Lead Data Engineer at Wisr

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Team Leadership, Apache Airflow, Dbt, Azure Data Factory, Snowflake, SQL, MLOps, Generative AI, Data Governance, Python, Cloud Infrastructure, CI/CD, Problem Solving, Continuous Learning, Communication

Industry

Financial Services

Description

Wisr is committed to building a supportive, inclusive and diverse workplace, and we strongly encourage applications from all backgrounds and identities. We’re happy to accommodate any reasonable adjustments to the interview process to ensure equal opportunity for all. If you require reasonable adjustments, please reach out to us via careers@wisr.com.au. Our Why, What and How We are a proudly purpose-led ASX-listed fintech on a mission to power peoples’ progress and make a real difference in the world, starting right here in Australia. By building products and experiences designed to have a positive impact on the financial health and lives of our customers, we are inching ever-closer to achieving our purpose. We offer smarter, fairer loans that help people kick their goals sooner, a nifty round up tool to help people get out of debt and save even faster, and a dashboard that helps people track and improve their credit scores. The better we do this, the more positive change and impact we can have on our customers. Now is the time to join one of Australia’s fastest growing fintechs and make an impact. We are a people first business and value flexibility as part of our work - our team work in a hybrid working environment, 3 days per week in our beautiful office space. About the Role We’re looking for an experienced Lead Data Engineer to join the team in a key Leadership role, as part of our Analytics team. This role will be responsible for architecting, building and evolving our world class data platform that services the entire organisation. As a hands-on technical leader, you will lead a high performing team of Engineers in solving business problems backed by a reliable and modern data platform. A core part of the role will be to drive the development of data models and pipelines, implement MLOps best practices and ensure data governance across analytics and AI initiatives. You’ll blend strategic thinking and vision for Data with a hands-on, detail-oriented approach, requiring deep expertise in modern data engineering, cloud infrastructure, and emerging technologies such as Generative AI. What you’ll do: • Lead the design, development, and maintenance of scalable data pipelines using Apache Airflow, dbt, and Azure Data Factory. • Architect and optimise our Snowflake data warehouse, including schema design, performance tuning, and cost management. • Implement and enforce data governance policies, including data masking, role-based access control, and compliance with regulatory standards. • Drive MLOps initiatives: model deployment, monitoring, retraining pipelines, and integration with CI/CD workflows. • Collaborate with cross-functional teams to operationalise ML models, including Generative AI solutions, into production systems. • Partner with the Platforms team to oversee infrastructure-as-code deployments using Pulumi, Docker, Kubernetes and cloud-native services (Azure, AWS). • Lead, coach and guide a team of engineers, fostering a culture of best practices in coding, testing, and documentation alongside a culture of continuous learning and psychological safety. • Partner with stakeholders across the business such as Operations to translate business requirements into technical solutions. What you’ll bring • 7+ years experience in data engineering, with at least 2 years experience leading a team, ideally in a fast paced, high growth environment. • Strong proficiency in Apache Airflow, dbt, and Azure Data Factory. • Expertise in Snowflake, including advanced SQL, performance optimisation, and security features. • Experience with real-time data processing (Apache Flink, Kafka). • Proven experience with MLOps tools and frameworks (MLflow, Kubeflow, or similar). • Hands-on experience deploying and integrating Generative AI models (OpenAI, Hugging Face, or similar). • Solid understanding of data governance frameworks and compliance requirements (GDPR, CCPA). • Proficiency in Python and SQL; familiarity with PySpark or other distributed processing frameworks is a plus. • Experience with cloud platforms (Azure, AWS) and infrastructure-as-code tools (Pulumi, Terraform). • Strong CI/CD skills with Azure Pipelines or equivalent. • Excellent communication skills, with the ability to interact effectively with technical and non-technical stakeholders • Strong problem solving skills, with a continuous learning mindset. Preferred Qualifications: • Familiarity with analytics tools and BI platforms. \n \n Some of Our Perks & Benefits • Flexible and hybrid working • $500 every year to spend on your wellbeing • Take an extra Annual Leave day off on us every financial year, with A Day on Wisr • Access via WHEREFIT to discounted gym memberships, corporate discounts for wellbeing products and more! • Generous paid parental leave to support your transition to parenthood • Regular social events and awesome team offsites • Access to our Employee Assistance Program, Uprise with up to 6 coaching sessions per year Working at Wisr As a purpose-led organisation on a mission to power peoples’ progress towards what matters to them, we truly believe in what we do and every person who joins our team plays a part in our success. By practising what we preach (hello, $500 wellness reimbursement, 1:1 coaching via Uprise and access to learning tools!), you are empowered to own your role, your development and the space that you play in. We value psychological wellbeing and safety, fostering a high-performing culture which enables continuous learning and growth. Our hiring and interviewing process is designed for you to showcase your experience, skills and passion and take great pride in not just ‘ticking a box’. If this role resonates with you, we want to hear from you. Wisr Values • Courageously ask, “What if?”: We challenge the status quo, and we know that decisions that make us smarter, stronger, faster, more innovative always start with a “What if?”. • ❤️ for the customer: Our internal and external customers are at the center of everything we do. We genuinely have their best interests at heart. • Smarter parts together: We believe the real magic happens when we bring together the right mix of Smart Parts and work as a team. • Be a stunning colleague: It’s not just about excelling in our roles, but also going the extra mile to make our colleagues and Wisr shine too. • Growth over comfort: We love learning, and we always find opportunities to learn something new whether it is facing a fear or pushing through something uncomfortable to level up. We are dedicated to creating an amazing candidate journey for every applicant. There's no 'shouting into the void' here. We're committed to responding to every single applicant.

Responsibilities

The Lead Data Engineer will architect, build, and evolve the data platform that services the entire organization. This role involves leading a team to solve business problems using a reliable and modern data platform.