Senior Data EngineersApply Now
Sydney
IT & Telecomms Software - Developer
- Greenfield
- Data Engineering
- Databricks
Looking for data engineers to work on data-driven products and scalable infrastructure to support business critical initiatives. I’m looking for Data Engineers to help design, develop, and maintain robust data pipelines and processing systems using Databricks, SQL, and Python.
Responsibilities
- Design and build scalable, reliable data pipelines using Databricks and Apache Spark.
- Write clean, optimized, and reusable SQL and Python code to transform raw data into meaningful insights.
- Develop and maintain ETL/ELT workflows for large-scale datasets.
- Collaborate with data scientists, analysts, and engineering teams to support analytics and ML workloads.
- Implement data quality checks, observability, and automation.
- Optimize performance and cost of data processing workloads on cloud platforms (e.g., AWS/Azure/GCP).
What We’re Looking For
- 5-6 years of experience in Data Engineering roles.
- Strong command of SQL for data manipulation and performance tuning.
- Proficiency in Python for data processing and automation.
- Hands-on experience with Databricks (or similar platforms like Spark, EMR, Azure Synapse).
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with data modeling, partitioning strategies, and performance optimization.
- Understanding of CI/CD pipelines and version control (e.g., Git).
Bonus if you have
- Experience with Delta Lake, dbt, or Airflow.
- Exposure to MLflow or similar ML tooling.
- Knowledge of data governance, security, and compliance standard.