C

Tech Lead, Data Engineering

salary Salary :

$145,200 - 165,000 yearly

icon building Company : Coates Group
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Tech Lead, Data Engineering

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!

 
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

•Define enterprise standards for data architecture, modeling, observability, reliability, and platform performance

• Lead foundational technical decisions across tooling, infrastructure, data design, scalability, and operational efficiency

•Implement and maintain infrastructure-as-code, CI/CD pipelines, and automated deployment practices across the data platform

•Enable high-quality, accessible, and governed data products through scalable semantic layers, curated datasets, and transformation standards

•Provide hands-on technical leadership, mentoring, and architectural direction for a growing team of data engineers and cross-functional stakeholders

Capabilities


•Ability to design scalable, secure, and cost-efficient data architectures that support enterprise analytics and future AI initiatives

•Strong technical problem-solving and decision-making skills, including balancing tradeoffs between scalability, complexity, performance, and cost

•Ability to establish engineering standards, operational best practices, and reliable platform governance processes

•Strong understanding of CI/CD pipelines, modern software engineering practices, and production support models

•Experience enabling accessible, high-quality data products for analytics, reporting, and downstream business consumers

•Ability to work collaboratively across technical and business stakeholders while providing hands-on technical leadership and direction

•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

Qualifications


•6+ years of experience in data engineering with strong 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

$145,200 - $165,000 a year

Full Salary Range: $145,200/year (minimum), $155,100/year (midpoint), $165,000/year (maximum).


Pay is based on relevant experience, skills, education, internal equity, and market data. Well-qualified candidates can generally expect offers around the midpoint. Candidates who meet the minimum qualifications but have more limited directly relevant experience for this specific role are typically placed nearer the minimum, while highly experienced candidates with strong role alignment may be placed closer to the maximum.


About Coates

We are industry leaders who have won awards and set records. We are a 2x Australia Good Design Award winner and we successfully completed the largest hardware deployment in Quick Service Restaurant history.

We are led by a forward-thinking CEO who has demonstrated a true passion for people and making Coates a place where people genuinely enjoy working. Our growth plans enable a focus on providing rapid career advancement opportunities for our talent.

Together, we are creators, allowing us to make our purpose a reality – to create immersive brand experiences for everyone.

Join a Crew that Cares

Be part of a global team of talented, ambitious, creative people that value integrity, individuality and inclusivity. (Ask us about our Equality + Empowerment Initiatives).

The benefits include an annual market competitive bonus program and our “Thrive Program” which includes a suite of flexible work options because we’re strong believers that you should never miss an important life or work moment. Thrive also provides dedicated time to prioritize our health and wellbeing (think virtual Yoga or meditation sessions), a Global Wellness paid day off to recharge as well as a “Give Back Day” to allow our Crew an opportunity to make an impact in the community.

Be inspired To Be More

We skip the red tape and aim to always stay nimble. We’re proud of where we’ve been and are energized by where we’re going. We encourage ideas and perspectives because we know the more we have, the better we are. We work hard but have fun along the way. We push the boundaries but keep it real and authentic. We believe in the values that got us here are the ones that will continue to lead us forward. We are excited by what we’ve accomplished, but know the best is yet to come.

Coates Group is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law). 

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 
 
If you receive any suspicious communications purporting to be from Coates, we urge you not to respond, do not click any links, and do not provide any personal information. Your safety and trust are of the utmost importance to us. Thank you for your vigilance.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Original job Tech Lead, Data Engineering posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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