Mantel is an Australian‐owned IT Professional Services consultancy focusing on emerging technology to help advance clients by leveraging AI, Digital, Cloud, Data & Security technology. It is fully AI‐enabled and bridges the gap between blue‐sky ambition and practical steps to deliver value. Since its inception in November 2017, Mantel has grown across Australia & New Zealand and has been recognised as a Great Place to Work for six years in a row.
We hire smart and talented people and get in the way. As a principle‐based organisation with a flat structure and no hierarchy, we focus on our five principles and avoid red tape, trusting you to get the job done.
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 migration.
Role
Lead Data Engineer – Databricks
As a key member of our Data Engineering team, you'll lead the design and deployment of data projects, develop data pipelines, build data models, and write advanced queries to help our clients harness the power of data.
Responsibilities
* Design and implement greenfield solutions and recommend and implement changes to existing solutions.
* Build and deploy modern data architectures (Medallion/Lakehouse) primarily on Databricks, utilizing cloud platforms such as AWS, Azure and 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) and, at times, share responsibility collaboratively with other Leads and 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 and stay at the forefront of relevant technologies 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 and participate in pre‐sales activities such as creating proposals/SoWs and facilitating walk‐throughs with clients.
* Build meaningful and trusted relationships with clients, key decision makers and partners, establishing your reputation and influence as a data expert within Mantel and the broader community.
* Lead teams by demonstrating Mantel's principles and attributes.
Qualifications & Attributes
* 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 influence the internal and client teams.
* Experience 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; a deep understanding of the Spark engine is a significant plus.
* Demonstrable experience leading end‐to‐end data engineering projects, including using automation best practices for CI/CD and IaC.
* Hands‐on experience with 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.
We value diverse skill‐sets and encourage you to apply even if you don't meet all of the above; if you cover the majority of the experiences/skills listed, we still encourage you to apply or get in touch.
What You Can Expect From Us (Benefits)
* A My Deal program that lets you tailor your yearly plan with the support of your Leader: choose extra professional development, extra annual leave, time to work on a side hustle, or anything else that matters to you – one size does not fit all.
* All the tools you need to hit the ground running: a new phone, laptop and swag. This is a true investment in your AI‐first career, providing access to the Mantel AI Gateway, our secure, centralised platform with multiple AI models, a dedicated monthly budget and a safe environment to experiment and innovate.
* Flexible Personal Leave options for unplanned moments in life, supported by an organisation that cares about you and your family.
* A flexible hybrid approach to working guided by our principles; we trust each other to make good choices about the best workplace locations for each project, role and client, which can change based on client needs.
* Internal career opportunities across Cloud, Data, Digital, Delivery and Security, allowing you to shape your career path according to your passions.
* Elite partnerships that result from our deep platform mastery, giving you the chance to work alongside teams with the highest levels of technical expertise on the most complex, high‐profile projects on the market. Check out our partner awards and recognitions here.
* Certification as a Family Inclusive Workplace, demonstrating a commitment to improving wellbeing at work through leading practices on flexible work, parental leave and family care.
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