About the Company

HEADFOUND is a leading AI-powered digital recruiting company with offices in Germany, Poland, and Switzerland.

We combine modern technologies, automation, and artificial intelligence to make hiring processes more efficient and data-driven. By analyzing data from numerous sources with advanced algorithms and machine learning models, we generate a highly accurate picture of the job market and help our clients identify and hire the best talent.

Benefits

• Fully remote position (within Europe)

• Flexible contract types: Employment contract / Mandate contract / B2B

• Up to 30 days of annual leave (depending on contract type)

• Regular team events and workshops

Dein Aufgabenbereich

• Build and optimize lead generation and lead scoring systems to identify high-value sales opportunities based on behavioral and firmographic data

• Work with B2B intent signals such as job postings, funding signals, company growth indicators, and similar datasets

• Develop predictive models for sales and marketing use cases (e.g., propensity scoring, lead qualification models)

• Design and implement scalable data pipelines and ETL/ELT processes

• Develop and maintain data architectures, schemas, and data models

• Integrate and process data from external APIs and web sources

• Implement web scraping solutions to gather relevant market intelligence data

Das bringst Du mit

• Proven experience years with Databricks in production environments (Spark, Delta Lake, Workflows)

• Strong PySpark and Python skills for data transformation and processing

• Advanced SQL expertise for complex queries and data modeling

• Experience with ETL/ELT pipeline design and workflow orchestration

• Experience with API integrations

• Strong understanding of data architecture and scalable data models

• Experience with web scraping techniques and tools

• Fluent English

Ansprechpartner

Elena Kleshkova Recruiting Tel: +49 221 650 871 62 diese Nummer ist auch per WhatsApp erreichbar. Oder gerne auch per WhatsApp mit dem Schlagwort Senior Data Engineer (m/w/d) bewerben

Interne Job ID: ac298d25-607a-4704-81a1-2f6b952ea4b9