Data Engineer / Data Scientist

Targomo

Data Engineer/ Data Scientist focusing on footfall data products for Targomo. Driving data product development and maintenance with a hands-on approach to analytical challenges.

Posted 8/3/2026full-timeBerlin • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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.

Highest-signal resume keywords

Python ProgrammingData Pipeline DevelopmentAlgorithms and Data StructuresAnalytical Problem-SolvingGeospatial Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPandasData ProcessingAlgorithmsData StructuresPerformance OptimizationSQLNoSQLDaskGIS Tools

Soft Skills

Critical ThinkingAttention to DetailOwnershipIndependent WorkProject Management

Tools & Technologies

QGISArcGISCloud InfrastructureDistributed Data Processing FrameworksData Quality Monitoring

Industry Keywords

Data EngineeringData QualityData TransformationData AnalysisData Lineage

Tech Stack

Tools & technologies

CloudNoSQLPandasPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Hybrid working model (2-3 times a week in the office)
Company stock options plan
30 days of paid annual leave