Senior Data & Python Software Engineer

At Ceartas, we lead the way in AI-powered brand protection, copyright law, and digital security,

safeguarding the integrity of content creators, brands, and enterprises worldwide. As we scale

rapidly, we're looking for a Data & Python Software engineer to drive innovation in our data

pipelines and crawling technologies. In this pivotal role, you'll collaborate with our CTO and

Head of Engineering, steering our Data Engineering Team toward developing groundbreaking

solutions for digital security challenges.

Build Scalable Web Data Extraction Pipelines

Design and develop web scraping systems that support large-scale web data extraction and

brand protection workflows. Ensure that data moves reliably from collection through processing to storage while maintaining performance, resilience, and operational stability at scale.

Ensure Data Quality and Governance

Own data validation, consistency, and governance across ingestion, storage, and serving layers.

Establish clear standards for schema design, transformation logic, and monitoring to guarantee

trustworthy, production-grade datasets that can be reliably consumed across the organization.

Optimize Performance and Reliability

Continuously improve scraping system efficiency through performance tuning, cost optimization, and architectural enhancements. Implement logging, metrics, and tracing to monitor production systems, diagnose issues quickly, and maintain high reliability under growing workloads.

Responsibilities

Design, build, and maintain high-performance web scraping systems as well backend services and data pipelines supporting web data extraction and brand protection use cases

Implement and maintain scraping focused APIs and other data services that power internal products and external integrations

Build reliable ingestion, processing, and storage workflows for large-scale web data

Handle cleaning of web data and ensure data quality, validation, and governance across ingestion, storage, and serving layers

Optimize scraping systems for performance, scalability, reliability, and cost efficiency

Monitor, debug, and improve scraping system reliability using observability tools (logging, metrics, tracing)

Collaborate closely with product and engineering teams to deliver features from design through full end-to-end production deployment

Take independent ownership of systems in production, including maintenance,

iteration and performance management

Core Technical Requirements

Experience with web scraping

Strong SQL skills

Strong Python experience

Experience with PostgreSQL or similar relational databases

Experience designing and building scalable APIs and backend services (e.g. FastAPI, Django, or similar frameworks)

Experience designing efficient, scalable data models and database schemas

Hands-on experience deploying and operating systems in the cloud (AWS, GCP, or Azure)

Experience working with Docker and containerized environments

Preferred Technical Requirements

Experience with workflow orchestration tools such as Airflow

Experience with browser-based automation tools (Playwright, Selenium, or similar)

Experience with DBT or analytics-focused data transformation workflows

Experience building or operating high-concurrency systems and task queues

Experience designing and deploying cloud-native workflows on AWS

Familiarity with CI/CD pipelines and production deployment practices

Experience working in a high-growth, early-stage startup environment

Experience - University education in a technical field such as Computer Science, Engineering or similar. Masters level preferred. 4+ years ( or 2 year+ in a early stage startup)

Find more English Speaking Jobs in Germany on Arbeitnow