and implementing reliable data pipelines, defining enterprise data standards, and leading foundational technical decisions for tooling, infrastructure, and scalability. The lead will also implement CI/CD pipe”
What You'll Achieve.
Enable high-quality, accessible, and governed data products through scalable semantic layers, curated datasets, and transformation standards. Architect and evolve a scalable, cost-efficient AWS data platform that enables enterprise analytics, reporting, and future AI capabilities.
Industry & Context.
Scalability; Cost Efficiency; Performance
Fraud Alert: Employment Scam Advisory It has come to our attention that unauthorised individuals are impersonating our company and reaching out to job seekers through fraudulent emails, falsely claiming to represent Coates. These emails often request personal information and appear to come from domains that are not affiliated with our organisation, such as coatesgroupcareer. com. We take this matter very seriously. Coates has reported these incidents to law enforcement and is cooperating with the ongoing investigation. We are committed to protecting the integrity of our recruitment process and the privacy of our applicants. Please be advised of the following: - Coates does not operate or communicate through any domain resembling "@coatesgroupcareer. com" - We do not contact employment candidates via email to solicit personal or financial information - All applications for employment must be submitted through our official website https://coatesgroup. com/careers or directly through our LinkedIn profile: Coates Group - All emails from us will come from our official domain, which is [at]coatesgroup[dot]com or via our Applicant - Tracking System (ATS) email address, which is no-reply[at]hire. lever[dot]co
What They're Looking For.
Must Have
6+ years of experience in data engineering with expertise in scalable system and platform design. Proven experience building, modernizing, or significantly evolving enterprise data platforms and architectures. Deep hands-on experience within the AWS data ecosystem, including production-scale data lake or lakehouse environments utilizing technologies such as S3, Glue, Spark, Athena, and/or Redshift. Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows. Experience implementing workflow orchestration solutions, preferably Airflow. Experience with infrastructure-as-code and automated deployment practices using tools such as Terraform or AWS CDK. Familiarity with modern data warehousing and lakehouse concepts, including dimensional modeling and platforms such as Snowflake, Redshift, or Databricks.
Nice to Have
Exposure to streaming technologies (e.g., Kafka or Kinesis), transformation frameworks such as dbt, multi-cloud environments, and/or ML and data science workflows is beneficial.
What You'll Do.
The Tech Lead, Data Engineering will architect and evolve a scalable, cost-efficient AWS data platform for enterprise analytics, reporting, and AI capabilities.
This role involves designing and implementing reliable data pipelines, defining enterprise data standards, and leading foundational technical decisions for tooling, infrastructure, and scalability.
The lead will also implement CI/CD pipelines, ensure high-quality data products, and provide hands-on technical leadership and mentoring to a team of data engineers.
How You'll Work.
Team & Collaboration
Ability to work collaboratively across technical and business stakeholders while providing hands-on technical leadership and direction.
Process & Methodology
CI/CD
Full Job Description
## Description 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, personalized 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. ## Responsibilities •Architect and evolve a scalable, cost-efficient AWS data platform that enables enterprise analytics, reporting, and future AI capabilities •Design and implement reliable, production-grade data pipelines and processing frameworks for batch and near real-time data •De
Applying for this Tech Lead, Data Engineering role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Coates Group?
Real rants from real employees. Read before you apply.