we are scieneers, we are
With our team, we are happy to take on any challenge that the data business has in store for us!
Here we describe where our focal points lie and what drives us.
Jakob Olberding
Data Scieneer,
Cologne
Since my studies, I have been fascinated by how data can be systematically collected, processed, and transformed into meaningful information through modern technologies. What excites me most is the use of artificial intelligence methods, such as machine learning, natural language processing, and deep learning, to analyze complex data structures, gain valuable insights, and make processes more efficient.
Outside of working with data and algorithms, I enjoy playing football, going to the gym, playing the guitar, and spending time with friends while enjoying life in Cologne.
Kim Ferres
Data Scieneer,
Cologne
Back in school, my career advisor told me: “Creative and technical – I don’t have anything for that.” With Data Science, I’ve finally found exactly that intersection for myself. During my studies in Information Systems, a machine learning project on emotion recognition in dogs first sparked my passion.
Right now, I’m particularly excited about developments in AI-driven video generation and analysis. What I love most is exploring new technologies together with a team and unlocking their potential. And when I’m not experimenting with data or technology, you’ll probably find me swimming, surfing, or working on new baking creations.
Artur Huebert
Data Scientist,
Hamburg
My journey into the world of data began back in school, when I became fascinated by code and data, and that fascination has never left me. This passion led me to pursue research, where I worked intensively with deep learning. I loved delving into a wide variety of topics to solve complex problems. Through this process, I realised that any problem can be solved with the right resources.
With this approach, I help companies unlock their untapped potential to enable data-driven innovation. In doing so, I place great importance on designing efficient architecture. I view this not only as a technical framework, but also as a work of art. The clarity and aesthetics of the final product are personally fulfilling.
Markus Portugall
Working Student,
Karlsruhe
I discovered my enthusiasm for software development while still in high school. During my training as an IT specialist, I also developed a keen interest in self-learning algorithms and discovered a perfectly suited degree program in “Applied Artificial Intelligence” in Offenburg.
In my free time, I am an active member of the volunteer fire department, occasionally play the guitar, and enjoy rock climbing and bouldering.
As a youth group leader, I teach young people how to use climbing equipment for rappelling and rock climbing.
Ghazal Mohammadi
Data Scientist,
Hamburg
While studying mathematics, I discovered my enthusiasm for structure and logic, and for solving complex problems.
Taking the next step into data science was an obvious choice for me, as it enables me to combine analytical thinking with modern technology to facilitate data-driven decision-making. I am particularly attracted by the variety of work, ranging from exploratory analyses and machine learning to productive applications.
My mathematical background enables me to apply, understand, and develop models in a targeted manner. At the same time, I recognize that good data is essential. There can be no good data science without solid data engineering. This is why I prioritize clean data, efficient pipelines, and close collaboration with engineering teams.
Outside of work, I enjoy living in Hamburg, doing sports, and spending time with my family and friends.
Jan-Niklas Schulz
Fabric Data Engineer,
Hamburg
As a day-one enthusiast of Microsoft Fabric, I’m fascinated by how modern platforms are making Data & AI truly accessible. My journey from domain expert to business IT specialist enables me to connect technology and use cases like puzzle pieces – creating integrated solutions that don’t just work but deliver real impact. I strive for automated, scalable, yet pragmatic solutions. In my day-to-day work, I bridge theory and best practices with real-world challenges. Learning, sharing, growing – that’s what drives me. And outside of work? I’m passionate about sports and always up for culinary adventures.
Katharina Anderer
Data Scieneer,
Karlsruhe
With my background in psychology and cognitive sciences, data science initially served me as an analysis tool for these fields. This fundamentally changed during my master’s program, as my fascination with machine learning grew.
Currently, I am deeply engaged with large language models and focus on how to harness their potential to make applications more accessible.
In my free time, I enjoy being outdoors, whether it’s ski touring, climbing, or trail running in the mountains.
Maria Hochdörffer
Data Scieneer,
Karlsruhe
I love diving deep into topics, recognizing patterns, and making complex relationships easy to understand – something that fascinated me even during my economics studies. That’s where I laid the foundation for my passion: working with data, analyzing it, and turning it into real insights.
Today, I work as a Data Scientist, using my enthusiasm for data to create value – whether by optimizing processes, enabling data-driven decisions, or uncovering new perspectives on complex challenges.
What matters most to me is collaboration on equal footing. As a trained Agile Coach, I care deeply about fostering an open, structured team culture – because the best ideas rarely come from working alone.
When I’m not diving into datasets, you’ll find me staying active, enjoying good company with family and friends, or experimenting in the kitchen with new bread recipes.
Rupert Schneider
Fabric Data Engineer,
Hamburg
On a technology level, I love working with Microsoft Fabric. But what I’m most passionate about is diving into the world of my customers and figuring out what solution can deliver the most value.
Before getting into the data field, I started off my career in software development, holding roles as a project lead and full stack developer. I’ve experienced everything from big corporations to small startups.
In my private life, I practice martial arts and have a deep connection with Japan, where I spent five years earning my master’s degree and working at my first job.
Marie-Joseph Gomis
Topic Lead Data Product Management,
Hamburg
Just before I left home for the big wide world, my father told me: “A défaut de faire ce que l’on aime, il faut aimer ce que l’on fait” (If you don’t do what you love, you must love what you do). At that time, as a young 18-year-old, I wanted to become an astrophysicist. The encounter with the world of data came about by chance during my studies. I found a lot of similarities to physics when working with data, and it became my passion. I was passionate to help companies make decisions that are not based on gut feeling. Years later, while looking for a way to make customers happy in a complex project environment, I stumbled upon the Scrum framework and ever since then, I developed an affinity for the Agile philosophy, product management and how agile methodologies can be adapted to data projects.
My father was a very wise man and what he taught me was to always be open to the opportunities that life brings along. And so today, as an experienced data product manager, I always feel a great sense of joy when I contribute to the development of data products that add value for users and make their daily work easier.
Mats Faulborn
Data Scieneer,
Hamburg
My passion for data science was sparked while studying politics. While others got caught up in heated political debates, we turned to data to gain real insights and understand the root causes of problems in depth. Feeling deeply inspired by this work, I chose to pursue a data science master’s degree and establish a career in this field. During my master’s, I supported several research projects regarding data analysis and infrastructure. Now I am putting the expertise I have gained into practice with a great team at Scieneers.
Felix Vogl
Data Scieneer,
Karlsruhe
Even before my bachelor’s degree, a book about big data sparked my interest in data and the countless possibilities it offers. While I was able to build up a broad knowledge base in my Business Informatics Bachelor’s degree, my Data Science Master’s degree enabled me to accumulate data-specific knowledge. I was able to deal with all kinds of topics, from simple classifications and forecasts to the development of chatbots or knowledge graph completion using knowledge graph embeddings.
Apart from that, I am interested in synthesizers and electronic music, do sports and enjoy spending time in nature.
Dr. Richard Naab
Data Scieneer,
Karlsruhe
I developed my passion for data analysis during my studies in physics, driven by the curiosity for elementary particle physics. I’m passionate about modern technologies, which I leverage to gain new and robust knowledge based on large data sets.
In my spare time, I enjoy being outdoors, cycling, bouldering and playing the electric bass.
Hikaru Han
Working Student,
Karlsruhe
At the start of my studies, I worked in the Business Intelligence department of another company and learnt the basics of Power BI. As with my bachelor’s degree, my aim was to bridge the gap between management and technology. Now, during my master’s degree, I provide support to my supervisors in online marketing and product management.
In our team at scieneers, I take on the role of idea generation and content creation, and I try my best to produce results that create value and attract further value.
In my spare time, I enjoy chatting with friends in cafés and occasionally travelling abroad and within the EU. Otherwise, you can find me cooking old and new recipes.
Ferdinand Pohl
Data Scieneer,
Cologne
Due to my business-oriented academic background, I greatly enjoy transforming customer requirements into actionable data products that create real and quantifiable value for the company. I am particularly fascinated by how data, when applied correctly, can contribute to the optimization of business processes.
In addition to my professional activities, I am an enthusiastic badminton player, train at the gym, and enjoy spending time with friends, for example, during a round of board games.
Arne Grobrügge
Data Scientist,
Karlsruhe
In recent years, the field of Artificial Intelligence has rapidly evolved, increasingly approaching what was once considered pure science fiction. I am excited to be actively involved in this environment as a scieneer, facing new challenges daily and contributing to the further development of the field. I am fascinated by the opportunity to develop value-creating, data-driven solutions for customers from these technological advancements. Additionally, I have a particular interest in the topics of explainability and security, such as how models can be designed to prevent societal harm. My studies in business informatics provide me with an interdisciplinary perspective, which is ideal for understanding and influencing the technical and economic implementation of these innovations. When I am not wrapped up in data analysis or working on developing a new AI model, I use my free time for sports like basketball, volleyball, and tennis, or for mountain tours in the Alps.
Alina Bickel
Data Scientist,
Karlsruhe
I already decided in favour of Data Science when choosing my Bachelor’s degree. I appreciate the interplay of computer science, maths and domain knowledge as well as the wide range of possible applications. As a data scientist, I want to work with data in order to gain new insights, in particular when adding value for society.
Outside of work, I enjoy playing the piano.
Max Leist
Data Engineer,
Karlsruhe
During my business informatics studies, topics related to business intelligence aroused great interest in me. Latest after my internship semester in BI consulting, the path was clear when I first came into contact with the Microsoft BI stack in 2018. The ability to model and profitably visualize data to answer business relevant questions excited me in particular.
In my time off, I enjoy doing sports and can be found at various soccer fields in the region.
Jan Höllmer
Data Scieneer,
Hamburg
Transformer, Prophet or Feather: The options for handling data are as diverse as the names of the technologies involved. As an industrial engineer, I learned to look at use cases from various perspectives and to mediate between them. Behind data projects there are usually employees from different departments. Sensitivity is needed here to understand and implement the respective requirements. For me, data science and data engineering go hand in hand to obtain the necessary overview.
My wide range of interests also applies to sports: Whether climbing, squash, beach volleyball or spikeball – I enjoy exercise. At the end of the day, it can also be a cozy board game evening.
Alina Dallmann
Data Scieneer,
Cologne
During my Master’s degree in Computer Science I became aware of the field of data science rather accidentally. Since then, this topic does not let me go. I am fascinated by the immense potential of Data Science applications in diverse areas. Thereby, I am particularly interested in the areas that contribute to a sustainable future.
When I am not working on technical topics, you can find me a lot in nature or on the sofa with a book.
Svende Schubert
BI Consultant,
Hamburg
My enthusiasm for data analysis arose from empirical work during my studies in social sciences and economics. I was fascinated by obtaining well-founded information through models and being able to make fact-based statements. In projects, I directly enjoyed working with Microsoft Power BI as a tool for displaying developments and key figures. I appreciate the ability to integrate different data sources and visually map information to gain insight into the data and provide a basis for decision making.
I like to spend my free time walking or running in nature. And on a rainy afternoon I also like to go to a museum to immerse myself in other worlds.
Laurien Lummer
Data Scieneer,
Karlsruhe
I am excited by the enormous potential in all types of data and working on making it useful. In doing so, I find it particularly interesting to face diverse and individual challenges across all areas in order to gain new insights that provide more transparency or a basis for the right, data-based decisions.
I also appreciate the benefits of data and AI in my free time. Thus, some game analysis already helped me in preparing for the next basketball opponent to get a head start even before the jump ball. And when I’m not running after the basketball, I prefer to be out in nature, biking or hiking.
Dr. Philip Witte
Industry Lead Energy
& Data Scientist,
Hamburg
After studying mechanical engineering and earning my PhD in the field of energy system optimization, I worked as a management consultant in the energy sector. Already in this role, I approached challenges in my projects analytically and data-driven whenever possible, without losing sight of the human component. Data Science has always fascinated me and as a Data Scientist I can now go even deeper into concrete problem solving, actively shaping the solution. I find new technologies, e.g., from the field of Machine Learning, particularly exciting; however, in my view, creating value for the customer should always come first when constructing the best overall solution.
Away from work, I love to spend time with my family and do a lot of sports – preferably running and field hockey.
Dr. Milan Petrovic
Data Engineer,
Hamburg
The focus of my work as a data engineer is to develop robust and secure solutions that ensure the flow, transformation and optimal delivery of data. I love to use the wide range of state-of-the-art cloud technologies, especially within the Microsoft Azure Data Platform.
As a scientist by training, I am fascinated by the structure, function and maintenance of complex systems. That’s why I’m equally enthusiastic about well-designed, efficient data platforms – especially if I have contributed my part to their development.
Philip Fürste
Data Scieneer,
Cologne
Ever since studying cognitive science, I have been fascinated by how individual components, whether neurons or data, can come together to create something greater than the sum of their parts. I find the field of deep learning particularly exciting because it is constantly evolving and producing rapid, impressive innovations. I enjoy developing systems that gain insights from data — you never know what you might discover! As a scientist, I can use this exploratory approach to answer the questions that matter most to customers. Outside of work, I enjoy spending time in the great outdoors, whether that’s hiking with my dog or going for a jog.
Paul Krückemeier
BI Consultant,
Hamburg
“I have always been interested in understanding and optimizing complex relationships. This interest led me first to my physics studies and then to Business Intelligence. Implementing ETL processes, data models and reports with the Microsoft BI toolkit was fun from the very first moment.
In my free time I like to be in the great outdoors, preferably on the climbing wall.”
Jonas Bremer
Data Scieneer,
Cologne
“Computers, technologies and software shape some of my earliest childhood memories. Since studying computer science, what delights me the most is working out essential problems and creative solutions to add value to others with our tools of the trade. As an advocate of the agile mindset, I strive according to the motto “Maximizing the work not done”; life is too short not to search for an optimal path and to evolve constantly while enjoying our time together. If you don’t find me in front of a monitor, the inspiration to fly has hopefully taken me out into nature.”
Moritz Renftle
Data Scientist,
Karlsruhe
“All models are wrong, but some are useful.” – I believe that this phrase by George Box describes Data Science in a nutshell. I enjoy translating real problems to data-driven models, and to improve these models until they are useful. A particularly interesting aspect for me is how the deployment context of a model influences its architecture and training, say, if the model must be robust, or explainable, or if it must work with limited or noisy data. At the end of the day, you will find me running and catching discs on an Ultimate Frisbee field, or sipping coffee in the sun.
Duarte Gouveia
Data Scieneer,
Cologne
“As an engineer I’ve always been fascinated with discovery and the logic of things. Working with data and arranging it in such a way so that we can see what lies under the hood of a complex problem is what motivates me to pursue the path of Data Science. This world brings much more than just merely statistics or programming: It joins together a unique balance of computer engineering and mathematics which forms the perfect challenge for me. That’s why I joined scieneers: I have the chance to work with the best and help people reach their goals through data.“
Melanie Bernhof
Data Engineer,
Hamburg
“With my background as an industrial engineer, I recognize the huge impact that transparent data can have on business performance. This awareness drives me to develop BI solutions that start with building efficient data architectures and culminate in data-driven dashboards for validated decision making. Nowadays, there is simply no time left for complicated, manual data preparation! My focus is always on the benefits and sustainability of the solution. I feel most comfortable in Microsoft BI projects with social added value.
When I’ m not working, you can find me painting with a paintbrush in my hand or Thai-boxing with boxing gloves on, true to the motto: One-sided is boring!”
Thomas Faltermann
Data Engineer,
Karlsruhe
“I feel at home in the world of the Microsoft Data Platform. It all started with the development of classic reporting systems and data warehouses, but today I’m particularly excited about IoT-projects. Whether it’s large-scale projects in production or small-scale projects at home to record and analyze the power consumption – it’s both fascinating and frightening what insights you can uncover when digging through certain data pools.
Away from the daily business routine, I like to swap my laptop for my biking, hiking or climbing gear. And of course, there’s also a proper monitoring of the activities…”
Martin Danner
Data Scieneer,
Hamburg
“It used to be pure fiction, now reality – a glimpse into the future. Working out the puzzle pieces in large amounts of data enabling exactly that, in combination with algorithms from the field of machine learning, is what drives me. For me, data science is more than just science: because new findings are always most exciting when they can be shared and add value through communication with stakeholders. Although I am very interested in a wide range of topics within the field of data science, my background in neural engineering gives me a special passion for the life sciences. In my private life I am drawn to water in all its aggregate states, whether for sailing with friends, skiing in the Alps or simply for a walk with a refreshing cold drink on the beach.“
Sebastian Drewke
Data Scieneer,
Cologne
“Data Science as an interdisciplinary science combines important competencies that are close to my heart. Good communication and the joint development of new insights is crucial for me.
My background as a trained carpenter allows me to exercise my creativity not only on a workpiece but also in Data Science projects. My inquisitive nature allows me to discover new paths, which let me make new discoveries privately, for example while hiking, and professionally in projects.“
Julian Werner
Data Scieneer,
Hamburg
“I first came into contact with machine learning during my electrical engineering studies in the context of automation technology. Through initial work with image processing systems, I quickly arrived at the topic of Deep Learning and became deeply involved with object recognition and segmentation. Today, my main interests are Deep Learning, reinforcement learning with imperfect information, generation of synthetic data and more efficient design of training processes.
Privately, I enjoy doing martial arts on the ground (Brazilian Jiu Jitsu and grappling).“
Lena Beck
Data Scieneer,
Karlsruhe
“I come to Data Science with a technical background: After my bachelor’s degree in engineering science, the computer science focus of my master’s degree sparked my interest in Data Science and Machine Learning. I gained my first professional experience in software development. Therefore, the scieneers approach convinced me: Data Science and Data Engineering belong together! I particularly enjoy working on meaningful projects and conquering new technologies and application fields.
After work, you can usually find me playing sports: I am passionate about Ultimate Frisbee and train diligently to be able to celebrate national and international successes.“
Tobias Göck
Data Engineer,
Karlsruhe
“Whether building data warehouses for use in classic reporting systems, application integration via REST services or the preparation and analysis of transaction data from WLAN access points.
For more than 15 years I have been developing and consulting in data-driven projects. In addition to the technical understanding of the data itself, the most exciting thing for me is to see how visions become concepts, which are then cast into needs-based, technologically clean solutions for my customers using appropriate tools.“
Steffi Kramer
Executive Assistant,
Karlsruhe
“During my training, I discovered my passion for the commercial aspects of accounting, human resources and payroll. Today, I use my extensive knowledge and many years of experience to support management effectively in financial and personnel-related matters.
Outside of work, I enjoy playing sports and going on trips with my children.”
Sascha Götz
Team Lead & Data Engineer,
Karlsruhe
“My home turf is the Microsoft BI universe. On-Premise or Azure Cloud – Frontend or Backend? Preferably all together! As a full-stack BI consultant and certified PowerBI trainer, I’m happy to support you from the initial concepts to data warehouse design to the implementation of concrete dashboards. I am also happy to develop one or the other custom extension in C# to integrate the solution really seamlessly into the customer’s system landscape.“
Milo Sikora
BI Consultant,
Karlsruhe
“As an industrial engineer, I am passionate about supporting companies with individual BI solutions to make transparent and data-based decisions. KPIs instead of gut decisions? Real-time dashboard instead of PDF report? Exactly my thing!
I prefer to provide support where these corporate decisions generate sustainable added value for society. Even in sports, I find it hard to get away from data: if a run or a bike ride hasn’t been tracked, saved and analysed, does it count at all?!“
Daniela Wecker
Azure Data Engineer,
Karlsruhe
“I enjoy working with data the most!
Already during my studies I was enthusiastic about Business Intelligence in the Microsoft and Qlik environment. As a BI’ler I like to support the data modeling and implementation of ETL routes as well as dashboards.
Especially interesting are the numerous questions from different industries, which offer a new challenge in every project – whether conceptual or technical.“
Florence López
Diversity Managerin &
Data Scientist,
Cologne
“My fascination for all kinds of data and their potential in combination with technologies from the field of Machine Learning and Deep Learning already emerged during my Bachelor studies. This fascination grew with my Master studies in Computer Science and I am very happy to be a part of scieneers and to be able to come up with valuable and data-driven solutions for my clients. Doing so, it is important to me to think about sustainability and social impacts of the approaches I conceptualise and to be curious and open-minded towards new technologies.“
Dr. Alexander Thiel
Data Architect,
Karlsruhe
“For over 15 years, I’ve been helping customers implement their data-driven IT projects. And I’m still curious – about new technologies, new industries, new projects and the people behind them. I have a pretty good knack for understanding complex requirements and breaking them down into solvable subtasks. And when it comes to implementation, it’s always important to me that aspects such as maintainability and operation are taken into account right from the start. Code or concepts; architecture or project management, dev or ops – it’s all in the mix. I enjoy understanding projects in all their details, contributing my experience and lending a hand wherever necessary.“
Marco Fischer
Data Engineer,
Hamburg
“Moin!
I am eager to support you in designing and building data architectures, no matter if sheet metal, cloud or hybrid! The main thing is that the data arrive safely at their destination – be it central, modern analytics solutions or as the basis for cool data science use cases. From our own experience, the view for a holistic application lifecycle management is essential. If data brings people and nature forward in a positive way, I am satisfied! Making things simple is more important than philosophizing to the last detail. Let’s start!“
Alexandra Wörner
Data Scientist,
Cologne
“My Twitter bio reads as: “Machine learning & everything else around data from asking the right questions to visualization”, and this is not because it sounds cool. As a data scientist, I do not only consider data analysis and model development as my job, but also working with and for customers to break down the complexity of these tasks so that we can develop meaningful and valuable applications together. Apart from using the appropriate tools, for me personally, this entails critical analysis, creativity as well as collaboration and an open mind. Furthermore, it is always important to me to keep in mind the impact on society.“
Jonathan Priebe
Data Engineer,
Cologne
“Already during my computer science studies, I became increasingly interested in Big Data technologies such as Spark and Hadoop. As a data engineer, I was able to support various projects in the design and development of data-driven systems. There I worked on on-premise environments as well as in the cloud. My focus is on ensuring a reliable data foundation to enable the application of machine learning algorithms.“
Nico Kreiling
Team Lead & Data Scientist,
Cologne
“My passion is the development and pragmatic implementation of ideas. I’m curious by nature and love sifting through data to find exciting connections in it. Technologically, I also like to put current innovations to the test and talk about them at conferences or on my podcast Techtiefen. When I’m not behind my keyboard or a microphone, you can usually find me in bouldering halls, in the mountains or on a surfboard.“
Dr. Lars Perchalla
Director Data Science,
Cologne
“With PhD in physics, my data science roots lie in research. That’s why I’m all the more eager for the commercial implementation: not just to design analyses on the whiteboard, but to bring them into production as a data product. My constant challenge is to form a powerful team that seamlessly combines all the necessary skills to solve our customers’ analysis projects in the best possible way: “Always great when things go uphill!” This also applies to my private life, when I climb the Alps with friends and family or try to beat my running pace.”
Stefan Kirner
Director Business Intelligence,
Karlsruhe
“With my team at scieneers, I mainly take care of data projects in the environment of Microsoft technologies. As a data geek from the very beginning, I also like to share my experience at various conferences and meetups. Among other things, I organize community events in Karlsruhe in my function as Chapter Lead and Advisory Board of PASS Deutschland e.V..
To keep fit I regularly go running in my spare time and indulge in dancing. (At the moment mainly Tango Argentino). “
Patrick Thoma
Managing Director,
Karlsruhe
“My former professor coined the comparison: “Karlsruhe industrial engineers are like ducks: they can swim a little, walk a little and fly a little”. In this sense, I try to help where I can. My goal with the company is to provide a platform on which all colleagues can optimally develop their strengths and compensate for small weaknesses in the team. Privately, I have been enthusiastically involved in triathlon for several years. The agile principle of “sustainable pace” therefore plays an important role for me in a double sense.“
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