Spatial Data Science for the Energy Transition

Dr. Konstantin Greger

I work with renewable energy and clean tech companies that need spatial data expertise but don't have it in-house — from strategy through infrastructure to analytics.

My Mission

The energy transition is the defining infrastructure project of this generation. The decisions being made right now about where to build solar, wind, and battery storage capacity, and how to connect it to the grid intelligently and efficiently, will shape the energy system for decades.

Getting those decisions right requires good spatial data. Building that capability in the green tech and clean tech space is a gap I can actually help close.

I'm not trying to build a generalist consultancy that happens to take renewable energy clients. I work in this space because it's where I want my expertise to go. A lot of people treat economics and ecology as opposing forces. I think they're the same thing. The faster we get the energy transition right, the better the outcome on both sides of that equation.

What I Do

Geospatial Strategy

Most companies with spatial data needs don't know where to start. They have questions about site selection, grid connection, land use constraints, or network planning, but no clear picture of what data they need, how to get it, or what to build. I help them figure that out before investing in the wrong infrastructure.

Geospatial Data Engineering

Once the direction is clear, the work is building infrastructure that makes spatial data actually useful: geodatabases, data pipelines, integration with external datasets and APIs, and the tooling that turns raw geodata into something your team can work with. Everything built on open source software, no proprietary licenses, no vendor lock-in.

Geospatial Analytics

With the right data and infrastructure in place, the analysis becomes possible: site suitability assessments, grid connection analysis, environmental constraint mapping, network and route planning, mobility analysis. Spatial reasoning that informs real decisions about where to invest and what to build.

Coaching and upskilling cuts across all three. If your goal is to build in-house capability rather than stay dependent on external support, that's a direction I'm happy to work toward.

Why Me

Three things come together here that rarely do: technical depth, academic training, and commercial experience.

Technical

I've built production geodata systems from the ground up. For a renewable energy project developer, I was the sole GIS and IT operation. I designed, built, and ran cloud-hosted geodatabases, WebGIS applications, and automated data pipelines. That project became proof that a well-built spatial data infrastructure can change how a company makes decisions.

Academic

I hold a PhD in Spatial Information Science from the University of Tsukuba, Japan. My research focused on spatial analysis methods in complex urban environments. That kind of training is uncommon outside of research institutions, and rarer still in applied commercial work.

Commercial

I spent six years as a Principal Solution Consultant at Tableau/Salesforce, covering enterprise accounts across EMEA. I know how to communicate technical complexity to non-technical stakeholders, how to make the case for data infrastructure investment, and how large organizations actually adopt new tools.

Most GIS consultants have the technical skills. Some also have the academic background. Very few have worked at a senior level across both research and large-scale commercial enterprise. That's the combination I bring.

I use machine learning and AI where they add genuine value. Where they don't, I don't.

How We Work Together

Project-based

A defined scope, a clear deliverable, a timeline. Good for infrastructure builds, data engineering projects, or analytical studies with a fixed endpoint.

Retainer

Ongoing support on a fixed monthly basis. Useful if you have recurring spatial data needs but not enough volume to justify a full-time hire.

Fractional

I embed in your team as a fractional Head of GIS or Geodata Engineer. You get senior-level spatial data expertise on a part-time basis, without the overhead of a permanent hire. This works particularly well for companies that are building out their geodata capability and need someone to own it end-to-end.

All three models are open to remote work across Germany and Europe.

Let's Talk

If you're building something in the renewable energy or clean tech space and need spatial data expertise, get in touch.

Drop me a line kg@konstantingreger.net

Or find me on LinkedIn linkedin.com/in/konstantingreger

Or explore my work on GitHub github.com/kgreger