Data Engineer - Zeller - Job details

Data Engineer at Zeller

Data, Melbourne melbourne engineering

Description

Posted 7 days ago

About Zeller

At Zeller, we’re champions for businesses of all sizes, and proud to be a fast-growing Australian scale-up taking on the ambitious goal of reimagining business banking and payments.

We believe in a level playing field, where all businesses benefit from access to smarter payments and financial services solutions that accelerate their cash flow, help them get paid faster, and give them a better understanding of their finances. So we’re hard at work building the tools to make it happen.

Zeller is growing fast, backed by leading VCs, and brings together a global team of passionate payment and tech industry professionals. With an exciting roadmap of innovative new products under development, we are building a high performing team to take on the outdated banking solutions. If you are passionate about innovation, thrive in fast-paced environments, embrace a challenge, hate bureaucracy, and can’t think of anything more exciting than disrupting the status-quo, then read on to learn more.

Job Description
As a Data Engineer you will be responsible for developing and implementing our data strategy - which spans engineering, analytics and science across all our capabilities - from marketing through to risk management. While you will have primary responsibility for data engineering related projects and tasks, you should be comfortable with working cross domain, and contributing to our analytics and science capabilities. You will be familiar and comfortable with engaging with financial services products and understanding their data and monetary flows. You are comfortable working cross functionally, internally and externally driving projects and providing insight, staying multiple ‘moves’ ahead of where we are.

Responsibilities

Engineering

Design, develop, and maintain robust data pipelines and workflows to support analytics and machine learning.

Build and optimise data platforms using Databricks for large-scale data processing and analysis.

Develop and maintain data models and transformation workflows using dbt.

Automate workflows and orchestrate data pipelines

Collaborate with data scientists and machine learning engineers to deploy ML models into production environments.

Monitor and troubleshoot data pipeline performance and resolve technical issues.

Ensure data quality, consistency, and security across platforms.

Analytics

Write efficient and scalable queries in SQL to transform and analyse data.

Guidance and selection of quantitative and qualitative methodologies in business decisioning

Science

Contribution to development and implementation of Zeller’s Machine Learning approach across all business applications and domains - from pricing to risk management and beyond.

This will include, developing and training machine learning models to scale workflows for both customers and internal usersSupport new product development ideas by providing guidance on the best use of AI/ML to develop products or supporting tools.

Qualifications and experience

5+ years of experience in BI / Data Science in a high growth environment

Strong mathematical & numeracy skills

Extensive experience in SQL, noSQL, Python

Understanding of ETL framework and ETL tools including dbt, AirByte, Apache Airflow

Excellent analytical skills - the ability to identify trends, patterns and insights from data

Experience with ML / AI models and their application to business problems such as churn, cross sell, risk assessment and other

Experience with real-time data streaming technologies (e.g., Kafka or Spark Streaming).

Knowledge of DevOps and CI/CD practices for data pipelines.

Strong understanding of ETL/ELT processes and data integration techniques.

Knowledge of machine learning workflows, including data preparation and model deployment.

Experience with version control systems like Git.

Experience in using data orchestration and/or data quality monitoring tools would be bonus

Your attributes

Loves challenging the status-quo

Ability to work autonomously yet collaboratively

Strong attention to detail

Structured problem solving skills and comfortable with ambiguity

Be able to continually balance speed, perfection, and actionable outcomes from your analysis

How we work
Our team thrives on the energy of being together. While technology connects us virtually, we love the in-person collaboration and spend majority of our work week at our spacious (and fully stocked with snacks) Melbourne CBD office.

Like the rest of the team, you’ll benefit from

A competitive salary package, including equity from an early stage;
A balanced, progressive, and supportive work environment;
Excellent parental leave and other leave entitlements;
A fantastic office environment;
Endless learning and development opportunities;
Plenty of fun and social opportunities - we love to come together as a team;
An ability to influence and shape the future of Zeller as our company scales both domestically and globally;
Being part of one of Australia’s most exciting scale-ups.

At Zeller, we are looking for passionate people with drive and integrity. You are encouraged to apply even if your experience doesn’t exactly match this job description.