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Tracsis is seeking a Senior Data Specialist (Scientific & Environmental Data) to lead data processes across the organisation in a hybrid Galway role. You will work on large-scale environmental datasets, shaping governance, quality controls and compliant data handling for research, policy and regulatory needs.
The role requires expertise in data engineering, modelling and a broad set of tools, with a focus on secure data lifecycle management and actionable insights through visualization and
Our talented people are creating the technology of the future.
From scheduling to maintenance to keeping people safe, 2.7 million people are helped by our software daily. Technology makes it possible; people make it happen and you could be part of that.
The Tracsis Group has grown rapidly, diversifying into related transport technologies, and successfully executing a strategy that has seen it make a total of seventeen acquisitions.
Today Tracsis is a leading provider of software, hardware, data analytics/GIS and services for the rail, traffic data and wider transport industries. The Group has c.550 permanent employees serving its growing customer base from offices in the UK, Ireland and the US.
We are seeking an experienced and highly capable Senior Data Specialist to lead and coordinate the development, management and continuous improvement of data processes across the organisation.
The ideal candidate will have experience supporting large-scale scientific or environmental data programmes, implementing data governance and quality management frameworks, and working with diverse datasets that inform research, policy, regulatory, operational or evidence-based decision making. Experience operating within public sector, research, government-funded or highly regulated environments, with an understanding of data stewardship, compliance and data quality principles, would be advantageous.
This is a senior technical role requiring expertise in data engineering, data modelling, database development and the design and management of data processes. The successful candidate will ideally have experience working within scientific, environmental, research, regulatory or other complex data-driven environments.
We’re guided by four core values that shape how we work and collaborate: