Senior Data Consultant - Intelligent Infrastructure & Data Systems
Role details
Job location
Tech stack
Job description
- Contribute to the design and lead tasks within delivery of data engineering, analytics, and reporting solutions across varied domains.
- Collaborate with clients, partners, and supply chains to tackle technical and operational challenges.
- Explore and model data from diverse sources-transport, spatial, environmental, and operational-to uncover insights.
- Shape data strategies and roadmaps, and design solutions that align with client goals.
- Provide technical assurance and act as a trusted advisor across projects.
- Contribute to proposals and help shape delivery plans in multi-disciplinary environments.
- Champion data excellence across our team and global networks, mentoring others and sharing best practices., We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme.
Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package.
Flex your time
To enhance work-life balance, WSP offers the WSP My Hour, allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day.
We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you.
Requirements
- Degree or equivalent experience in a relevant field.
- Proven ability to deliver technical tasks independently within data projects.
- Strong client-facing skills: requirements gathering, presenting insights, facilitating solution testing.
- Experience conducting discovery activities and engaging stakeholders at all levels.
- Analytical mindset with a creative approach to problem-solving.
- Proficiency in tools like SQL, Python, Azure and Power BI.
- Experience with spatial data analysis, GIS tools, and working with varied datasets (e.g., sensor data, operational data, public service data).
- Understanding of data management and governance best practices, along with familiarity with documentation standards.