Senior Data Engineer

KPMG N.V.
Amstelveen, Netherlands
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Amstelveen, Netherlands

Tech stack

Azure
Big Data
Data Architecture
Information Engineering
ETL
Data Warehousing
Database Design
DevOps
Hadoop
Python
Data Streaming
PySpark
Dynamic Data
Data Pipelines
Databricks

Requirements

Ben jij benieuwd naar de mogelijkheden voor jou als ZZP'er? Neem contact op - Discover life at KPMG Wat betekent het nu echt om te werken bij KPMG? Laat je inspireren door verhalen, video's en blogs van collega's. Senior Data Engineer As a Senior Data Engineer, you will play an integral role in data product delivery and harmonization of data architecture. Join us and use your expertise to translate data requirements into impactful solutions for KPMG. Amstelveen Solliciteren Jouw uitdagingen Do you want to work in the newly established and dynamic Data Office team and contribute to KPMG's data-driven future? As a Senior Data Engineer, you will play an integral role in data product delivery and harmonization of data architecture. Join us and use your expertise to translate data requirements into impactful solutions for KPMG. Dit neem jij mee Qualifications: - At least 5+ years proven experience in senior/lead data engineering, including design and implementation of complex data pipelines and ETL processes - Strong understanding of data modeling, database design, and data warehousing concepts - Experience with Azure (e.g., ADF, Synapse Analytics, Databricks) and big data technologies (e.g., PySpark, Hadoop) - Proficiency in Python and DevOps principles - Excellent problem-solving skills, attention to detail, and ability to collaborate effectively with cross-functional teams Wat ga je doen? Responsibilities - Design, develop, and maintain data architecture, including ETL processes from diverse sources to centralized repositories. - Collaborate with stakeholders and cross-functional teams to understand data requirements and deliver relevant solutions. - Implement and monitor data quality processes to ensure accuracy, consistency, and reliability. - Maintain up-to-date documentation of data flow designs and processes. - Stay current with emerging data technologies and contribute to continuous improvement of data engineer...

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