About the role
Data Engineer / Data Scientist (m/f/x)
Targomo is transforming how companies understand locations, markets, and customers through powerful location intelligence. Our technology empowers retailers, hospitality brands, real estate players, and data-driven organizations to make smarter strategic decisions with confidence.
We are looking for a curious and analytical engineer to help drive our data products forward, with a focus on our footfall data products. You will work on challenging data engineering and data science problems involving large-scale geospatial datasets, designing robust processing pipelines while also contributing to the design and evolution of the data products themselves.
This is a role for someone who enjoys understanding complex systems, thinking critically about trade-offs, and building solutions that are both technically sound and maintainable. Rather than simply implementing predefined tasks, you will be expected to investigate problems, challenge assumptions, and develop thoughtful solutions.
What You’ll Do
Drive the end-to-end development and maintenance of our footfall data products.
Design, build, and improve scalable data pipelines for ingesting, transforming, and processing large datasets.
Work on data product design, evaluating methodologies, data quality, and analytical approaches to improve our products.
Analyze complex technical problems and develop efficient, maintainable solutions.
Identify opportunities to automate manual workflows and improve existing processes.
Ensure data processing workflows are reliable through testing, monitoring, logging, and error handling.
Build reproducible data processing systems with clear documentation and data lineage.
What You Bring
You're likely a great fit if you have...
A solid foundation in Computer Science through a degree or equivalent hands-on experience.
Strong Python skills, with excellent knowledge of pandas and writing clean, efficient, and maintainable code.
A deep understanding of algorithms, data structures, computational complexity, and performance optimization.
The ability to think critically about large-scale data processing, selecting the right tools and algorithms for datasets of varying sizes and computational constraints.
A curious mindset: you enjoy exploring unfamiliar technical challenges and aren't afraid to dig deep until you understand how things work.
Strong analytical and problem-solving skills, with an eye for detail and quality.
The confidence to take ownership, work independently, and drive complex technical projects from idea to implementation.
Bonus points if you also have...
Experience working with geospatial data or GIS tools such as QGIS or ArcGIS.
Experience with distributed data processing frameworks - Dask experience is particularly valuable.
Experience building and maintaining production-grade data pipelines.
Familiarity with SQL and NoSQL databases.
Experience using containerization technologies such as Docker or Podman.
Exposure to cloud infrastructure and modern data engineering best practices.
Experience communicating directly with clients, translating technical concepts into clear, actionable insights and confidently managing expectations.
Who Will Enjoy This Role?
This position is a good fit for someone who enjoys solving difficult technical problems rather than applying standard solutions. Many of the challenges involve balancing correctness, scalability, performance, and maintainability across complex datasets and processing pipelines.
The technologies we use can be learned. What matters most is the ability to think rigorously, ask good questions, and continuously push for improving the systems and solutions we work with.
Why You’ll Love Working at Targomo
The opportunity to shape the future of location intelligence;
Hybrid working model (2-3 times a week in the office) with a vibrant Berlin rooftop office;
Company stock options plan;
30 days of paid annual leave;
And wait there is more - We work in a trusting and collaborative but also fast-paced, innovative tech environment. And we offer competitive salaries.
Ready to apply?
If you’re excited about using AI and data to guide smarter business decisions and want to grow your career in a dynamic and supportive environment we’d love to get to know you and please send us your CV in English!
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