Data Engineer (Databricks, Neo4j)
Stockholm, Stockholm, Sweden
Full Time
Experienced
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
Required Skills & Qualifications
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.
- 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.
- 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.
- 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.
- 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.
- Remote role – Europe-based candidates only due to project requirements.
- Opportunity to work with a global team on cutting-edge data technologies.
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