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Andercore
Andercore
51 – 200 Angajați
ConstrucțiiLogisticăPiață online
Andercore este o platformă de comerț și distribuție B2B bazată pe inteligență artificială, care deservește sectoarele infrastructurii, energiei și materialelor de construcții. Platforma ajută la conectarea furnizorilor globali cu cererea locală din Europa, Orientul Mijlociu și Africa de Nord și Asia, printr-un flux de achiziții ghidat care reunește prețuri și disponibilitate în timp real, logistică și distribuție, finanțare și plăți, precum și gestionarea calității și a conformității.
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Locurile de muncă ale companiei

Senior Data Platform Engineer – Berlin On-Site

Join Andercore as a Senior Data Platform Engineer building Databricks infrastructure for an AI-native industrial materials trading platform. Shape commercial and logistics data for pricing, forecasting, and agentic AI applications.

DEGermaniaLa sediuNormă întreagăSeniorLimbă Obligatorie: englezăInginer de date
ERPKafkaPythonSparkSQLUnity

Descriere

  • Own the Databricks lakehouse across ingestion, storage, architecture, orchestration, and governance
  • Create trusted datasets from commercial and logistics data such as quotes, orders, margins, suppliers, and shipments
  • Work with the Head of Data to convert business questions into reusable datasets and metrics
  • Develop data foundations for pricing, forecasting, and AI agents, including features, signals, historical snapshots, and feedback loops
  • Build quality checks, monitoring, and alerts for pipeline failures and schema drift
  • Apply near-real-time or batch processing according to business needs
  • Define standards for Andercore’s first dedicated data platform function
  • Partner with finance, sales, procurement, logistics, founders, and commercial teams

Cerințe

  • At least five years of data engineering experience with ownership of a platform, not only individual pipelines
  • Strong SQL and Python skills
  • Practical experience with Spark and lakehouse architectures
  • Databricks experience is strongly preferred, including Delta Lake, Workflows, and Unity Catalog
  • Experience using a CRM or ERP as a core source system
  • Experience modeling manually maintained, inconsistent operational data
  • Comfort with infrastructure as code
  • Experience applying version control, CI, and testing to data software engineering
  • Ability to communicate with non-technical stakeholders and appropriately challenge requests
  • Ability to work effectively in a Series B company with changing priorities and incomplete specifications
  • Experience using AI coding tools and understanding when to apply them
  • Streaming experience with Kafka, Kinesis, or an equivalent technology is a plus
  • Machine learning and statistical analysis experience, particularly in forecasting or pricing, is a plus
  • Salesforce experience is a plus
  • Background in commerce, marketplaces, or supply chain is a plus
  • Interest in catalog, pricing, and fulfilment challenges is a plus
  • A degree in Computer Science, Engineering, or a related field is a plus
  • Ability to work on-site in Berlin five days per week and address German work authorization and visa sponsorship requirements is required.
  • benefits

Beneficii

  • Hybrid working arrangement in Berlin
  • Direct access to the founders and commercial teams
  • End-to-end ownership of the data platform function
  • Opportunity to lead a small data engineering team as the company grows

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