EUROPEAN DYNAMICS
Data Engineer- Spark Developer
Remote Data Engineering role with clear candidate location fit.
PostedJun 22, 2026
Eligible countries38 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Role overview
Data Engineer- Spark Developer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
What You'll Do:
- Design, develop, test, deploy, maintain, and improve data pipelines;
- Coding using Apache Spark on Azure Databricks;
- Design and develop big data architectures using Azure Data Factory, Service Bus, BI, Databricks, and other Azure Services.
Requirements
- Bachelor's degree in Computer Science or Software Engineering;
- Strong analytical skills, team - and quality-oriented, keen to learn and excel;
- Thorough knowledge of Apache Spark;
- Experience as a Data Engineer;
- Advanced knowledge of Python or Scala;
- Spark query tuning and performance optimization;
- Experience with cloud platforms (Azure, AWS, or GCP);
- Fluency in verbal and written English.
Nice-to-Have Qualifications:
- Understand and analyze DAG operations;
- Provide cost estimates for big data processing;
- Write and review architecture documents.
Benefits
- Competitive full-time salary;
- Private Health Coverage on the Company’s group program;
- Flexible Working Hours;
- Top-of-the-Line Tools;
- Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
- Career Growth: Work with some of the most innovative and exciting specialists in the industry;
- Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
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Hiring flow
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