Cloud Engineer

Randstad Digital is at the forefront of transforming the digital landscape, committed to delivering exceptional outcomes for our clients' businesses and their customers. With over 25,000 engineers and digital experts worldwide, we specialize in accelerating digital enablement across various industries. Join us and be part of a talent-first organization that thrives on innovation and excellence.

Activities:

• FinOps Automation & Engineering: Think strategically with the team on how to migrate, optimize, build, and architect the current data model into a new data management model using public cloud offerings (GCP or AWS), always maintaining an automation mindset.
• End-to-End Data Model Ownership: Own the entire data lifecycle—collecting, extracting, and cleaning large-scale cloud billing and multi-cloud usage data, while understanding the underlying source systems.
• Pipeline Construction & Maintenance: Design and build production data pipelines from ingestion to consumption within a hybrid big data architecture.
• Continuous Improvement & Scaling: Add new data sources, code business rules, and produce new metrics to support reports and scorecards used to drive C-level executive decisions.
• Advisory & Optimization: Advise and provide recommendations on potential areas where data streams can be optimized.
• Architecture & Data Quality: Apply data quality standards (availability, integrity, confidentiality, timeliness, frequency, and completeness) to support analytical requirements.
• Indexing & Transformation: Transform data, manage data reuse, and index data for performance optimization.
• Collaboration & Stakeholder Engagement: Interact with diverse roles (cloud optimization engineers, technical account managers, architects, financial controllers) and engage global suppliers/partners to solve technical challenges.

Requirements:

• Professional Experience: Minimum 5 years of professional experience as a Data Engineer or in a similar role.
• Education: Bachelor's or Master's degree in Computer Science, Informatics, or equivalent experience.
• Public Cloud Experience: Proven experience in solution building and architecting with public cloud offerings such as GCP (e.g., BigQuery, DataPrep, Looker Studio/DataStudio) or AWS (e.g., S3, Redshift, Athena).
• Quality & Testing: Experience in test automation and ensuring data quality across multiple analytical datasets.
• Big Data & APIs: Strong command of Big Data architectural best practices and solid understanding of building RESTful APIs.
• Strong proficiency in Python and GCP databases.
• Advanced knowledge of SQL and NoSQL database techniques and systems, database design, data modeling, and normalization.
• Ability to build data pipelines using any development language.

Net Salary: €2,500 – €2,700 net per month