Georg Heiler

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Georg Heiler

senior data expert

Magenta

Austrian Supply Chain Intelligence Institute

Complexity Science Hub

Vienna Data Science Group

About Me

Georg is a Senior data expert @Magenta and a ML-ops engineer @ASCII. He is solving challenges with data. His interests include geospatial graphs and time series. Georg transitions the data platform of Magenta to the cloud and is handling large scale multi-modal ML-ops challenges at ASCII.

Interests

Geo-spatial analytics
Time series
Network analytics
Large and fast data
Responsible AI
Knowledge graphs

Education

Dr. techn. Informatics, 2023
TU Wien
MSc in Business Informatics, 2018
TU Wien
BSc in Business Informatics, 2015
TU Wien

My interests

I am tackling challenging and impactful data challenges in industry and research. I blog about the local data stack and data related topics and organize local data meetups.

Sometimes, it looks crazy - but it is just complex!

Please reach out to for research collaborations 😃

Specialties: Data Architecture, Leadership, Software Engineering, Strategic Planning, Content Creation

Featured Publications

Apache-Spark

Identifying the root cause of cable network problems with machine learning

Georg Heiler

• Mar 14, 2022

Supply-Chain

Monitoring supply networks from mobile phone data for estimating the systemic risk of an economy

Figure description: (a) Probability $p(s|c)$ to find a supply link, sij , given that there exists a communication link, cij, between firms i and j for communication links exceeding a given call duration, dij. Error bars denote the quartiles of a bootstrap simulation described in SI Text 1.

Tobias Reisch

• Oct 13, 2021

Scaling data pipelines @Telekom

Join the Vienna Data Engineering Meetup on the 9th of April. Scaling data pipelines @Telekom Aleks and Georg share how Magenta Telekom is handling their data challenges by turning data dependencies, tooling silos and development from being a problem into a helpful component of Magenta`s data platform. They start by covering the basic principles underpinning the data platform, discuss the current challenges in the domain of data engineering and share how these are solved for Magenta. They finish by sharing how building around the orchestrator - makes it easy to build for scale.

Georg Heiler

• Apr 9, 2025

Open-Data

Open Data Hackathon Wien 25

20 minute impulse talk about open data and priciples of handling data. See https://docs.google.com/presentation/d/1W7MiXO-6qrYADONrIiJdOtY_zFPB9QSghJ_JjMiVaAU/edit?slide=id.g33e86fc9cec_0_15#slide=id.g33e86fc9cec_0_15 for the slides. https://www.data.gv.at/2025/03/19/open-data-hackathon-im-metalab-wien-datenschaetze-entdecken-und-nutzbar-machen/ for the event some interesting learnings high value open data sets https://www.data.gv.at/en/2023/01/26/innovation-potential-through-public-data-eu-commission-obliges-member-states-to-release-high-value-data-sets/ https://www.data.gv.at/katalog/dataset/e91bd464-be86-453c-b693-2ab818e11df2 https://www.data.gv.at/wp-content/uploads/2023/01/Auflistung-HVDs-Details_datagvat_26012023.pdf https://justizonline.gv.at/jop/web/iwg https://www.offenerhaushalt.at/ data how-to https://georgheiler.com/post/learning-data-engineering/ https://github.com/l-mds/local-data-stack

Georg Heiler

• Mar 21, 2025

Pixi

Pixi powering Telekom data cloud

Pixi is a tool which enables efficient dependency handling. It is created from prefix.dev, built in Rust and very fast. For us at Magenta Telekom in Austria Pixi is beneficial as we build our new data platform around metadata and strong governance and an explicit graph of data dependencies. In this talk we share our experience with Pixi and how it empowers our data infrastructure - in conjunction with Dagster.

Aleksandar Milicevic

• Jan 31, 2025

Python

Cost efficient alternative to databricks lock-in

Spark-based data PaaS solutions are convenient. But they come with their own set of challenges such as a high vendor lock-in and obscured costs. We show how to use a dedicated orchestrator ([dagster-pipes](https://docs.dagster.io/guides/dagster-pipes)). It can not only make Databricks an implementation detail but also save cost. Also, it improves developer productivity. It allows you to take back control.

Georg Heiler

• Sep 12, 2024

Python

Cloud arbitrage for spark pipelines

Spark-based data PaaS solutions are convenient. But they come with their own set of challenges such as a high vendor lock-in and obscured costs. We show how to use a dedicated orchestrator ([dagster-pipes](https://docs.dagster.io/guides/dagster-pipes)). It can not only make Databricks an implementation detail but also save cost. Also, it improves developer productivity. It allows you to take back control.

Georg Heiler

• Jun 21, 2024

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Recent Publications

Hernan Picatto, Georg Heiler (2024). Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach. Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach.

Preprint Cite Project

Prieto-Curiel, Rafael, Ali, Ola, Dervić, Elma, Karimi, Fariba, Omodei, Elisa, Stütz, Rainer, Georg Heiler, Holovatch, Yurij (2024). The diaspora model for human migration. The diaspora model for human migration.

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Mohammad Forghani, Christophe Claramunt, Farid Karimipour, Georg Heiler (2023). Visual analytics of mobility network changes observed using mobile phone data during COVID-19 pandemic. VISUAL ANALYTICS OF MOBILITY NETWORK CHANGES OBSERVED USING MOBILE PHONE DATA DURING COVID-19 PANDEMIC.

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Georg Heiler, Tuan Pham, Jan Korbel, Johannes Wachs, Stefan Thurner (2022). Specialization in Criminal Careers. Specialization in Criminal Careers.

Preprint PDF Cite DOI

Fabian Amman, Rudolf Markt, Lukas Endler, Sebastian Hupfauf, Benedikt Agerer, Anna Schedl, Lukas Richter, Melanie Zechmeister, Martin Bicher, Georg Heiler, Petr Triska, Matthew Thornton, Thomas Penz, Martin Senekowitsch, Jan Laine, Zsofia Keszei, Peter Klimek, Fabiana Nägele, Markus Mayr, Beatrice Daleiden, Martin Steinlechner, Harald Niederstätter, Petra Heidinger, Wolfgang Rauch, Christoph Scheffknecht, Gunther Vogl, Günther Weichlinger, Andreas Otto Wagner, Katarzyna Slipko, Amandine Masseron, Elena Radu, Franz Allerberger, Niki Popper, Christoph Bock, Daniela Schmid, Herbert Oberacher, Norbert Kreuzinger, Heribert Insam, Andreas Bergthaler (2022). Viral variant-resolved wastewater surveillance of SARS-CoV-2 at national scale. Viral variant-resolved wastewater surveillance of SARS-CoV-2 at national scale.

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