• Design, develop, and maintain scalable and robust ETL pipelines (including optimised queries, programs, and automated processes) to accommodate increasing data volume, velocity, and complexity, while ensuring high standards of data quality. This includes implementing new data organisation strategies.
• Collaborate with analytics and business teams to enhance data-driven insights derived from a centralized data lake, championing the concept of a single source of truth. This involves developing data models leveraging business intelligence, data science tools, and other relevant technologies to improve data accessibility and promote a data-driven culture.
• Develop and execute comprehensive unit and integration tests, and contribute to internal knowledge sharing by maintaining and updating engineering documentation and wikis. This also includes mentoring and sharing best practices. Actively contribute to team growth by identifying opportunities to leverage the team's collective expertise.
• Guarantee data quality and production stability through proactive monitoring and the implementation of best-practice data engineering methodologies.
• Conduct thorough data analysis to identify, troubleshoot, and resolve data-related issues. This includes designing and implementing data integration and data cleansing processes.
• Partner effectively with cross-functional teams, product managers, and business stakeholders to understand requirements and deliver impactful data solutions. This requires excellent communication skills, including the ability to clearly articulate technical concepts to non-technical audiences and take proactively ownership. Foster a collaborative team environment by promoting open communication and actively seeking input from team members in the decision process.

• Extraordinary analytical, problem-solving and self-learning skills along with great team spirit
• Communication skills and out-of-the-box-mindset
• Degree in Computer Science, Informatics or a comparable subject (Machine Learning, Mathematics, Applied Statistics)
• Programming experience in Python; additional experience in an object oriented programming language is a plus
• Familiarity with SQL/NoSQL data management and Kimball Star Model Schema 
• 4+ years with ETL and Datawarehouse concepts
• Profound Communication Skills
• German language and Trino knowledge skills are a plus

• Time: Flexible working hours, 30 vacation days from the start & a good work-life balance
• Mobility: A €50 subsidy for the Deutschlandticket & a super central office in FFM-City
• Home: Modern office with chill areas, drinks, snacks, fresh fruit & the best barista coffee, subsidized lunch in our partner canteen  
• Flexibility: Unlimited mobile working in Germany, up to 3 months in the EEA area
• Support: Childcare allowance of €300/net per child, BAV and company disability insurance with generous subsidy
• Health: Wellpass for a wide range of sports & wellness activities throughout Germany
• Growth: Extensive onboarding in all areas, regular feedback & coaching 
• Family: Flat hierarchies with support at all levels, regular team events and large company parties; as well as lots of fun together every day

We look for personalities that want to leave a footprint in the insurance industry with us. Talents, whose imagination knows no limits and who can scale processes, structures, and ideas without problems. Thinking big, leading courageously, and a passion for the concerns of our partners are daily business for us. Besides our benefits, we especially offer one thing: a professional home, in which we stick together like a family, and in which every day is a little bit like day one. So: Do you want to create the digital future of the insurance industry with us? Then apply now and become part of the Thinksurance family!

Sarah Behrens & Jule Marie Bosch - Recruiting & HR Manager