Senior Analytics Engineer

Senior Analytics Engineer ( SQL / Azure Data Factory / Databricks )
Sydney / Hybrid
$140-170k base plus super
  
  
Senior Analytics Engineer ( SQL / Azure Data Factory / Databricks ) is required to join a growing Insurtech with a global presence.
This ideal candidate will have a solid foundation in Data Engineering and will play a key role in developing and implementing greenfield data solutions that empower their clients to make informed, data-driven decisions.

This is a great opportunity to join a growing company at an integral time – helping to establish their presence in Australia and having complete autonomy over technologies, projects and delivery.
If you’re an experienced Data Engineer with a background in Analytics or Data Science, this could be for you!
  
Responsibilities:

• Design, build, and maintain data warehouses and ETL processes.
• Develop and implement robust data architecture to ensure data integrity and accuracy.
• Create and manage data engineering solutions, including data pipelines, data lakes, and transformation tools.
• Generate insightful reports and dashboards for stakeholders.
• Offer technical expertise and guidance to both team members and stakeholders.
• Collaborate closely with stakeholders to identify business needs and translate them into effective technical solutions.
• Stay current with emerging data technologies and provide recommendations to enhance existing systems.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 4-7 years of relevant experience.
• Proven expertise in building and developing data warehouses and ETL processes.
• Strong understanding of data architecture principles and practices.
• Experience in data engineering and data science.
• Proficiency in programming languages such as Python, Java, or SQL.
• Familiarity with data visualization tools like Tableau, Power BI, or Looker.
• Strong analytical skills to identify trends and patterns in complex datasets.
• Excellent communication and interpersonal skills, enabling effective collaboration with clients and team members.

  
Preferred Qualifications:

• Relevant certifications, such as Certified Data Management Professional (CDMP), Microsoft Certified: Azure Data Engineer Associate, or AWS Certified Big Data - Specialty.
• Experience with cloud-based data solutions, including AWS, Azure, or Google Cloud Platform.
• Knowledge of statistical modeling and machine learning.
• Strong project management skills, with the ability to juggle multiple projects effectively.
• Experience in the Insurance space would be a huge plus

  
If you’d like to apply for the above Senior Analytics Engineer ( SQL / Azure Data Factory / Databricks ) role, please click apply now or send your resume to Olivia@talentisights.com.au
  
Keywords: Analytics Engineer / Azure Data Factory / Databricks / Power BI / ETL / Data Science / Python /