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◆ 7/10
datatechfintechweb3
About this role
Interexy is seeking a Senior Data Engineer to build and optimize scalable data pipelines in a fully remote project. Candidates must have strong experience with Databricks and PySpark.
Description
Interexy is looking for an experienced Senior Data Engineer to join a fully remote project focused on building and optimizing scalable data pipelines and cloud-based data platforms.
Responsibilities
- Build and maintain scalable data pipelines
- Develop and optimize ETL/ELT workflows using Databricks and PySpark
- Work with large datasets and distributed data processing
- Improve the performance, reliability, and scalability of data solutions
Requirements
- 4+ years of commercial Data Engineering experience
- Strong hands-on experience with Databricks
- Advanced knowledge of PySpark / Apache Spark
- Strong Python and SQL skills
- Experience with ETL/ELT pipelines
- Experience with AWS, Azure, or GCP
- Good understanding of Data Lakes and Data Warehousing
- English B2
- Candidate must be based in the EU
Conditions & Benefits
- Fully remote
- EU-based candidates only
- Project-based B2B cooperation
- Hourly payment
- Can be combined with your current employment
- Long-term collaboration
Job Details
Market range (est.)$120k–$245k
LocationRemote
AI Score★★★★★★★☆☆☆ 7/10
PostedAug 19, 2026 (7d ago)
Tags & Skills
datatechfintechweb3Data Engineerremote
Tech Stack
DatabricksPySparkPythonSQLETLELTAWSAzureGCP