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You will be updated with latest job alerts via emailQuant IP is the leading patent data and analytics provider for financial markets. We serve global financial institutions with data and software solutions to enhance investment decisions.
For our small growing team we are looking for a experience developer in Munich. Were seeking a highly skilled tech polyglot comfortable wearing multiple hats across data engineering research and software architecture. You willown the end-to-end data lifecycle: from ingesting and transforming complex patent and product data to developing and optimizing algorithms to managing workflows and ensuring data quality at scale.
This role is perfect for someone who thrives in startup environments loves diving into
unfamiliar tech stacks and enjoys building scalable automated systems from the ground up.
At Quant IP you will
Develop optimize and maintain complex ETL pipelines to process large volumes of patent and product data
Design and implement robust data workflows and orchestration (e.g. Airflow or customsolutions)
Build scalable data models and algorithmic solutions tailored to QIPs proprietary data
Conduct deep research and exploratory analysis to generate actionable insights
Collaborate cross-functionally with sales product engineering and research teams tointegrate data solutions into production
Ensure code quality documentation and reproducibility across data projects
Continuously explore new tools frameworks and methods to improve system reliability and performance
Quant IP is looking for
Tech Polyglot Mindset: Proficiency across data science engineering and software
architecture
Strong experience with Python and SQL including data manipulation and querying
Deep understanding of ETL processes and workflow orchestration tools
Hands-on experience with Linux and Cloud environments (Snowflake AWS or similar)
Proven ability to develop and optimize algorithms for complex domain-specific datasets
Familiarity or strong interest in patent/IP data or similar specialized data domains
Solid grasp of data architecture and scalable system design
Research-driven with strong problem-solving and analytical skills
Comfortable working independently and collaboratively in a startup environment
Excellent communication skills and ability to document work clearly
Bonus
Experience with workflow management tools like Apache Airflow
Experience with search technologies like Apache Solr
Background in intellectual property financial markets quantitative analysis
Exposure to containerization (Docker/Kubernetes) and CI/CD pipelines
Prior startup experience or working with proprietary tech stacks
At Quant IP you would
Work on unique impactful problems in the intersection of tech IP and data
Join a tight-knit high-impact startup team with room to grow and innovate
Shape the future of data workflows and analytics from day one
Enjoy an environment with a strong emphasis on learning and ownership
Full Time