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    Data Engineer - Sydney, Australia - Finity

    Finity
    Default job background
    Permanent / Full time
    Description

    Data Engineer (Consultant / Internal)

    Finity Consulting is Australia's largest independent actuarial and analytical consultancy and a leader in developing data-driven insights.

    We work with large and niche insurers and government agencies using best-practice analytics and cutting-edge techniques to deliver world-class advice.

    Powered by smart, results-orientated people, we provide our team with diverse opportunities to develop their skills and grow their careers.



    Working with us
    We thrive on a dynamic, non-hierarchical structure where everyone respects and engages as professional peers.

    We are proud to say that some of the industry's leaders are part of our team, and they take as much interest in developing our people as delivering outstanding client solutions.



    About the role

    We are seeking a data engineer to join our data team and work with consultancy (client-facing) and internal projects.


    Key responsibilities:


    • Working directly with external clients to deliver outcomes within the advisory and consultancy projects
    • Working with the internal business and technical teams to interpret data and resolve data issues
    • Implementing and supporting data workloads (ETL/ELT) using modern technologies such as Snowflake, Azure (Data Factory, Key Vault, Storage Accounts, etc.), Databricks, and dbt.
    • Supporting our internal software developers, data analysts and data scientists on different data products and initiatives
    • Creating internal solutions and frameworks to automate processes and implement best practices, standards, and patterns
    • Implement dashboards and reports
    About you
    To be successful in this role, you will need a desire and passion to work with the data


    You'll have:


    • Understanding of data warehouse and data lake concepts
    • Experience working with some of our tech stack (Microsoft Azure Data, Snowflake, Databricks, and dbt)
    • SQL knowledge and experience working with relational databases
    • Python knowledge is desirable
    • Experience implementing and supporting ETL / ELT
    • Experience in data profiling, data analysis and data modelling
    • Data visualisation/analysis using Power BI is a plus
    • Experience with CI/CD and Infrastructure as a Code (Terraform) is a plus
    • Problem-solving and self-learning skills
    • Self-motivated, capable of taking the initiative and contributing to the team

    Working Arrangements
    Hybrid work (3 days in the office) based in The Rocks, Sydney, NSW.
    Full working rights in Australia.


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