About the role The Senior Data Engineer is responsible for building, optimising, and maintaining our data pipelines and ETL processes to support data-driven decision‑making across business units. This role will focus on developing robust data solutions within Databricks, covering Bronze, Silver, and Gold medallion layers to ensure data integrity, accessibility, and performance. The Senior Data Engineer will play a key role in orchestrating data workflows, managing dependencies, and leveraging tools like Apache Airflow, DBT core, and Spark to develop efficient data models and processing pipelines. Your role requires expertise in data engineering best practices, including data extraction, transformation, and integration from various internal and external sources. Collaborate with line‑of‑business teams to understand data requirements and ensure the delivery of high‑quality, reliable data products. By ensuring the continuous optimisation and scalability of our data engineering infrastructure, this role will empower the organisation to derive actionable insights and drive business outcomes. Culture & Benefits flexible work arrangements, empowered to work your way & agile + additional leave benefits! primary & secondary parental leave & well‑being and family support benefits numerous career development pathways + yearly financial support to upskill annual bonuses + generous $$$ employee referral program empowering you within a fun, diverse and inclusive culture group benefits galore for all employees! genuine focus on work / life balance reproductive leave benefits About You Proven experience designing and optimising complex data pipelines and ETL processes in cloud environments, with a strong focus on quality and performance. Hands‑on expertise with Databricks , including building and managing Bronze, Silver, and Gold data layers. Strong experience orchestrating workflows using tools like Apache Airflow , DBT , and Databricks Workflows/DLT . Proficiency in Python and SQL to develop scalable data models and transformations. Experience integrating data from diverse sources, including APIs and real‑time streaming. Solid background in Spark , PySpark , and Delta Lake for large‑scale data processing and optimisation. Familiarity with CI/CD (GitLab) and foundational knowledge of Terraform and RBAC for deployment and access management. Who we are Zinfra is a leading partner in the design, build, operation and maintenance of Australia's energy and utilities infrastructure. Delivering over $1B portfolio annually, the work we do is essential to bringing energy to our communities safely and reliably, while powering the nation's energy transition. With a diverse workforce of more than 2,300, we expertly deliver our services across Australia. Diversity & Inclusion We champion and value diversity in life and work experiences, as we know everyone benefits from broader diversity of thoughts in our problem solving, decision making and ability to innovate. We encourage applications from everyone, including First Nations people, veterans, people living with a disability and members of the LGBTIQA+ community. If you need adjustments during the recruitment process, please let us know. #J-18808-Ljbffr