Lead Data Engineer

Job Description

We’re looking for a Lead Data Engineer to help our clients design, build and operate reliable data platforms that turn complex data into useful business insights.

You’ll work across the data lifecycle, from architecture and source integration through to data pipelines, semantic models, visualisation and reporting. You’ll bring strong engineering skills in Python and SQL, alongside hands-on experience with at least one of Databricks, Snowflake or Microsoft Fabric.

Working closely with clients, analysts, data scientists and fellow engineers, you’ll translate business requirements into secure, maintainable and scalable data solutions. You’ll also provide technical guidance, contribute to design decisions and help the team strengthen its engineering practices.

What you’ll do

• Work directly with clients to translate business requirments into technical solutions; Providing guidance and contributing to design decisions.
• Design, build and maintain data pipelines to ingest, transform and deliver data from a range of sources, including APIs.
• Develop solutions using Databricks, Snowflake or Microsoft Fabric, selecting approaches that suit the client’s requirements and existing environment.
• Contribute to data architecture and solution design, including data storage, integration and modelling.
• Develop data models, ontologies and semantic layers that establish consistent business definitions and support analytics and reporting.
• Implement pipeline orchestration, scheduling, monitoring and operational support to keep data services reliable.
• Troubleshoot data and pipeline issues, improving performance, scalability and cost efficiency.
• Apply data quality controls, automated testing and validation throughout the data lifecycle.
• Implement role-based access control and follow security best practices for data platforms and integrations.
• Apply DevOps practices to data engineering, including version control, repository management, CI/CD and automated deployment.
• Build data visualisations and reports that make information clear and useful to business users.
• Document solutions, review code and share knowledge to support maintainable delivery and continuous improvement.

Qualifications

What you’ll bring

• Hands-on experience delivering production data solutions using one or more of Databricks, Snowflake or Microsoft Fabric.
• Strong programming skills in Python and SQL.
• Experience designing, developing and operating data pipelines, including ETL/ELT processes, orchestration and monitoring.
• A sound understanding of data architecture and modelling techniques, including analytical and dimensional modelling.
• An understanding of ontologies and semantic modelling, and how they connect data structures to business concepts.
• Practical experience optimising data processing and troubleshooting pipeline, query and platform performance.
• Experience integrating data through APIs, including authentication, error handling and reliable data exchange.
• Experience applying role-based access control (RBAC) and data security best practices.
• Experience using Git, maintaining repositories, writing automated tests and building CI/CD workflows for data solutions.
• Experience developing data visualisations and reports.
• The ability to explain technical choices clearly, work collaboratively with business and technical stakeholders, and guide other engineers.

Useful additional experience

• PostgreSQL, SQL Server, Google BigQuery or Amazon Redshift.
• R or other programming languages.
• Relevant cloud services across Microsoft Azure, AWS or Google Cloud.
• Relevant certifications in Databricks, Snowflake or Microsoft Fabric.

Additional Information

 

• Flexible, hybrid working – 20 “work from anywhere” days per year on top of our hybrid policy.
• Global career pathways and non-linear progression; move between domains, disciplines or geographies.
• Continuous learning via certifications, internal academies, tech communities and funded conferences.
• Well-being & lifestyle allowance, loyalty leave, inclusive parental leave and employee assistance programmes.
• A vibrant, inclusive culture where diverse perspectives power innovation.

Ready to drive AI-powered transformation?

Apply today with your CV and a short cover note outlining a data-led solution you are proud to have shaped. We look forward to exploring how your expertise can help our clients turn bold ideas into real-world impact.

Endava is an equal-opportunity employer. We value the differences that make us stronger and commit to transparent, merit-based hiring.

Additional Local Benefits 

• Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.  
• Novated Leasing: Pre-tax car leasing benefit for new and used cars. 
• Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
• Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave. 
• Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Company Description

Technology is our how, and people are our why. For 20-plus years we have paired world-class engineering with deep industry insight, helping global brands create intelligent digital experiences that drive meaningful change. Join us as we expand our Australian Data & AI capability and help clients unlock the full value of their data assets.