Data Engineering Lead

1 week ago

Adelaide, South Australia beBeeData Full time $120,000 - $140,000

We are seeking a skilled professional to join our Data and Analytics division as a Data Services Specialist. The successful candidate will be responsible for integrating, formatting, and presenting relevant analyses and data visualizations to communicate results, findings, and recommendations to various business users.

About the Role

In this position, you will be a member of a chapter building the data and analytics platform. You will work alongside different functions to develop the data platform by understanding core system data structures, data processing architecture, and designing data pipelines. You will also collaborate closely with the data scientist team and technology function to engineer features required to support the development of machine learning models.

  • Design and develop scalable data engineering assets and feature engineering frameworks to support various business units and internal data science activities.
  • Expand data platform capabilities by identifying, sourcing, and integrating new data to resolve new data problems and challenges.
  • Identify, design, and implement process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
  • Peer review code, promote DevOps culture within the data services team, and implement solutions adhering to architecture best practices.
  • Develop ETL solutions using Python, Databricks, Spark, and Microsoft Azure Technology Stack to load data across multiple sources into the Data and Analytics platform.
About You

You will have proven experience in data management, solution designs, and delivery. Advanced communication skills, able to articulate, present, influence, and negotiate with key stakeholders. Knowledge and understanding of end-to-end data management lifecycle and data quality management. A flair for learning new data tools and best practices.

  • Solid experience using MS Stack: Microsoft SQL Server, SSIS, SSRS, SSAS, Power BI and SQL.
  • Experience working MongoDB, Graph databases, programming languages (R, Python, Spark ETL SQL VStudio), CI/tools (Bamboo, or similar), GitHub, Jira, and Confluence.
  • Passionate about learning new data tools and best practice.
  • Strong working knowledge of the end-to-end data management lifecycle and data quality management.
About Our Company

We are an international insurer that's building momentum towards realizing our vision of becoming the most consistent and innovative risk partner. We believe this is our moment – what if it was yours too?

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