Data Engineer

What do you drive for us? As a Data Engineer at Randstad, you will play a pivotal role in designing, implementing, and maintaining our data infrastructure on Google Cloud Platform. You will work closely with our business intelligence, engineering, and business teams to ensure that our data is collected, stored, processed,and analyzed effectively, enabling us to make informed decisions and drive impactful outcomes.

Your Key Knowledge Areas shall be: ● Deep understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing and data lakes: Strong understanding of data warehousing concepts, data lake architectures, and best practices for data management. ● Data pipeline development: Proficiency in building data pipelines using tools like Apache Beam, Apache Spark, or other relevant technologies. ● SQL and Python programming: Strong command of SQL for data querying and manipulation, and proficiency in Python for data analysis and automation. ● Data governance and security: Understanding of data governance principles, data security best practices, and compliance requirements. What do you bring with you? ● 4+ years of experience as a Data Engineer / Data Architect or similar role: Proven track record of designing and implementing data solutions on Google Cloud Platform. ● Strong analytical and problem-solving skills: Ability to analyze complex data challenges and provide innovative solutions. ● Excellent communication and collaboration skills: Proven ability to effectively communicate technical concepts to both technical and non-technical audiences. ● Passion for data and technology: A genuine interest in data, its potential, and the latest advancements in data technology.