Data Engineering | Consulting | Multiple Roles | Adelaide

The quick version

• Join a people-first, high-growth tech consultancy delivering modern data platforms
• Work across multiple enterprise clients (finance, utilities, insurance, government)
• Support large-scale data migration and modernisation across enterprise environments

Why this role exists

This team is scaling rapidly to support multiple enterprise data programmes kicking off in parallel. The focus is on building out a strong data engineering capability to deliver across migration, modernisation and platform uplift initiatives.

What you’ll do

• Design and build scalable data pipelines across cloud and hybrid environments
• Support large-scale data migration and modernisation programmes
• Develop ingestion, transformation and orchestration frameworks that actually hold up in production
• Implement modern architectures (lakehouse, layered models, domain-driven design)
• Deliver high-quality data models and curated datasets for analytics and reporting
• Build batch and real-time data solutions with a strong focus on reliability and observability
• Work closely with stakeholders to translate business problems into data solutions
• Embed governance best practices (lineage, security, data quality) from day one
• Contribute to CI/CD, testing and DataOps maturity

What you’ll bring

• Strong experience as a Data Engineer (mid–senior level)
• Solid foundations in data engineering: pipelines, modelling and scalable design
• Experience with modern platforms (Snowflake, Databricks, Fabric or similar)
• Advanced SQL plus Python, Scala or similar
• Understanding of distributed processing and modern data architectures
• Exposure to governance, lineage and data quality frameworks
• Experience with CI/CD, version control and automation practices
• Strong communication skills in client-facing or stakeholder-heavy environments
• Streaming / real-time pipeline experience (nice to have)
• Cloud or platform certifications (nice to have)

Team & ways of working

• Consulting environment: a variety of projects, industries and challenges
• Embedded within client teams alongside internal staff and external consultants
• Strong community of practice, learn from experienced engineers and share knowledge
• Hybrid model (typically 2–3 days in office/client site)
• Agile delivery with a focus on continuous improvement

Compensation & details

• Long-term engagements
• Competitive rates & salaries
• Central Adelaide office locations
• Hybrid working (2–3 days per week)
• AU work rights required

Why it’s different

• Strong pipeline of multiple projects, not tied to a single engagement
• Opportunity to work across finance, utilities, insurance and government data initiatives
• Strong focus on engineering quality, not just delivery speed
• People-first culture with genuine investment in development

What to do next

Apply via DR Analytics Recruitment.