
Data Engineering Manager
4 weeks ago
Data Engineering Lead – Databricks & dbt in Sydney (Hybrid). Talent Insights is partnered with a company who are seeking a Data Engineering Lead to take ownership of its modern data stack and lead a talented team of engineers in building scalable, high-performing data solutions. The ideal candidate thrives in architecting data platforms, mentoring teams, and has hands-on experience with Databricks and dbt.
Responsibilities- Lead and mentor a team of data engineers, promoting best practices in coding, testing, and deployment.
- Design, implement, and optimise ETL/ELT pipelines using Databricks and dbt.
- Drive the adoption of modern data practices, ensuring data quality, governance, and scalability.
- Collaborate with data analysts, scientists, and business stakeholders to deliver reliable, actionable data.
- Own the technical roadmap for data engineering, aligning initiatives with business goals.
- Proven experience as a Senior or Lead Data Engineer, with leadership or mentorship experience.
- Strong expertise in Databricks (PySpark/SQL) and dbt for transformation and modelling.
- Solid knowledge of cloud platforms (AWS, Azure, or GCP).
- Familiarity with modern data architectures, including lakehouse and streaming solutions.
- Excellent communication skills and ability to manage stakeholder relationships.
- Passion for driving engineering excellence and fostering a collaborative team culture.
- Experience with orchestration tools such as Airflow, Dagster, or Prefect.
- Knowledge of CI/CD practices and DevOps for data pipelines.
- Exposure to BI/visualisation tools such as Tableau, Power BI, or Looker.
- Opportunity to shape the company's data strategy and engineering function.
- Work with a modern, cloud-first data stack.
- Collaborative and inclusive culture with a focus on innovation and growth.
- Competitive salary, benefits, and flexible working arrangements.
Base pay range: A$180,000.00/yr - A$210,000.00/yr
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