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Atturra

Atturra is a leading technology consulting and services firm dedicated to guiding organizations through digital transformations through a range of services, suc

Senior Databricks Engineer

Location

Australia

Posted

96 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishAzureETLPythonApache SparkSQLUnity

Job Description

Senior Databricks Engineer

Atturra

• Build and operate reliable, scalable data pipelines and curated datasets on the Databricks Lakehouse Platform • Collaborate with architects, analysts, and platform teams to implement batch and streaming ingestion • Develop dimensional and/or domain data models • Uplift governance and observability across the data lifecycle • Design, build, and optimising ETL/ELT pipelines using Databricks (Spark/SQL), Delta Lake, and Databricks Workflows/Jobs • Develop and maintain transformation models with dbt (Databricks adapter), including testing, documentation, and deployment via CI/CD • Implement medallion architecture patterns (bronze/silver/gold) and best-practice data modelling to support analytics and self-service consumption • Build data quality checks and observability (e.g., dbt tests, expectations, monitoring/alerting) and support lineage and documentation • Apply security and governance using Unity Catalog (access controls, table ownership, auditability) and partner with stakeholders on compliant data access • Performance tuning and cost optimisation (cluster policies, job orchestration, Spark optimisation, partitioning, Delta optimisation) and support incident/problem resolution

Job Requirements

  • A bachelor’s degree in computer science, information systems, or a related field
  • At least 3 years of relevant data engineering experience, including delivery on the Databricks Lakehouse Platform
  • Current Databricks certification(s) are required (e.g., Databricks Data Engineer Associate/Professional)
  • Hands-on experience with dbt (data build tool) for SQL-based transformations, testing, and documentation
  • Programming Skills – Python for data processing
  • Strong Spark and Databricks notebooks experience for data transformation and processing
  • Solid skills in SQL, experience with transformations, data warehouses and dimensional models
  • Experience with Delta Lake tables, optimisation and medallion architecture concepts
  • Experience with orchestration (Databricks Workflows/Jobs) and CI/CD for data pipelines (e.g., Azure DevOps/GitHub)
  • Understanding of governance and security patterns (preferably Unity Catalog)
  • Ability to work independently and as part of a team

Benefits

  • Employee benefits, recognition, and wellbeing platform
  • Career growth via succession planning, internal promotions, and mentorship opportunities
  • Ongoing investment in professional development through industry and technology certifications, and study assistance
  • Mental health support through our Employee Assistance Program
  • Support for family and caring responsibilities, including paid parental leave
  • Employee referral program, with monetary incentives offered

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