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Senior Data Engineer Transformation Lead

1 month ago

Melbourne, Victoria, Australia carsales Full time

Carsales is offering a highly competitive salary of $140,000 - $160,000 per annum.

Company Overview

We are proud to be recognised as one of Australia's Best WorkplacesTM by Great Place to Work, a Family Friendly Workplace, a WORK endorsed employer for women and WGEA Employer of Choice for Gender Equality.

Our company culture values autonomy, collaboration, and innovation, providing a supportive environment for our employees to grow and develop their skills.

Job Description

This role will contribute to the delivery of scalable data architectures and development & design best practices.

You will lead collaborations across data disciplines to develop, optimise and maintain data pipelines and solutions.

You will engage actively in facilitating team-based problem-solving sessions and contribute to the development of best practices.

You will initiate and nurture effective working relationships, acting as a trusted advisor on product analytics and commercial data solutions.

You will lead technical recommendations and decision-making while mentoring early-career engineers playing a key role in growing the team's capabilities.

Required Skills and Qualifications

Critical to success in this role is the ability to operate in the liminal space between business, data and technical practice.

  • An all-of-business ownership mindset over siloed success; leading with high levels of personal integrity and accountability.
  • Ability to distil business and analytics requirements into well-defined engineering problems.
  • Skilled at identifying appropriate software engineering methods (e.g. modularisations, abstractions) that make data assets tractable.
  • Strong software engineering fundamentals (e.g. data structures, principles of software design, build & testing).
  • Strong data engineering experience (e.g. transformations, modelling, pipelines), grounded in the basics of an analytical discipline (e.g. analytics or science).
  • Skilled in designing and building pipelines using cloud services such as AWS EC2, Glue, Lambda, SNS, SQS, IAM, ECS or equivalent.
  • Demonstrated experience with distributed technologies such as Airflow, HDFS, EMR.
  • Proficient in two or more programming languages such as Python, Spark, Scala or similar.
Benefits

We offer 22 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender affirming care leave.

Regular Hackathons, endless learning and development opportunities, and a range of activities that will help support your mental, emotional, and physical wellbeing.