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About the Role
As a Senior Data Engineer, you will work on complex data solutions, build and deploy modern data architectures, and develop complex code-based ETL/ELT data pipelines. You will also handle Big Data processing, apply best practices in coding and monitoring, productionize AI models, and act as a technical expert. Additionally, you will lead small teams, collaborate with project leadership, identify opportunities, participate in community events, and mentor others.
Responsibilities
- Work on complex data solutions that meet and exceed client expectations.
- Build and deploy modern data architectures (Medallion/Lakehouse) primarily on Databricks, utilizing cloud platforms like AWS, Azure, or GCP.
- Develop complex code-based ETL/ELT data pipelines with performance-optimized data modeling using Spark, Delta Lake, and dbt.
- Work on Big Data processing - handling PII, data formatting & wrangling, data preparation.
- Apply best practices in coding, monitoring and alerting, using CI/CD, IaC and cloud architectures.
- Productionise AI models by building and monitoring the high-performance data pipelines that feed batch or real-time data into live, inferencing applications (e.g., using MLflow).
- Be a technical expert in at least one data engineering area, while adopting new technologies along the way.
- Successfully lead small teams, operate as the most senior technical person on a project and/or work collaboratively in larger teams of people with varying levels of experience.
- Work with project leadership to define scope, align on expectations, manage dependencies, escalate and mitigate risks, and seek timely support.
- Help identify potential opportunities within projects and client relationships.
- Participate in events to raise awareness of Mantel’s Data capability and building relationships in the community.
- Help train, coach and mentor others within the team through on-the-job teaching, tutorials, hands-on training, presentations and other similar activities.
Requirements
- 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 experience building and deploying data engineering pipelines into production, including using automation best practices for CI/CD.
- Hands-on experience with Databricks (Workflows, Unity Catalog, Delta Live Tables) and modern cloud ecosystems (AWS/GCP/Azure).
- Previously worked on medium to large scale data engineering projects in enterprise environments.
- Experience delivering engagements for clients and the ability to engage with senior level stakeholders.
- Previous commercial data experience, ideally across different industries and organisations.
- Can collaborate effectively, not just with your immediate team, but with other people in both Mantel and our clients.
- Take ownership, always stepping up to help and prioritising your teammates.
- Clear, kind communicator who makes sound decisions based on good judgement.
Skills
- AI
- Digital
- Cloud
- Data
- Security
- Databricks
- AWS
- Azure
- GCP
- Spark
- Delta Lake
- dbt
- Big Data processing
- CI/CD
- IaC
- MLflow
- SQL
- Python
- PySpark
- Scala
Location
- Melbourne
- Sydney
- Brisbane
- Perth
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- New phone, laptop & swag
- My Deal program for tailored yearly plans (professional development, extra annual leave, side hustle time, etc.)
- Certified Family Inclusive Workplace
- Flexible Personal Leave options
- Access to Mantel AI Gateway
- Dedicated monthly budget for AI experimentation
- Internal opportunities across Cloud, Data, Digital, Delivery & Security
- Supportive environment with elite partnerships and complex projects
About the Company
- Mantel is an Australian-owned IT Professional Services consultancy focused on emerging technology (AI, Digital, Cloud, Data & Security).
- We are a fully AI-enabled technology consultancy that bridges the gap between ambition and practical value delivery.
- Experienced remarkable growth across Australia & New Zealand since November 2017.
- Recognised as a Great Place to Work for 6 years in a row.
- Value curiosity and a growth mindset.
- We hire smart and talented people and get out of their way.
- Principle-based organisation with a flat structure and no hierarchy.
- Focus on five principles and avoid red tape.
Equal Opportunity
- 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 professionalism in alignment with our five principles.
- At Mantel, we value curiosity and a growth mindset just as much as technical skill—so if you’re excited about this role but don’t tick every single box, we’d still love to hear from you.