Senior Analytics Engineer

vor 1 Monat


Sydney, Österreich Talent Insights Vollzeit

Greenfield projects, complete autonomy Modern tech stack: Databricks, Azure Data Factory, Python, ML and LLM Hybrid, flexible working with senior leaders in the data space 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 ******    Keywords: Analytics Engineer / Azure Data Factory / Databricks / Power BI / ETL / Data Science / Python /



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