Senior Data Engineer

About us

Mantel is an Australian-owned IT Professional Services consultancy, focused on emerging technology to helpadvance our clients by leveraging AI, Digital, Cloud, Data & Security technology. We are a fully AI-enabledtechnology consultancy and the partner that bridges the gap between blue-sky ambition and practical steps todeliver 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 flatstructure with no hierarchy. By focusing on our five principles and not getting caught up in red tape, we trust youto get the job done

Data

Working in data at Mantel means there are opportunities to align to a particular cloud platform or remain cloud agnostic.

Our teams are made up of awesome people who specialise in numerous areas of data so there are endless opportunities for you including data engineering, machine learning, data analytics and data science.

Your day-to-day

- Work on more complex solutions, extending beyond building robust features, to meet and exceedclient expectations.

- Be a technical expert/SME in at least one data engineering area, while adopting new technologies.

- Continuously grow skills and keep certifications current to demonstrate deep technical expertise.

- Productionise AI models by building and monitoring high-performance data pipelines for batch orreal-time data.

- Build and deploy data lakes and data warehouses on cloud platforms (AWS/Azure/GCP).

- Develop complex code-based ETL/ELT data pipelines with performance optimised data modelling.

- Work on BigData processing including handling PII, data formatting, wrangling, and preparation.

- Apply best practices in coding, monitoring, alerting, CI/CD, IaC, and cloud architectures.

- Lead small teams or operate as the senior technical person, working collaboratively in diverse teams.

- Work with project leadership to define scope, align expectations, manage dependencies, and mitigaterisks.

- Help identify potential opportunities within projects and client relationships.

- Participate in events to raise awareness of Mantel Group’s Data capability and build communityrelationships.

- Train, coach, and mentor others through on-the-job teaching, tutorials, and presentations.

- Use professional judgement, treating colleagues and clients with respect and compassion

What you’ll need to be successful

- Expertise in a broad range of data engineering approaches, covering theoretical best practices and thetechnical applications of these methods

- Demonstrable experience building and deploying data engineering pipelines into production, includingusing automation best practices for CI/CD

- Proficiency in data languages: SQL and at least one of Python or Scala, or if you have both that’sawesome

- Hands‑on experience with modern cloud and its native development tools, e.g. AWS/GCP/Azure,Databases, CI/CD, Airflow, etc.

- Have previously worked on medium to large scale data engineering projects

- Experience delivering engagements for clients

- 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 MantelGroup and our clients

- Understanding of how data teams work and the challenges that they face

- At Mantel, we want you to be yourself. We trust our team members to use their professional judgmentwhile treating colleagues and clients with respect, compassion, and professionalism in alignment withour five principles.

- You take ownership, always stepping up to help and prioritising your teammates. You're also a clear,kind communicator who makes sound decisions based on good judgement.

What you can expect from us

- You’ll get all the tools you need to hit the ground running including a new phone, laptop & swag.

- We believe in unique experiences for all. Our My Deal program allows you to tailor your yearly plan,with the support of your Leader, to decide on what’s most important to you. That might be extraprofessional development, extra annual leave, time to work on your side hustle, or something elsecompletely different One size does not fit all.

- A true investment in your AI-first career. We are a fully AI-enabled consultancy and provide you withthe tools to lead. This includes access to the Mantel AI Gateway, our secure, centralised platform withmultiple AI models, plus a dedicated monthly budget and a safe environment to experiment andinnovate.

- You’ll be genuinely supported by an organisation that cares about not only you but your family as well,Mantel offers Flexible Personal Leave options for those unplanned moments in life.

- We support a flexible hybrid approach to working which is guided by our principles; we trust eachother to “make good choices” about the best workplace locations for the requirements of the project,role and client. This can change based on our client needs.

- We know you won’t have one job for life. At Mantel, we believe in supporting our team to take theircareer in a direction that aligns with their passions. We have internal opportunities across Cloud, Data,Digital, Delivery & Security.

- Our elite partnerships are a direct result of our deep platform mastery. For you, this means you'll beworking alongside teams with the highest levels of technical expertise and tackling the most complex,high-profile projects on the market. Check out our partner awards and recognitions here.

- Mantel is a certified Family Inclusive Workplace, which means we are committed to improving yourwellbeing at work through leading practices on flexible work, parental leave, family care and familywellbeing

Click ‘Apply for this job’ to be considered for this role and our Talent team will be in touch.

We value a diverse workplace and strongly encourage people from all backgrounds and minority groups to apply.

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