Senior GIS Data Engineer

What's the role?

• Own end‑to‑end delivery of complex GIS data engineering and ingestion projects, from design through execution, with full accountability.
• Transform, integrate, and create geospatial data products using tools such as FME, ArcGIS, QGIS, Python, SQL, Oracle, PostgreSQL, Visio, and related technologies.
• Assess and mitigate risks associated with large‑scale and bulk data ingestion and conversion efforts.
• Provide GIS and spatial data consultancy, particularly for bulk source integration initiatives.
• Contribute to departmental and cross‑functional projects to improve efficiency, quality, and cost effectiveness.
• Apply a strong engineering and consultancy mindset, focusing on delivering high‑value outcomes rather than only initial requests.
• Design, improve, and re‑engineer GIS data engineering processes, tools, and workflows using strategic and tactical technology recommendations.
• Proactively identify and resolve issues related to data conversion, bulk updates, and the HERE map database, collaborating with empathy and integrity across teams.

Who are you?

You will bring:

• Bachelor’s degree with 5+ years of relevant experience, or 4+ years of directly related experience.
• Strong data analytics skills with advanced experience in ArcGIS, QGIS, and FME, plus working knowledge of Python, SQL, PostgreSQL, and Machine Learning concepts.
• Experience working with modern GIS technologies, including cloud platforms, web services, and big data environments.
• Hands‑on experience transforming and managing data in relational databases such as Oracle and Postgres.
• Familiarity with AWS, APIs and cloud environments, as well as version control tools such as GitLab.
• Experience working in Agile environments, with knowledge of Kanban frameworks and tools such as JIRA and Confluence.
• Ability to work independently within your discipline and support or mentor junior colleagues.
• Strong communication skills with the ability to distill insights and articulate actionable perspectives to non‑technical audiences.
• Fluent in English, with an additional language as an advantage.

What Do We Offer?

 

• This is a hybrid position based in León, Guanajuato, Mexico, requiring at least three days per week in the office.
• A collaborative and inclusive environment where your expertise and ideas help shape data engineering practices.
• Opportunities to lead and contribute to complex, high‑impact geospatial data initiatives at scale.
• Continuous learning and career growth through exposure to advanced technologies, tools, and cross‑functional projects.
• A culture that values ownership, accountability, and outcome‑driven delivery.
• Flexible working arrangements that support well‑being and work–life balance.
• Collaboration with highly skilled, international teams across the organization.
• A competitive compensation and benefits package aligned with experience and local market standards.
• A workplace committed to integrity, inclusion, and professional respect.

Please submit resumes in English.

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Who are we?

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

About the TeamYou will join a global GIS Data Engineering team responsible for building, integrating, and maintaining large‑scale geospatial datasets that power HERE products and services. The team works closely with cross‑functional partners to deliver high‑quality, scalable data solutions and continuously improve data engineering processes. Collaboration, knowledge sharing, and a strong sense of ownership are central to how the team operates, creating an environment where experienced engineers can lead by example while helping shape best practices across the organization.