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Amsterdam
1 day ago
Senior Data Engineer logo

Senior Data Engineer

Adyen

Amsterdam
1 day ago
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Senior Data Engineer

Adyen is seeking a Senior Data Engineer to join their Amsterdam office, focusing on building high-quality data pipelines and architectures on their Big Data Platform. The role involves collaborating with stakeholders, championing data best practices, and optimizing performance. Candidates need over 7 years of experience and proficiency in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git.

HybridFull-timeSeniorPythonPySpark

Senior Data Engineer

Adyen is seeking a Senior Data Engineer to join their Amsterdam office, focusing on building high-quality data pipelines and architectures on their Big Data Platform. The role involves collaborating with stakeholders, championing data best practices, and optimizing performance. Candidates need over 7 years of experience and proficiency in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git.

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HybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

7 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
PythonPySparkApache AirflowApache HadoopApache SparkApache KafkaSQLGitPytestData EngineeringSoftware EngineeringData PipelinesData ArchitectureELTData Governance
Soft Skills
CommunicationMentoringSelf-starterInnovationCollaborationProblem Solving

Key Responsibilities

  • •Engage with stakeholders to understand requirements and craft effective solutions.
  • •Design, develop, deploy and operate high-quality production ELT pipelines and data architectures.
  • •Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability.
  • •Design scalable architectures.
  • •Establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability.
  • •Ensure data is accurate, complete, reliable, relevant, and timely.
  • •Implement rigorous testing, monitoring and validation protocols for code and data.
  • •Identify and resolve performance bottlenecks in data pipelines and systems.
  • •Optimize query performance and resource utilization to meet SLAs and performance requirements.
Senior Data EngineerFinancial ServicesInformation TechnologyBig DataData PipelinesPythonPySparkApache SparkApache KafkaHybrid
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