Data Engineering Manager

3 days ago

Sydney, New South Wales, Australia Talent Insights Group Full time $180,000 - $200,000 per year

Data Engineering Lead – Databricks & dbt

Sydney / Hybrid

$180-200k base plus super

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 for the
Data Engineering Lead – Databricks & dbt
include;

  • 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.

Requirements for the
Data Engineering Lead – Databricks & dbt
include;

  • 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.

Preferred Qualifications for the
Data Engineering Lead – Databricks & dbt
include;

  • 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.

Benefits

  • 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.

The company encourages applications from candidates who are excited to lead with
Databricks
and
dbt
and contribute to a data-driven culture.

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