Library

Builds and operates data pipelines and models focused on Airflow/Orchestrierung. The role centres on Data Engineering & ETL (Extract, Transform, Load), SQL & Databases and Python. Typical tools include Apache Airflow and Docker & Containers. Sound knowledge of Data Modeling and Git & Version Control is expected as well.

Builds and operates data pipelines and models focused on BigQuery. The role centres on Data Engineering & ETL (Extract, Transform, Load), SQL & Databases and Python. Typical tools include Google BigQuery and dbt. Sound knowledge of Data Modeling and Git & Version Control is expected as well.

Builds and operates data pipelines and models focused on Databricks. Core responsibilities include Data Engineering & ETL (Extract, Transform, Load), SQL & Databases and Python. Day-to-day work involves tools such as Databricks & Spark and Snowflake. The position also requires solid skills in Data Modeling and Git & Version Control.

Builds and operates data pipelines and models focused on Snowflake. Key focus areas are Data Engineering & ETL (Extract, Transform, Load), SQL & Databases and Python. The daily toolkit includes Snowflake and dbt. Proven skills in Data Modeling and Git & Version Control round out the profile.

Builds and operates data pipelines and models focused on Streaming/Kafka. Key focus areas are Data Engineering & ETL (Extract, Transform, Load), SQL & Databases and Python. The daily toolkit includes Kafka & Event Streaming and Snowflake. Proven skills in Data Modeling and Git & Version Control round out the profile.

Builds and operates data pipelines and models focused on dbt/Analytics. Core responsibilities include Data Engineering & ETL (Extract, Transform, Load), SQL & Databases and Python. Day-to-day work involves tools such as dbt and Looker. The position also requires solid skills in Data Modeling and Git & Version Control.

Defines standards, roles and processes for data quality and data usage. Core responsibilities include Data Quality & Governance, Data Modeling and Data Privacy Basics (GDPR). The position also requires solid skills in SQL & Databases and Process Modeling (BPMN).

Researches stories based on data analysis. Core responsibilities include Journalistic Research, Professional Writing and Information Research & Source Verification. Day-to-day work involves tools such as Data Visualization (Power BI/Tableau). The position also requires solid skills in Editorial Work and Storytelling.

Advises on data protection law and supports GDPR implementation. The role centres on Legal Research & Opinions, Data Protection Law (GDPR) and Contract Law & Drafting. Sound knowledge of Litigation and Negotiation & Deal Closing is expected as well.

Owns data products, metric contracts and the data platform roadmap. Core responsibilities include Product Management & Roadmapping, Data Modeling and SQL & Databases. Day-to-day work involves tools such as Jira & Confluence and dbt. The position also requires solid skills in Data Quality & Governance and Stakeholder Management.

Monitors compliance with data protection law and advises on GDPR matters. Key focus areas are Data Protection Law (GDPR), Compliance & Regulation and Audit Execution. Proven skills in Deadline & Docketing Management and Business Correspondence (DIN 5008) round out the profile.

Monitors and improves the quality of company data. Key focus areas are Data Quality & Governance, Quality Management (ISO 9001) and SQL & Databases. Proven skills in Audit Execution and Failure Mode and Effects Analysis (FMEA) round out the profile.

Develops statistical models and machine learning solutions from company data. The role centres on Python, Machine Learning and Statistics & Data Analysis. Typical tools include Data Visualization (Power BI/Tableau) and Statistical Software (SPSS/R). Sound knowledge of SQL & Databases and Deep Learning & Neural Networks is expected as well.

Develops Computer Vision models from exploration to production. Key focus areas are Python, Machine Learning and Statistics & Data Analysis. The daily toolkit includes Statistical Software (SPSS/R). Proven skills in Deep Learning & Neural Networks and SQL & Databases round out the profile.

Develops Forecasting models from exploration to production. Core responsibilities include Python, Machine Learning and Statistics & Data Analysis. Day-to-day work involves tools such as Statistical Software (SPSS/R). The position also requires solid skills in Time Series Analysis & Forecasting and SQL & Databases.

Develops Fraud & Risk models from exploration to production. Core responsibilities include Python, Machine Learning and Statistics & Data Analysis. Day-to-day work involves tools such as Statistical Software (SPSS/R). The position also requires solid skills in SQL & Databases and Experiment Design & Causal Inference.

Develops Generative AI models from exploration to production. Key focus areas are Python, Machine Learning and Statistics & Data Analysis. The daily toolkit includes Large Language Model Integration (LLM, OpenAI/LangChain) and Statistical Software (SPSS/R). Proven skills in Retrieval-Augmented Generation (RAG) & Vector Databases and SQL & Databases round out the profile.

Develops Marketing & CRM models from exploration to production. Key focus areas are Python, Machine Learning and Statistics & Data Analysis. The daily toolkit includes Statistical Software (SPSS/R) and Google Analytics 4. Proven skills in A/B Testing & Experimentation and SQL & Databases round out the profile.

Develops NLP/LLM models from exploration to production. The role centres on Python, Machine Learning and Statistics & Data Analysis. Typical tools include Large Language Model Integration (LLM, OpenAI/LangChain) and Statistical Software (SPSS/R). Sound knowledge of Natural Language Processing and SQL & Databases is expected as well.

Develops Pricing models from exploration to production. The role centres on Python, Machine Learning and Statistics & Data Analysis. Typical tools include Statistical Software (SPSS/R). Sound knowledge of SQL & Databases and Experiment Design & Causal Inference is expected as well.

Develops Recommender models from exploration to production. The role centres on Python, Machine Learning and Statistics & Data Analysis. Typical tools include Statistical Software (SPSS/R). Sound knowledge of Recommender Systems and SQL & Databases is expected as well.

Owns data quality and definitions of a data domain. Key focus areas are Data Quality & Governance, Data Modeling and SQL & Databases. Proven skills in Cataloguing & Metadata and Stakeholder Management round out the profile.

Tells stories with interactive graphics and maps. Core responsibilities include Storytelling, Journalistic Research and Statistics & Data Analysis. Day-to-day work involves tools such as Data Visualization (Power BI/Tableau). The position also requires solid skills in Editorial Planning & Content Calendar and JavaScript / TypeScript.

Designs the architecture and data models of enterprise data warehouses. The role centres on Data Engineering & ETL (Extract, Transform, Load), SQL & Databases and Warehouse & Inventory Management. Typical tools include SAP MM/SD (Materials Management & Sales) and Snowflake. Sound knowledge of Data Modeling and Python is expected as well.