> Markdown version of [/jobs/ext/4110349-data-scientist](https://www.wearedevelopers.com/jobs/ext/4110349-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Siemens Energy - **Location:** Berlin, Germany - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Data Cleansing, Data Visualization, Data Warehousing, Python (Programming Language), SQL Databases, Tableau (Software), Scripting, Snowflake, Information Technology, Data Pipelines, Alteryx - **Published:** October 3, 2026 - **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/15170-466014228-S ## About the Role * Bachelor's or Master's degree in computer science, data science, business informatics, or a similar field * Strong proficiency in SQL and hands-on experience with Snowflake (data warehousing, querying, data modeling) * Experience with Alteryx for data preparation, blending, and workflow automation, as well as Tableau for data visualization * Strong analytical thinking, including the ability to understand complex processes and data relationships, combined with experience in process analysis and a structured, solution-oriented way of working * Python skills for data analysis, scripting, and automation (nice to have) * Fluency in German and English along with an agile mindset ## Description * Design, development, and maintenance of data products and data pipelines using SQL, Snowflake, and Python * Building and optimization of analytical workflows in Alteryx to support business process analysis * Creation of interactive dashboards and reports in Tableau for key business data and KPIs * End-to-end analysis of complex business processes, identification of inefficiencies, and derivation of data-backed improvement measures * Close collaboration with business stakeholders and cross-functional teams for the translation of requirements into technical solutions * Application of agile project management methods and contribution to the continuous improvement of the data product portfolio