Data and Analytics Engineer

1 week ago

Sydney, New South Wales, Australia SG Fleet Full time
WHO WE ARE WHO WE ARE
We are a financial services company that specialises in fleet management, vehicle leasing and salary packaging, with a presence across Australia, the UK and NZ. A total portfolio under management of $2.5 Billion and over 1200 employees.

SOME OF OUR PERKS INCLUDE
  • Recharge and relax with up to four extra days of leave each year. We call them Wellness days
  • We offer industry leading 20 weeks paid parental leave
  • Save plenty with vehicle salary packaging
  • Monetary service milestone awards
  • Recruitment referral bonus
  • Discounted mobility products and services
  • Flexible work arrangements
  • Career progression opportunities
  • Education support towards your growth, including an individual learning budget per year, free access to LinkedIn Learning and more
  • Two paid volunteer days each year to give back to causes that matter to you
  • Health and well-being support including a subsidy and an innovative Employee Assistance Program
As a Data and Analytics Engineer
 You will deliver end-to-end data and analytics solutions to achieve business outcomes focusing on delivering customer value and operational excellence.
  • Working with business and technical stakeholders to understand requirements relating to data and analytics initiatives with a focus on delivering business outcomes
  • Designing, developing, testing, documenting, and maintaining data models, reports, and dashboards that meet business needs and requirements
  • Designing, developing, testing, documenting, and maintaining data pipelines across a range of technologies that extract, load, combine and transform data from a range of internal and external sources
  • Understand and implement data governance requirements that support data and analytics solutions including security, data quality, data classification, trustworthiness, and re-usability
  • Collaborating with technical and non-technical stakeholders through a range of forums including but not limited to team members within cross functional delivery teams, data and analytics practice group, and the data and analytics platform team
Essential
 Technical Skills:
  • T-SQL, SQL Server, Databricks, PySpark, SSRS, and Power BI.
  • Familiarity with data and dimensional modeling and other related data tools and platforms.
  • Exposure to Lambda and Kappa architecture stacks.
  • Hands-on experience building Data Streaming solutions using technologies like Apache Kafka, Azure Event Hub, Confluent, and Apache Flink.
  • Building and optimizing data pipelines, data models, reports, and dashboards.
  • Working with a broad set of Azure services related to Data and Analytics, including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Synapse Analytics.
  • Handling large and complex datasets.
Soft Skills:
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Familiarity with Agile methodologies and tools.
Desirable
  • Experience in software development and object-oriented design (.Net, Python, JavaScript)
  • Experience with DevOps processes and practices (CI/CD, Infrastructure as code)
  • Data science skills and experience, AI/ML, Statistical analysis
  • Previous experience using Atlassian tools (Jira, Confluence, Bitbucket)
  • Experience with Data Replication technologies

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