At a Glance
- Tasks: Join us as a GIS Data Engineer, tackling exciting geospatial projects and developing data pipelines.
- Company: Work with a tech-for-good client making a positive impact through innovative technology.
- Benefits: Enjoy 25 days holiday, health insurance, life insurance, and a company phone.
- Why this job: Perfect for problem solvers who love technical challenges in a collaborative environment.
- Qualifications: Degree in Computer Science, GIS, Geography or related field; experience in data engineering required.
- Other info: This is an urgent vacancy; apply now to be part of something meaningful!
I am working with a tech for good client who is looking for a data engineer, with skills in geospatial engineering for some exciting and large scale projects that they have underway. They are looking for skills in Python, PostgreSQL, GIS analysis and visualisation. You should be someone that really enjoys problem solving and technical challenges.
Benefits:
- 25 days holiday
- Company phone
- Health insurance
- Life insurance
- And more
Role Responsibilities:
- You will be developing data pipelines, managing databases, analysing and visualising GIS data.
- Developing python scripting to automate data ingestion.
- Testing and validating, data manipulation and cleansing, creating tiles from datasets.
- You will be working with a cross functional team including data analysts, developers, and other key stakeholders.
Experience:
- Degree in Computer Science, GIS, Geography or related field.
- Experience in data engineering.
- Geospatial related software experience is highly desirable.
Skills:
- Python
- SQL, PostgreSQL
- PostGIS
- GIS software - QGIS, Desktop GIS packages
- AWS
- FME for data integration
This is an urgent vacancy, if you would like to be considered then please apply, along with an up-to-date copy of your CV.
GIS Data Engineer employer: Hunter Selection
Contact Detail:
Hunter Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GIS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific GIS software mentioned in the job description, such as QGIS and PostGIS. Having hands-on experience or even completing a project using these tools can set you apart from other candidates.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of past projects where you tackled technical challenges. Be ready to discuss how you approached these issues during interviews, as this role values analytical thinking.
✨Tip Number 3
Network with professionals in the GIS and data engineering fields. Attend relevant meetups or online webinars to connect with others who may have insights into the company or the role, which could give you an edge.
✨Tip Number 4
Brush up on your Python and SQL skills, particularly in relation to data manipulation and automation. Consider working on small projects or contributing to open-source initiatives that demonstrate your proficiency in these areas.
We think you need these skills to ace GIS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and geospatial software. Emphasise your skills in Python, PostgreSQL, and GIS analysis, as these are crucial for the role.
Craft a Strong Cover Letter: Write a cover letter that showcases your problem-solving abilities and technical challenges you've overcome. Mention specific projects where you've used relevant technologies like QGIS or AWS.
Highlight Relevant Experience: In your application, clearly outline any previous roles or projects that involved developing data pipelines or managing databases. Use metrics to demonstrate your impact where possible.
Use Keywords from the Job Description: Incorporate keywords from the job description, such as 'GIS', 'PostGIS', and 'data integration', into your CV and cover letter. This will help your application stand out to recruiters.
How to prepare for a job interview at Hunter Selection
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, PostgreSQL, and GIS software during the interview. Be prepared to discuss specific projects where you've used these skills, as this will demonstrate your technical proficiency and problem-solving abilities.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world challenges in data engineering. Think of examples where you successfully developed data pipelines or automated processes, and be ready to explain your thought process and the outcomes.
✨Familiarise Yourself with the Company’s Projects
Research the tech-for-good initiatives that the company is involved in. Understanding their mission and current projects will allow you to tailor your responses and show genuine interest in contributing to their goals.
✨Demonstrate Team Collaboration Skills
Since you'll be working with a cross-functional team, be prepared to discuss your experience collaborating with data analysts and developers. Share examples of how you’ve effectively communicated and worked together to achieve project objectives.