Senior GCP Data Engineer at Mantel

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, BigQuery, Dataflow, DataFusion, Pub/Sub, Composer (Airflow), CloudSQL, Cloud Functions, GCS, ETL/ELT, Data Modelling, BigData Processing, PII Handling, Python, SQL, Java

Industry

IT Services and IT Consulting

Description

About us Mantel is an Australian-owned technology consulting business with capabilities across Cloud, Digital, Data, Delivery & Security. 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! 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. About the role Work on complex data solutions that meet and exceed client expectations. Building and deploying data lakes and data warehouses on GCP using services including BigQuery, Dataflow, DataFusion, Pub/Sub, Composer(Airflow), CloudSQL, Cloud Functions and GCS Develop complex code-based ETL/ELT data pipelines with performance optimised data modelling. Work on BigData processing - handling PII, data formatting & wrangling, data preparation. Apply best practices in coding, monitoring and alerting, using CI/CD, IaC and cloud architectures. Be a technical expert in at least one data engineering area, while adopting new technologies along the way. At times, 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. Participating in events to raise awareness of Mantel Group’s Data capability and building relationships in the community. Helping to train, coach and mentor others within the team through on-the-job teaching, tutorials, hands-on training, presentations and other similar activities. You will thrive in this role if you have: Expertise in a broad range of data engineering approaches, covering theoretical best practices and the technical applications of these methods Hands-on experience with GCP and its native development tools Demonstrable experience building and deploying data engineering pipelines into production, including using automation best practices for CI/CD Good level of Python and SQL skills is required. One or more of either Java, Scala or NodeJS is welcome. 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 Mantel and our clients Understanding of how data teams work and the challenges that they face What you can expect from us 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 extra professional development, extra annual or parental leave, time to work on your side hustle, or something else completely different! One size does not fit all. You’ll get all the tools you need to hit the ground running including a new phone, laptop & swag. A true investment in your AI-first career. We are a fully AI-enabled consultancy and provide you with the tools to lead. This includes access to the Mantel AI Gateway, our secure, centralised platform with multiple AI models, plus a dedicated monthly budget and a safe environment to experiment and innovate. 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 each other 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. Mantel is a certified Family Inclusive Workplace, which means we are committed to improving your wellbeing at work through leading practices on flexible work, parental leave, family care and family wellbeing We know you won’t have one job for life. At Mantel, we believe in supporting our team to take their career in a direction that aligns with their passions. We have internal opportunities across Cloud, Data, Security and Digital. Our elite partnerships are a direct result of our deep platform mastery. For you, this means you'll be working 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. 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.

Responsibilities

The role involves building and deploying complex data lakes and data warehouses on GCP utilizing services like BigQuery and Dataflow, while developing performance-optimized, code-based ETL/ELT data pipelines. Responsibilities also include acting as a technical expert, leading small teams when necessary, and collaborating with project leadership to define scope and mitigate risks.