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Data Engineer (PySpark, Databricks & Azure Data Factory)
Jobs post
- Italy, Western Europe Location
- Negotiable Salary
- SAP Technology
- Permanent Type
- Hybrid Workplace
Role: Data Engineer (PySpark, Databricks & Azure Data Factory)
Duration: 6 months + Possible extension
Role Type: Freelancing
Language: English, Italian (nice to have)
Location: 100% Remote
Capacity: 5 days a week
Seniority: minimum 5 years exp
Job Description:
Main Competencies:
python/ spark/ databricks
Azure Data Factory, CI/CD, YAML complete the profile.
Key responsibilities:
- Design and implement data pipelines in collaboration with our data users and other engineering teams.
- Ensure reliability, data quality and optimal performance of our data assets.
- Transpose complex business and analytics requirements into high-quality data assets.
- Deliver high-quality code, focusing on simplicity, performance and
- Where applicable re-design and implement existing data pipelines to leverage the newest technologies and best practices.
- Work with solution engineers, data scientists and product owners to deliver end to end products.
- Support our partners with proof-of-concept initiatives and data related technical questions.
Skills:
- Excellent software/data engineering skills and proficiency in at least one programming language, Python
- Good knowledge of distributed computing frameworks, Pyspark a must have with others being an advantage.
- Familiarity with system design, data structures, algorithms, storage systems, and cloud infrastructure.
- Understanding of data modeling and data architecture concepts.
- Experience with CI/CD processes as well as data testing and monitoring.
- Knowledge of Delta Protocol and Lakehouse architectures.
- Experience with Databricks and Azure services for data, such as Azure Data Factory, Synapse Analytics or Fabric
Skills plus:
- Ability to work effectively in teams with both technical and non-technical individuals.
- Ability to communicate complex technical concepts and results in a clear and detailed manner to non-technical audiences.
- Excellent verbal and written communication skills
Reference
CR/127395_1750242483
Date
18 Jun 2025
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