Mantel is an Australian-owned IT Professional Services consultancy, focused on emerging technology to help advance our clients by leveraging AI, Digital, Cloud, Data & Security technology. We are a fully AI-enabled technology consultancy and the partner that bridges the gap between blue-sky ambition and practical steps to deliver value. Since our inception in November 2017, we have experienced remarkable growth across Australia & New Zealand and are honoured to be recognised as a Excellent Place to Work for 6 years in a row

We hire smart and talented people and get out of their way. As a principle-based organisation, we have a flat structure with no hierarchy. By focusing on our five principles and not getting caught up in red tape, we trust you to get the job done

Data

Working in data at Mantel means you'll be ahead of the curve. You can align to a particular cloud platform or remain cloud agnostic, specialising in data engineering, machine learning, analytics, or data science. You'll design and scale enterprise-level, fully automated Agentic AI solutions, and speed up data platform migrations.

About the role

As a key member of our Data Engineering team, you’ll be leading design and deployment of data projects, developing data pipelines, building data models and advanced queries to help our clients harness the power of data.

As a Lead Data&AI; Engineer - Databricks you will:

- Design and implement greenfield solutions, as well as recommending and implementing changes to existing solutions.
- Build and deploy modern data architectures (Medallion/Lakehouse) primarily on Databricks, utilizing cloud platforms like AWS, Azure, or GCP.
- Define and establish technical architectures and delivery frameworks, ensuring a clear,



shared vision across the team and stakeholders.
- Have responsibility for the deliverables and efforts of project teams (varying in size, complexity and makeup of the team), and at times sharing responsibility collaboratively with other Leads / Principals.
- Define the data strategy for AI within the data domain, setting the standards for feature governance, data quality, and data lineage required for robust ML systems.
- Balance thorough, best-practice implementations with pragmatic solutions, depending on project timelines.
- Be deeply familiar with the SoW driving the work, understanding how to achieve commercial success of your project.
- Ensure quality of work is maintained through mentoring and up-skilling of others.
- Show outstanding consulting, technical and project management skills. Keep your skills sharpened, staying at the forefront of technologies relevant to your capability through continuous development, including gaining certifications. Share your learnings back with the team.
- Educate clients and potential clients about Mantel’s Databricks offerings relative to the overall strategy. Participate in pre-sales activities e.g. creating proposals/SoWs and facilitating walk-throughs with clients.
- Build meaningful and trusted relationships with clients, key decision makers and partners.



Establish your reputation and influence as a data expert within Mantel and the broader community.
- Lead teams by demonstrating Mantel’s principles and attributes.

We want to hear from you if you have:

- Strong consulting experience, either with external clients or internally within an organisation
- Commercial data experience across different industries and domains
- Ability to engage with senior level stakeholders and having a broad influence in the internal and client’s teams
- Experience in establishing technical architecture and leading the delivery of technical projects and project teams
- Prior experience leading greenfield projects and maintaining high-quality work throughout all project phases
- Technical brilliance across a broad range of cloud-native services
- Expertise in a broad range of data engineering approaches, Lakehouse architecture and Spark-based processing.
- Proficiency in data languages: SQL and Python (PySpark) or Scala; having a deep understanding of the Spark engine is a significant plus.
- Demonstrable leading end to end data engineering projects, including using automation best practices for CI/CD and IaC.
- Hands‑on expertise in Databricks (Workflows, Unity Catalog, Delta Live Tables) and modern cloud ecosystems (AWS/GCP/Azure).
- Knowledge of data security best practices and data quality frameworks, ensuring data integrity and consistency
- The ability to explain technical concepts regardless of the audience
- At Mantel, we want you to be yourself. We trust our team members to use their professional judgment while treating colleagues and clients with respect, compassion, and profession

📌 Lead Data&AI Engineer (Melbourne)
🏢 Mantel
📍 Melbourne