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Data Engineer / Scientist, Payment
DSV-Gruppe. Support the development of the company-wide central data platform for data and AI use cases.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing data-driven use cases and ensuring high data quality within the payments environment. Proficient in utilizing Big Data technologies and presenting analytical results effectively.
Highest-signal resume keywords
Master's Degree Or PhD In MathematicsStrong Knowledge Of PythonExperience Presenting Results With DashboardsFluent German And Good English SkillsExperience With Big Data Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSpark/PySparkHadoopSQLData Quality AssuranceData-Driven Use Case DevelopmentDashboard PresentationAI FrameworksSpark MLTensorFlow
Tools & Technologies
Power BITableauGrafanaRStudioDocker
Industry Keywords
Payments EnvironmentData PlatformData ScienceBig Data TechnologiesMQ Technologies
Tech Stack
Tools & technologiesDockerGrafanaHadoopPySparkPythonSparkSQLTableau
About the role
Key responsibilities & impact- Support the development of the company-wide central data platform for data and AI use cases.
- Develop and establish new data-driven use cases in the payments environment.
- Ensure exceptionally high data quality across departments.
- Develop data-driven use case ideas and inspire business units to adopt them.
- Help shape and transform the future of payments.
Requirements
What you’ll need- Completed master’s degree or PhD in mathematics, computer science, physics, or a related data science field.
- Strong knowledge of Python, Spark/PySpark, Hadoop, SQL, and other Big Data technologies.
- Experience presenting results, for example with dashboards in Power BI, Tableau, or Grafana.
- Fluent German and good English skills.
- Experience with tools such as RStudio, AI frameworks, Spark ML, or TensorFlow is a plus, but not required.
- Knowledge of MQ technologies and experience with Docker are a plus, but not required.
Benefits
Comp & perks- Flexible working hours
- Additional vacation days
- Mobile working
- Individual professional development
- Bike leasing
- Company cafeteria
- Company events
- Sports activities
- Childcare allowance