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Remote Data Engineer - Databricks & Neo4j (EU)
Job summary
A leading technology firm is looking for a Data Engineer experienced in Databricks, Teradata, and Neo4j. This remote role requires candidates based in Europe. The ideal candidate has 5–7 years of experience in data engineering, strong skills in Python, and knowledge of cloud platforms. Responsibilities include designing scalable data pipelines and integrating complex datasets. Join a global team focused on cutting-edge data technologies.
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 modeling).
- Strong scripting and coding experience in Python.
- Experience working with cloud platforms (Azure/AWS/GCP).
- Strong understanding of ETL/ELT concepts and distributed data processing.
Responsibilities
- Design, develop, and optimize scalable data pipelines using Databricks.
- Integrate structured and unstructured datasets for analytics.
- Develop and optimize data models on Teradata.
- Implement graph-based data solutions using Neo4j.
- Collaborate with solution architects to design robust solutions.
Skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.