Company Overview
Company Overview Dataly Actuarial is a fast-growing consulting company that combines data and actuarial skillsets to help financial services companies across Australia and New Zealand. We are passionate about data, actuarial, financial services, and decision management. Our expert data team focuses on data process improvements, data migration, analytics, and management reporting. We support our clients by delivering data and AI solutions, thought leadership, technical expertise, business partnering, and backfilling functional vacancies where required.
About the Role
We're looking for a passionate and skilled Data Engineering Lead to join our growing data team. You will combine your technical leadership, client advisory and project oversight to design and deliver solutions across our data projects. We value technical excellence paired with strong consulting skills and a focus on building client partnerships. The role involves both hands‐on technical execution and strategic oversight, solution design, stakeholder management, mentoring and internal contributions. Strong communication is key, as you'll translate complex technical concepts into actionable business insights, ensuring successful outcomes and informed decision‐making for our clients.
Responsibilities
Engage with key client stakeholders to gather and translate business requirements into technical specifications
Design, build, and maintain scalable data pipelines for batch and real-time processing.
Develop and optimise ETL/ELT processes using tools like Apache Airflow, dbt, or custom scripts.
Ensure data quality, integrity, and governance through automated testing and validation.
Mentor junior engineers and contribute to team development.
Support proposals, pitches, and the growth of our data engineering offering
Contribute actively to Dataly Actuarial's professional development by sharing your data knowledge Experience and Qualifications
Experience and Qualifications




A prerequisite for all applicants is the right to live and work in Australia or New Zealand.
5+ years of data engineering experience
Proven capability to lead, manage, and develop teams of data professionals.
Strong ability to advise clients and recommend data solutions aligned with industry best practices.
Skilled in managing projects, aligning expectations with senior stakeholders, and identifying when escalation is required.
Advanced SQL and one or more programming languages (e.g. Python, Scala, R).
Experience with data warehousing/datalake/lakehouse tools (e.g., Snowflake, Databricks, Microsoft Fabric, Google Cloud Platform)
Hands‐on experience with ETL tools, orchestration frameworks, & data modelling (e.g., dbt, Airflow, medallion architecture).
Excellent verbal and written communication, in particular the ability to relate to senior management, colleagues, and client
Collaborative, detail‐focused self‐starter with robust analytical & problem‐solving abilities.
Acts professionally, ethically and with integrity, leading by example.
Willingness to help, teach and support team members.
Culture
We want to create a work experience that is supportive, inclusive and respectful; that develops the skills and tools for your professional and personal growth. With an excellent team to support you, and guided by our values, we in turn look to provide positive outcomes for our clients.
Benefits
Market competitive remuneration package
Flexible working arrangements
Parental leave
Career development opportunities
Work in a friendly, caring, and dynamic team environment
Diversity of experience working on different projects for different clients
Equal Opportunity
Dataly Actuarial is committed to creating a diverse and inclusive workplace. All suitably qualified applicants will receive equal and fair consideration for employment. Applicants who identify as Aboriginal and/or Torres Strait Islander are actively encouraged to apply.
Background Checks
All potentially successful candidates will be required to complete background checks which will include a police clearance prior to confirmation of employment.
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📌 Managing Consultant - Data (Sydney)
🏢 Rashi Joshi
📍 Sydney