Manager, Data Engineering – Scholarly Publishing
Competitive salary + benefits + bonus
A publisher specialising in academia and research, with a highly successful growth track record in the past decade, is currently seeking to hire a Data Engineering Manager. The role involves overseeing a large Data Engineering team to develop data analytics solutions, driving team performance, managing competing business and tech priorities, establishing scalable technological roadmaps with business partners, and working on both strategic and tactical levels to mentor, coach and lead the engineering resources.
Lead multiple teams to build enterprise scale data and analytic solutions
Manage direct reports to ensure that performance and goals are aligned with product and department goals and communicate company and strategic department objectives to the team
Accountable for recruiting and building a high performing team of internal and contract data engineers for investment initiatives to help realize the intended business benefits
Managing the delivery of scalable data and analytics solutions
Working with architectural resources, provide architectural design guidance on new features that fit well with the existing platforms
Ensure the development and maintenance of technical specifications, outline steps, flowcharts, and timetables for the development of programs, databases, and reports
Lead data engineering strategy on documentation, processes, and governance to better standardise the Data Engineering function to continually improve data delivery
Provide data engineering expertise and direction in partnership with software engineers, product managers, and data scientists to build data architecture that drives insights
Lead a culture of transparency and agile ways of working within and across teams
Responsible for security and privacy standard practices and ensuring that security is embedded in each activity in alignment with company goals.
Manager, Data Engineering: Skills/experience
Extensive experience in areas of resource management, team building and leadership
Significant experience/background in developing data and business intelligence solutions
Highly literate in SQL Server 2016 and above
Experience in leading and driving Agile delivery methodology and practices
Demonstratable experience of developing relationships and positively influence key, strategic position holders across global locations and different functions
Experience delivering cloud-based data services (Azure strongly preferred)
Experience using tools such as SSIS, Azure Data Factory, Spark, or comparable data integration tools
Ability to assess, measure, and verify a variety of ideas and strategies and synthesize into an actionable technical roadmap
Broad, deep technical knowledge and experience with a passion for data engineering and the exploration of innovative technology.
A competitive salary, bonus, and benefits package is offered.
How to apply
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Early applications are preferred.
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