At a Glance
- Tasks: Manage roadside monitoring data and create impactful GIS visualisations.
- Company: Gravity Engineering Services, a leader in innovative engineering solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for skill development.
- Other info: On-site role with a rotating schedule for flexibility.
- Why this job: Join a dynamic team and make a difference with your data skills.
- Qualifications: Experience with SQL, Python, and GIS software is essential.
The predicted salary is between 30000 - 40000 Β£ per year.
Gravity Engineering Services Pvt Ltd. is seeking a professional in Cumbernauld, UK to manage the central asset database for roadside monitoring. The role involves data validation, SQL and Python scripting for reporting, and producing GIS visualisations for decision making.
Candidates must have experience with relational databases, strong Python scripting skills, and familiarity with GIS software. The position supports a hybrid work model and requires on-site participation in a rotating schedule.
Traffic Data & GIS Specialist (ETL, SQL, Python) β On-site in Cumbernauld employer: Gravity Engineering Services Pvt Ltd.
Gravity Engineering Services Pvt Ltd. is an excellent employer that fosters a collaborative and innovative work culture in Cumbernauld, UK. With a strong emphasis on employee growth, we offer opportunities for professional development through training in advanced technologies like SQL and Python, while also supporting a hybrid work model that promotes work-life balance. Join us to be part of a dynamic team dedicated to impactful projects in traffic data management and GIS visualisation.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Traffic Data & GIS Specialist (ETL, SQL, Python) β On-site in Cumbernauld
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We think you need these skills to ace Traffic Data & GIS Specialist (ETL, SQL, Python) β On-site in Cumbernauld
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
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β¨Brush Up on Your Statistics
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