21 Oct
|
Mantel
|
Melbourne
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 Great 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
Managed Services
Mantel Group’s dedicated Managed Services team provides support, engineering and maintenance across cloud, data and software engineer services for modern technology platforms. Our team is expanding our data managed services capability, and looking for a passionate Analytics Engineer to help build that area. The Analytics Engineer will work closely with Mantel Group’s Data team of 150+ data specialists to deliver, manage, support and continuously improve data solutions using a wide range of technologies, with the goal of transforming the way our clients experience data.
About the role
We are looking for an experienced data specialist to join our Managed Services team and help build our data managed services and support offering.
- Collaborate with clients to understand their data needs and provide technical solutions for data-related challenges
- Troubleshoot, maintain and enhance existing data platforms, ingestion pipelines,
and data infrastructure
- Design and implement solutions to improve data pipeline reliability and efficiency
- Implement and maintain monitoring and alerting systems
- Document technical solutions, troubleshooting procedures, and best practices
- Participate in on-call rotation to provide emergency support for critical production issues
- Be a point of escalation for high severity incidents as they occur
- Liaise with the managed services team, clients, technology partners and stakeholders to develop backlogs for continuous improvement
- Use professional judgement while treating colleagues and clients with respect and compassion, and a demonstrated ability to display our five Mantel principles
What you’ll need to be successful:
- Prior experience in a hands-on data role - either as a Data Engineer or in related roles such as a Database Administrator (DBA)
- Experience in production support environments with established SLAs
- Experience working on a range of data technologies to manage data platforms and pipelines
- Cloud platform and infrastructure experience
- Client-focused consulting skills, including the ability to understand client needs, translate business requirements into practical technical solutions, communicate clearly with technical and non-technical stakeholders,
manage expectations and build trusted client relationships
- Exposure to reporting and visualisation layers, using tools such as Power BI, Qlik, Tableau or equivalent
- Networking skills relevant to data platforms and cloud environments, including connectivity, DNS, security groups/firewalls and troubleshooting
- Data modelling experience across relational, dimensional/star-schema, data warehouse/lakehouse and/or NoSQL approaches
- Proficiency in implementing, supporting and developing several of the following tools and technologies:
- Data lakehouse technologies (such as Snowflake, Databricks, Redshift, BigQuery or Synapse)
- DevOps / source control / orchestration tools (such as Git, Azure DevOps,dbt or Airflow)
- Languages (preferably SQL, with python being nice to have)
- Passion for "learning on the job" and being hands-on across a range of evolving data technologies
- Excellent problem-solving skills with a focus on continuous improvement
- Strong attention to detail even while working across different clients
- Clear communication skills, both technical and non-technical
- Ability to take ownership and use good judgement to achieve positive client outcomes
- 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.
- You take ownership, always stepping up to help and prioritising your teammates. You're also a explicit, kind communicator who makes sound decisions based on good judgement.
What you can expect from us:
- We believe in unique
📌 Senior Analytics Engineer – Data Platforms (Melbourne)
🏢 Mantel
📍 Melbourne