Job Description
Job description
Senior Data Engineer Drive Innovation with INGRITY
Flexible Locations: Brisbane Sydney Melbourne
Join a Microsoft Data & AI Solution Partner shaping the future of data-driven solutions.
At INGRITY, we push boundaries, challenge the status quo, and deliver measurable impact through cutting-edge data and AI solutions. Partnering with leading ASX-listed companies and mid-sized businesses, we work closely with Microsoft to create real business value. Our success is rooted in innovation, customer advocacy, and a deep commitment to technical excellence.
Why INGRITY?
We’re more than just a workplace—we’re a community of innovators who thrive on intelligence and grit. If you’re looking for:
✅ A role that fosters personal and professional growth✅ A culture that embraces open communication and diverse perspectives✅ A team that invests in continuous learning and career progression✅ A company that values integrity, accountability, and impact
Then this could be the opportunity for you!
The Role: Senior Data Engineer
As a Senior Data Engineer, you’ll play a pivotal role in designing and developing automated data pipelines that transform and enrich data, delivering valuable insights to stakeholders. You’ll also lead and mentor a high-performing team while staying at the forefront of technologies like Databricks, DBT, and AWS Redshift.
What You’ll Do:
Build Scalable Data Solutions: Develop data pipelines, engineering patterns, and end-to-end data solutions that drive business impact. Architect Data Models: Design, implement, and optimise data models using DBT and Databricks, working with Data Vault 2.0 and Kimball methodologies. Enhance Data Engineering Frameworks: Maintain and refine existing Python-based engineering patterns and DBT macros. Collaborate & Lead: Work closely with architects, engineering teams, and stakeholders to drive innovative data solutions. Mentor & Grow Talent: Guide junior team members, fostering a culture of learning and technical excellence. Embed Best Practices: Champion data governance, security, and DevOps methodologies.
What You’ll Bring to the Team:
✔ 5+ years’ experience in Data Engineering, ideally within enterprise-scale environments✔ Proficiency in Databricks, Python, PySpark, AWS Redshift, and DBT✔ Strong understanding of Data Vault 2.0, Kimball methodologies, and data modelling✔ Experience with Fivetran (a plus!)✔ A proactive, problem-solving mindset and the ability to thrive in a fast-paced, evolving landscape✔ A Bachelor’s degree in Computer Science, IT, or a related field (DBT and Databricks certifications highly regarded)
Why Join INGRITY?
✨ Work with cutting-edge technologies✨ Flexible work arrangements across major cities✨ A team-first environment that values innovation and collaboration✨ Ongoing training and career growth opportunities
Ready to make an impact? Apply now and be part of a team shaping the future of data and AI!
