Data Engineer / Data Scientist

Stellenbeschreibung:

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.

Requirements

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.
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, and exposure to cloud infrastructure and modern data engineering best practices.

Core Competencies

Demonstrates expertise in developing and maintaining scalable data pipelines, with strong proficiency in Python and data processing methodologies. Capable of analyzing complex technical problems and implementing efficient solutions while ensuring data quality and reliability.