Senior Data Engineer in Melbourne

Senior Data Engineer in Melbourne

Melbourne Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead data engineering initiatives and optimise data pipelines for impactful analytics.
  • Company: Dynamic insurance tech company focused on innovation and collaboration.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a supportive team with excellent career advancement opportunities.
  • Why this job: Make a difference in the insurance industry with your data expertise.
  • Qualifications: Hands-on experience with Amazon Redshift and strong SQL skills required.

The predicted salary is between 121500 - 148500 $ per year.

We are seeking an experienced Data Engineer Tech Lead with strong hands-on Amazon Redshift expertise and experience working within the insurance industry.

You will lead technical data engineering initiatives, build and optimise data pipelines, and deliver reliable data solutions that support business reporting and analytics.

The ideal candidate will combine strong technical capabilities with data modelling, performance optimisation and technical leadership experience.

Key Responsibilities

  • Design, develop and maintain scalable data pipelines and data warehouse solutions.
  • Develop and optimise Amazon Redshift queries, data structures and warehouse performance.
  • Build and maintain ETL/ELT processes and data integration workflows.
  • Apply data modelling, data quality and governance best practices.
  • Lead technical delivery, mentor engineers and collaborate with business stakeholders.
  • Support insurance reporting, analytics and business data requirements.

Essential Skills and Experience

  • Strong, hands-on commercial experience with Amazon Redshift.
  • Proven experience in the insurance domain.
  • Strong SQL, data warehousing and query performance optimisation skills.
  • Experience developing ETL/ELT pipelines and data integration solutions.
  • Experience in technical leadership, mentoring or leading data engineering delivery.
  • Experience with insurance claims data, claims reporting or claims analytics.
  • Personal injury, CTP or workers compensation experience will be highly regarded but is not mandatory.
  • Exposure to AWS services such as S3, Glue and other data integration tools.
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Senior Data Engineer in Melbourne employer: Renaissance Infosystems Pte Ltd

Renaissance Info Systems is an exceptional employer, offering a dynamic work environment in the heart of Sydney where innovation meets collaboration. With a strong focus on employee growth, we provide ongoing training and development opportunities, ensuring our team members are equipped with the latest skills in observability technologies. Our culture promotes responsiveness and teamwork, making it a rewarding place for professionals looking to make a meaningful impact in the IT recruitment industry.

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Contact Details:

Renaissance Infosystems Pte Ltd Recruitment Team

We think you need these skills to ace Senior Data Engineer in Melbourne

Python
SQL
Communication Skills
Data Engineering
Problem-Solving Skills
ETL/ELT Processes
Automation