Whether you’re working from home or on your way to the office, chances are you’re probably reading this because you’re seeking a new adventure, or you’re up for a new challenge. GROW Inc might just be that for you!
So, who is GROW Inc?
Founded in 2016, we’re the Australian FinTech success story you probably haven’t heard about. We’re solving big problems in the Superannuation and Managed Funds industry. The administration platforms (the software that tracks everything to do with your super) are built on things you or your parents would recognise from the glory days of 90’s computing.
How are we doing it?
We’re solving this by disrupting the wealth management industry with DLTA, our platform built on Distributed Ledger Technology which improves the financial wellbeing of Australians. We’re making Super more timely and information more accessible whilst enabling wealth management companies to offer more cost effective solutions.
We’re rebels with a cause. We’re authentic, diverse, and embrace our differences as we continue to put a dent in the universe. We know diversity of thought helps us to build better solutions for our customers which is why we encourage the entire GROW team to bring their whole selves to work each and every day.
Engineering @ GROW Inc
We are passionate technologists with an appreciation for clean code and fault tolerant systems. Our team is distributed across Australia and the Philippines, with engineers collaborating across regions. We believe in leveraging different perspectives and backgrounds because that makes our team and product stronger.
We look for teammates who are:
Curious and aim to understand things deeply.
Advocates for best practice.
Respectful and inclusive.
Comfortable sharing the grunt work.
Key Responsibilities:
As a Senior Data Engineer you will:
Design, build and own a scalable data platform and pipelines which empowers our internal teams to self service their data needs.
Write clean code and unit tests, perform code reviews, produce documentation and take the lead in solving complex technical challenges.
Setup builds and infrastructure that allows for stress-free deployments and releases.
Use a data-driven approach to decide if new infrastructure or services need to be added.
Design and execute experiments on new technologies and use of data, including documentation of results.
Contribute to the continuous improvement of our data quality framework.
Contribute to automated regression, performance and resiliency testing.
Mentor less experienced engineers in best practice.
Help grow the engineering team through interviews and code reviews.
A healthy curiosity, autonomy and a strong sense of accountability.
Strong desire to perform and grow as an engineer.
Demonstrated technical initiative and a penchant for clean code.
6+ years of experience designing, building, deploying and scaling data platforms.
Extensive knowledge of:
Cloud architecture principles.
Stream and batch processing architectures and frameworks.
Relational and NoSQL databases.
Data warehousing concepts.
Fluency in SQL, Python and Java.
Strong experience with Databricks PySpark or SparkSQL.
Strong experience with building data models with dbt.
Experience working with cloud platforms like AWS, GCP or Azure.
Experience working with containerisation tools such as Docker and Kubernetes.
Experience working with observability tools like Prometheus and Grafana.
Experience working with Infrastructure as Code tools such as CloudFormation or Terraform.
Nice to have
Experience in the Superannuation industry.
Experience in Machine Learning, MLOps and Generative AI.
Why you’ll love working at GROW
Looking for a job can be stressful and we don’t want you agonising over the wording of your cover letter, so don’t include one. Just make sure your CV is well-written and detailed enough so we can get a better idea of the type of person you are. Even if you don’t meet every single requirement, but you feel inspired to join our mission, we encourage you to send in your application. You never know, you could be the perfect person to join our team!
We are a 2024 Circle Back Initiative Employer – we commit to respond to every applicant
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MG Info | Analytics and Data Culture
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