Data Engineer

We are currently seeking an experienced Data Engineer for our Sydney office to focus on business intelligence and analytics solutions for the life science industry. This is a unique opportunity for a passionate data engineering expert to help our customers in sales, marketing and commercial teams make informed data driven decisions across a vast array of data sources. You will bring proven experience and data engineering capabilities to design and develop end to end processes to support BI and analytics solutions. 

Key Responsibilities:

• Gather client functional and technical requirements
• Capable of working with client to develop a strategy that supports current and future needs
• Design, develop and implement data marts / data warehouses to solve specific business requirements and enable reporting and analytics
• Establish development standards and establish quality processes to deliver stable and reliable solutions
• Validate that the design and end solution meet the specified requirements
• Work closely with the Project Manager to ensure the customer expectations are managed effectively
• Provide estimates for sales opportunities that are realistic and achievable.
• Mentoring of junior consultants
• Work with service & support team to resolve escalated operational issues

• Assist with business development activities, reviews and analyses client requirements/problems and provide appropriate data engineering solutions.

Key requirements:   

• Bachelor’s degree with 5-8 years of related experience in consulting and life sciences industry,
• Proven experience identifying and deploying process improvements                                           
• Bring deep expertise in data engineering tools & techniques in translating business needs into data data management and data engineering requirements.
• Excellent experience with business intelligence, data warehouses, and advanced analytics. In-depth understanding of data management; data modelling methodologies and concepts such as Kimball, Data Vault and so on.
• Strong core SQL skills, especially when it comes to developing and performance tuning complex reporting queries
• Excellent knowledge of data profiling, data quality management, data extraction, data transformation, and data load – the concepts and technology
• Work experience & certification (well regarded) with ETL toolset such as SSIS and Other ETL Tools
• Relational database experience such as SQL Server, Oracle, etc.
• Recent experience working as a designer/consultant/ senior developer with ETL tools on large and complex data sets involving – BI, MDM, DW, Data Lake, and Bigdata.
• Database release control process and deployment using source control TFS.
• Effective communication skills with the ability to collaborate well with stakeholders, business and technical skills with good communication and stakeholder management skills
• Ability to influence and engage and build effective relationships at all levels internally and externally
• Analytical mindset with strong problem-solving skills

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 67,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.