Data Engineer

vor 2 Wochen


Berlin, Deutschland Datamatics Technologies Vollzeit

Job Title:  Data Engineer (Databricks, Teradata & Neo4j) Location:  Remote (Candidates must be based in Europe) Experience:  5–7 Years Employment Type:  Full-Time Client Location:  Sweden Position Overview We are looking for an experienced  Data Engineer  with strong hands-on expertise in  Databricks ,  Teradata , and  Neo4j  to join a leading technology-driven team in Sweden. This is a  remote role , but we require candidates who are  currently residing in Europe  due to project compliance and collaboration needs. The ideal candidate will have a solid background in building scalable data pipelines, integrating complex data sources, and working with modern data platforms. Key Responsibilities: Data Engineering & Development Design, develop, and optimize scalable data pipelines using  Databricks  (PySpark/Spark). Build, maintain, and enhance ETL/ELT processes across multiple data environments. Integrate structured and unstructured datasets for downstream analytics and consumption. Develop and optimize data models on  Teradata  for performance and reliability. Implement graph-based data solutions using  Neo4j . Solution Design & Architecture Collaborate with solution architects and business teams to understand data needs and design robust solutions. Participate in system design sessions and contribute to architecture improvements. Ensure data quality, validation, and governance throughout the data lifecycle. Performance & Optimization Troubleshoot and optimize Spark jobs, Teradata SQL queries, and data workflows. Ensure highly available and high-performance data pipelines. Monitor data operations and automate workflows where possible. Collaboration & Communication Work with cross-functional teams including BI, Data Science, and Platform Engineering. Document technical designs, pipelines, and solutions clearly and thoroughly. Communicate effectively with remote stakeholders in a multicultural environment Required Skills & Qualifications 5–7 years  of experience as a Data Engineer. Strong, hands-on experience with Databricks  (Spark, PySpark, Delta Lake). Mandatory expertise in Neo4j  (graph modeling, Cypher queries). Solid experience with  Teradata  (SQL, performance tuning, data modelling). Strong scripting and coding experience in  Python . Experience working with cloud platforms (Azure/AWS/GCP) is preferred—Azure is a plus. Strong understanding of ETL/ELT concepts, data modelling, and distributed data processing. Excellent analytical, problem-solving, and communication skills. Ability to work independently in remote, cross-cultural teams. Preferred Qualifications Experience with CI/CD pipelines for data workflows. Knowledge of data governance, data quality frameworks, and metadata management. Exposure to real-time data processing technologies (Kafka, Event Hub, etc.) is an advantage. Additional Information Remote role – Europe-based candidates only  due to project requirements. Opportunity to work with a global team on cutting-edge data technologies. Powered by JazzHR



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