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- Tasks: Join a dynamic team to develop innovative geospatial solutions and data pipelines.
- Company: SLR Consulting, a global leader in sustainability solutions.
- Benefits: Competitive salary, comprehensive benefits, flexible working arrangements, and career progression opportunities.
- Why this job: Shape the digital future with cutting-edge tech and make a real impact in sustainability.
- Qualifications: Advanced Python skills, experience with databases, and a degree in Computer Science or Geography.
- Other info: Inclusive culture that values diversity and supports professional development.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the Geospatial Developer & Data Engineer role at SLR Consulting. SLR is seeking a talented Senior Geospatial Developer & Data Engineer to join our growing Development & Innovation (D&I) team. This is an exciting opportunity to play a key role in shaping SLR’s digital future, working within a dynamic and collaborative European team based in one of our UK or Dublin offices.
You’ll be part of our Geospatial & Data Solutions (GDS) team, supporting internal and external clients and building and maintaining scalable geospatial data pipelines, developing bespoke project lifecycle applications and digital solutions. You’ll collaborate closely with our Data Science, Project Delivery, and technical teams across sectors including Built Environment, Industry, Infrastructure, Mining & Minerals, Oil & Gas, and Power.
This role offers the chance to work with cutting-edge technologies including Esri products (ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online), Microsoft Azure, MS SQL Server, PostgreSQL, and open-source platforms. You’ll also contribute to broader development initiatives based on your skills and interests. The successful candidate will help influence the direction of the D&I team, contributing to best practices, new initiatives, and collaboration across the business.
Responsibilities
- Collaborate with stakeholders, data scientists, and developers to deliver innovative geospatial and data-driven solutions.
- Develop practical, user-friendly tools and analyses and automate data ingestion, transformation and loading using Python.
- Build reproducible workflows and apply software engineering best practices.
- Design, implement and optimise geospatial ETL pipelines (e.g. Airflow, dbt).
- Collaborate on data-modelling and storage to support GIS and data science teams.
- Communicate effectively with technical and non-technical audiences through presentations, workshops, and client engagements.
- Stay current with geospatial industry trends and technologies.
- Document code, processes, and findings to support reproducibility and knowledge sharing.
- Contribute to the growth and direction of the D&I team by mentoring, improving processes, and fostering collaboration.
Skills/experience Required
- Advanced Python programming skills.
- Experience with databases and SQL for handling large datasets.
- Familiarity with cloud platforms (e.g., Microsoft Azure).
- Experience with deployment and version control (e.g., Azure DevOps).
- Bachelor’s degree in Computer Science, Geography, or a related discipline.
Desirable
- Experience in a commercial environmental consultancy.
- Knowledge of geospatial data warehousing and analytics (e.g. PostGIS, Snowflake).
- Proficiency in Esri technologies, including ArcGIS Online (AGOL) and ArcGIS Enterprise. Experience building and scheduling ETL workflows (Airflow, Azure Data Factory, dbt).
- Knowledge of spatial data management and geospatial queries.
- Experience with containerised app development (e.g., Docker).
- Understanding of GDPR compliance.
- MSc in Geospatial Sciences, Computer Science, or a related field.
About Us
SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals. We are a consultancy with 4000+ employees across 6 regions in over 125 countries. Our ‘one team’ culture is at the heart of our business, providing a collaborative and supportive environment for professional development. We offer competitive salaries and a comprehensive benefits package including a company pension, healthcare, travel and life insurance, and a structured career framework with regular reviews and opportunities for progression. We provide 25 days of annual leave plus flexible bank holidays and flexible, agile, and hybrid working arrangements to balance professional and home life.
Culture & Inclusion
We are committed to being an equal opportunities employer. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people, regardless of background, can thrive. We welcome applications from all individuals, including those from groups currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with disabilities, including those who are neurodivergent.
If you require any special adjustments during the recruitment process, please let us know. As a Disability Confident Committed employer, we ensure equitable support for all applicants. SLR guarantees an interview to all applicants with a disability who meet the essential requirements for the job.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
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Geospatial Developer & Data Engineer employer: SLR Consulting
Contact Detail:
SLR Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Developer & Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at SLR Consulting on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your geospatial projects, especially those using Esri products or Python. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python and SQL skills. Consider mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the SLR team.
We think you need these skills to ace Geospatial Developer & Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Geospatial Developer & Data Engineer role. Highlight your Python skills, experience with databases, and any relevant projects that showcase your ability to develop geospatial solutions.
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Mention your familiarity with Esri products, cloud platforms like Microsoft Azure, and any experience with ETL workflows. This is your chance to shine!
Communicate Clearly: Remember, you’ll be working with both technical and non-technical teams. Use clear and concise language in your application to demonstrate your ability to communicate effectively across different audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at SLR!
How to prepare for a job interview at SLR Consulting
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Esri products and Microsoft Azure. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges or developed innovative geospatial solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Communicate Clearly
Practice explaining technical concepts in simple terms, as you'll need to communicate with both technical and non-technical audiences. Consider doing mock interviews with friends or colleagues to refine your communication style.
✨Demonstrate Collaboration
Since the role involves working closely with various teams, be prepared to discuss your experience in collaborative environments. Share specific instances where you successfully worked with stakeholders or mentored others to achieve a common goal.