• Design and build efficient & reliable data pipelines, cleanse, and normalize diverse datasets for Analytics.
• Troubleshoot and resolve problems of data services that support business & applications systems and provide solutions to proactively prevent problems from happening.
• Create and manage knowledgebase, access controls, deployment pipeline architecture and infrastructure related to Data Platform.
• Help drive transformation by continuously looking for ways to automate existing processes and optimize for efficiency and data quality, redesigning infrastructure for greater scalability, etc
• Represent team as a subject-matter expert for strategic projects and contribute to end-to-end data architecture solutions.

• Customer-centric: You define and measure success through the eyes of your internal customers and anticipate, understand and respond to their evolving needs. Demonstrate strong follow-through and consistently keep commitments to members and team.
• Results-oriented: You have a demonstrated ability to engage stakeholders to elicit requirements, analyze findings, generate appropriate solutions, and build deliverables all while securing the team's commitment to these solutions.
• Technology savvy: You have education and/or experience supporting technology development/implementation efforts.
• Curious & innovative: You always do your research and analysis to assess and recommend a course of action based on industry, political and economic trends, you can identify risks and opportunities that may impact the business unit and or designated area.

• Bachelor's Degree in Computer Science or a related technical discipline.
• 8+ years of industry experience in Data Engineering or related field handling data processing and transformation of disparate datasets
• Experience with big data and analytics programming languages such as Python, R, Spark in Databricks
• Experience with batch and real-time processing frameworks (EventHub, Apache Spark, Apache Kafka, etc.)
• Experience providing technical team leadership and mentorship to the team
• Experience working with business stakeholders to gather/understand requirements
• Full stack development experience outside of a data platform, previous full-stack or back-end developer who now specializes in data
• Willingness to work in a highly flexible environment with multiple competing priorities.
• Proven ability to innovate and adapt to the latest development in area of expertise. Ability to adapt and grasp new skills and content.

• Experience in design and implementation of data integrations in Azure data stack such as Azure Data Lake, Azure Data Factory, Azure Databricks, EventHub.
• Exposure to DevSecOps practices to incorporate security first principles.
• Good understanding of data storage, data mapping and modelling, real-time data handling

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.