Role -Databricks Data Engineer Senior Analyst

About the Role

We are seeking experienced Databricks Data Engineers to join our Data & AI. You will play a pivotal role in designing, developing, and maintaining scalable data pipelines and transformation workflows on Azure Databricks, enabling advanced analytics and data engineering initiatives.

Key Responsibilities

- Design, develop, and optimize scalable data ingestion pipelines using Azure Data Factory, Databricks, and Apache Spark.
- Build and maintain Databricks notebooks using PySpark for data preparation, transformation, and enrichment to support Data Science use cases.
- Collaborate closely with Data Scientists to understand data requirements and ensure timely delivery of clean, structured datasets.
- Implement data quality checks, validation rules, and monitoring mechanisms.
- Integrate data from various sources including structured, semi-structured, and unstructured formats.
- Ensure data security, governance, and compliance with banking regulations.
- Optimize Spark jobs for performance and cost-efficiency in Azure.
- Participate in code reviews, design discussions, and agile ceremonies.
- Document data pipelines, workflows, and technical decisions.

Required Skills & Qualifications

Technical Skills

- Experience in data engineering, with at least 2+ years hands-on experience in Azure Databricks.




- Strong proficiency in Apache Spark, especially PySpark for distributed data processing.
- Experience with Azure Data Factory, Azure Synapse, Azure Blob Storage, and Delta Lake.
- Solid understanding of ETL/ELT processes, data modeling, and data warehousing concepts.
- Proficiency in Python and/or Scala for data processing.
- Experience with CI/CD pipelines using tools like Azure DevOps, Git, and Terraform (preferred).
- Familiarity with SQL, NoSQL, and data lake architectures.
- Knowledge of data governance, security, and compliance in financial services.

Soft Skills

- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work collaboratively in cross-functional teams.
- Agile mindset and experience working in Scrum/Agile environments.

Preferred Qualifications

- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
- Databricks Certified Data Engineer Associate/Qualified certification is a plus.
- Experience working in banking or financial services domain is highly desirable.
- Australian citizenship is required, and candidates must be eligible to obtain security clearance.
- Location is flexible across Brisbane, Sydney, and Melbourne.

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📌 Databricks Data Engineer Senior Analyst - Avanade (Queensland)
🏢 OpenTalent
📍 Queensland