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 /