Data Engineer

Talent you’ll bring into our team:

• 4+ years building and optimizing large‑scale data platforms in cloud environments (AWS/Azure)
• Knowledge of Python and SQL for analytical workloads
• Familiarity with modern Lakehouse / streaming architectures and tools such as Databricks, Kafka, Spark
• Ability to translate business requirements into resilient, scalable data solutions and to mentor peers through code reviews and best‑practice evangelism
• Upper-Intermediate or higher level of English for effective communication within the team

Nice-to-Have Skills:

• Experience with search technologies (Elasticsearch, Solr) and complex IP or litigation data models
• Hands‑on work with external patent‑data sources (DocDB, Espacenet, USPTO)
• Pandas / PySpark for exploratory analysis and rapid prototyping
• Knowledge of Delta Share, data‑product versioning and governance frameworks

Responsibilities:

• Build and maintain data pipelines for processing large volumes of structured and unstructured data in both batch and real-time
• Use Lakehouse patterns to combine data lake and warehouse capabilities for ML features and analytics
• Design APIs with built-in lineage tracking and access control for use across different business units
• Apply DataOps practices to automate testing, deployment, monitoring, and lifecycle management
• Promote clean code, code reviews, and A/B testing to improve data product quality.
• Work closely with ML engineers, developers, and domain experts to refine requirements and solve technical challenges
• Stay up to date with new tools and trends in data engineering to improve performance, scalability, and developer experience

Benefits program:

• Paid vacation, paid sick leaves, 10 Public holidays, additional days off
• Educational budget and support in receiving certificates/attending conferences, etc.
• English lessons

Comfortable Working conditions:

• Flexible working hours
• Amortization program or provision of required equipment