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Senior Data Engineer

WorkMotion is a company providing cloud-native data infrastructure solutions.
Data
Senior Software Engineer
Remote
3+ years of experience
Enterprise SaaS

Job Description

WorkMotion is seeking a Senior Data Engineer to join their team and play a crucial role in developing and maintaining their modern, scalable, cloud-native data platform. This position offers an exciting opportunity to work with cutting-edge technologies and build robust data pipelines in a fast-paced environment. The role involves designing and implementing ETL pipelines using Apache Airflow and AWS Glue, working with various data sources, and managing data lake infrastructure. You'll be part of an international team with the flexibility to work remotely across Europe.

The ideal candidate should have 3-5 years of experience in Data Engineering or Software Development, strong knowledge of Python, SQL, and PySpark, and extensive experience with AWS services. You'll be responsible for ensuring data quality, performance, and reliability while collaborating with cross-functional teams. The position offers competitive compensation, personal development opportunities, and the chance to work with modern technologies in an agile environment.

This role is perfect for someone who is passionate about data engineering, enjoys solving complex problems, and wants to contribute to building and maintaining a sophisticated data infrastructure. You'll have the opportunity to work with a variety of technologies and tools while helping to shape the company's data architecture and practices.

Last updated 3 months ago

Responsibilities For Senior Data Engineer

  • Design, build, and maintain scalable ETL pipelines using Apache Airflow and AWS Glue (Spark)
  • Work with data sources including Salesforce, NetSuite, PostgreSQL, and MongoDB
  • Develop and optimize PySpark jobs for large-scale data transformation and analytics
  • Manage data lake infrastructure using Delta Lake on S3 with Athena
  • Ensure data quality, performance, and reliability
  • Collaborate with analytics, product, and engineering teams
  • Contribute to CI/CD workflows with GitHub
  • Participate in architectural discussions

Requirements For Senior Data Engineer

Python
MongoDB
PostgreSQL
  • 3-5 years of professional experience in Data Engineering or Software Development
  • Strong knowledge of Python and SQL; and PySpark
  • Hands-on experience with AWS services (Glue, S3, Athena, EC2)
  • Experience with Apache Airflow in a Dockerized/cloud-native environment
  • Familiarity with Delta Lake or similar data lake frameworks
  • Proficiency with source control (GitHub) and CI/CD workflows
  • Strong understanding of data modeling, ETL best practices, and pipeline optimization

Benefits For Senior Data Engineer

Education Budget
  • Work with cutting-edge, cloud-native data infrastructure
  • Join an international team with flexible remote work opportunities across Europe
  • Collaborate in a modern agile environment
  • Personal development budget and career growth opportunities
  • Competitive compensation and benefits tailored to the European market

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