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Data Scientist / Data Engineer

I2Dconsulting — Netherlands · Posted ~2 hours ago

Mid Contract Hybrid Visa History ✓

Skills

PySpark Python Data engineering Data science Data transformation Large-scale data processing Production-ready coding Azure

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Summary ✨ AI‑Generated

Work as a Data Scientist or Data Engineer on scalable data solutions involving large transaction datasets. You will build and maintain data models, perform transformations, process high volumes of information with PySpark and Python, and deliver production-ready solutions in a hybrid environment.

Highlights

One-year hybrid contract with possible extension, combining data science and engineering responsibilities. The role offers substantial hands-on work with PySpark, Python, large-scale data processing, and production-ready solutions.

Description

Data Scientist / Data Engineer Location: Eindhoven, Netherlands Project Duration: Approximately 1 year, with possible extension Work Model: Hybrid – 2 days onsite / 3 days remote Working Hours - 36-40 Hrs/Week Experience: Minimum 4 years relevant experience Language: Professional English Role Overview The Data Scientist / Data Engineer will develop and maintain a transaction monitoring data model, process large volumes of data, and build scalable, production-ready data solutions. This role is suitable if you have at least 4 years of relevant work experience as a Data Scientist or Data Engineer and have previously worked with PySpark. Must-Have Requirements Minimum 4 years of relevant professional experience. Experience as a Data Scientist or Data Engineer. Strong hands-on experience with PySpark. Strong Python experience. Experience with data transformations. Experience with scalable and large-volume data processing. Ability to develop production-ready code. Professional proficiency in English. Strong communication skills. Strong problem-solving ability. Proactive working approach. Ability to work effectively with developers, data producers and other stakeholders. Ability to critically reflect on own work and development. Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Information Studies, or a comparable STEM discipline. Nice-to-Have Requirements Databricks. Airflow. Microsoft Azure. Medallion Architecture. Experience working in an IT environment. Knowledge or experience in transaction monitoring. Experience working with large-scale international data models. Key Responsibilities Develop and maintain the transaction monitoring data model. Connect and process data from multiple sources. Process large data volumes in a scalable manner. Write, optimise and maintain production-ready code. Perform data transformations using Python and PySpark. Help build and maintain a monorepository. Support onboarding of new regions into the data model. Coordinate with data producers regarding data sources and data quality. Work with developers who build transaction monitoring logic. Help ensure the technical soundness and reliability of the data model. Technical Environment Python | PySpark | Databricks | Airflow | Azure | Data Transformation | Scalable Data Processing | Transaction Monitoring Tgineering #DataScience #BigData #DataTransformation #TransactionMonitoring #MedallionArchitecture Interested resources may share you profile to careers@i2d.consulting