Data Engineer
Melbourne, Australia
Company Description
Are you ready to be a big part of something big?
This this is your opportunity to transform the way data engineering is done within a world class business. As a Data Engineer, you will build and optimize ‘big data’ data pipelines, architectures and data sets.
What’s on offer
- We’re a certified Great Place to Work, Family Friendly Workplace and WGEA Employer of Choice.
- Autonomy to choose where you work from – Office, Hybrid or Anywhere. We also bring the whole team together for planned collaboration, communication, and connection events 2-3 times per year.
- Support of a highly engaged, high-performing team. We have incredible talent in carsales that you will learn from.
- 18 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender transition leave.
- Regular Hackathons, endless learning and development opportunities, and a range of activities that will help support your mental, emotional and physical wellbeing.
- ASX 100 Listed Technology company growing globally with Australian based exec team.
Job Description
What you’ll do
- Build and maintain frameworks for data pipelines across the business.
- Be responsible for Data architecture and drive best development and design practices, as well as support building scalable data architecture.
- Innovate and build tools to monitor, measure and raise anomalies in Data Quality, lineage, observability, statistics and availability of Data platforms.
- Identify and drive improvements and automation in existing data platforms.
- Take ownership and be subject matter expert in your area.
- Contribute to a team and support full cycle developer philosophy.
Qualifications
Who we are looking for
A passionate mid-level Data Engineer who's ready to take the next step in their career and has experience in the following:
- Building data ingestion and serving pipelines with multiple cloud services and data providers.
- Programming with solid principles. Experience in Python is an added advantage.
- Data lakes and Data warehousing, as well as good SQL skills and experience in Databases like PostgreSQL, Redshift, Big Query, Oracle.
- Familiarity with data functions, tools and products such as Airflow, Spark, DBT, Deltalake, Snowflake, Databricks, etc.
- Understanding of software components such as APIs, Batch processing, Real time Streaming, ETL Jobs and Containers.
- Working on AWS services such as S3, lambda, IAM, ECS, Athena, Redshift, cloudformation and CDK.
Additional Information
A few other things we want to let you know about...
carsales is an equal opportunity employer who prides themselves on fostering a diverse and inclusive workplace. We encourage everyone of all ages, genders and backgrounds to apply. If you’re a candidate with a disability or you’ll need some adjustments to be at your best, let us know how we can provide you with additional support.
We know how important keeping that balance between work/life is and have a range of flexible working options on offer, including part time. We are open to this conversation during our recruitment process if you want to know more just ask!
We are a proud Circle Back Initiative Employer which means we are committed to responding to every job applicant.
Successful candidates joining the carsales family are required to undergo a National Police Record check and must have full-time Australian working rights on an ongoing basis.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture Athena AWS Big Data BigQuery Databricks Data pipelines Data quality Data Warehousing ECS Engineering ETL Lambda Oracle Pipelines PostgreSQL Python Redshift Snowflake Spark SQL Statistics Streaming
Perks/benefits: Career development Flex hours Flex vacation Parental leave Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs