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.
Top Skills
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains.
Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence.
We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities.
Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices.
We are working with our clients across Middle East and Africa Region.
