Senior Data Engineer, 5CA

• Master’s degree in Computer Science, Information Technology, or a related field. Or equivalent experience
• Minimum 5 years in Data Engineering
• Advanced programming skills in Spark, ADF, Python and T-SQL
• Expert-level knowledge of PySpark and Spark SQL, including performance tuning
• Proven experience with API interfaces and JSON file ingestion
• Knowledge in git/azure devops for version control and collaboration
• Comprehensive understanding of Microsoft Azure ecosystems. Experience with data system architecture and information security (MS Purview)
• Proficiency in Azure DevOps for code maintenance and CI/CD
• Experience with PowerBI, GenAI, and/or Fabric is a significant advantage
• Proven experience as a DevOps Engineer is a strong plus
• Demonstrated ability to mentor and coach junior and medior engineers
• Strong business acumen to identify and implement scalable data solutions
• Effective collaboration and leadership across multi-disciplinary teams
• Strong communication skills for articulating complex data concepts
• Ability to work from the Utrecht office on a Hybrid setting, or remote with the ability to work in the CET time-zone

• As a 5CA Senior Data Engineer you will take ownership of our data landscape to ensure it can scale with the growth of our business. Design, implement, and optimize data models and data pipelines. Ensure robust and efficient data processing to empower data analysts and data scientists. Lead the evolution of our next-gen cloud Data Platform. Drive initiatives to improve data reliability, efficiency, and quality across the organization
• Design, deploy, and manage scalable solutions using cloud platforms such as Azure and Databricks
• Lead integration of data sources with Data Lake storage using ADF pipelines and perform ETL activities through Notebooks
• Utilize Git or Azure DevOps for version control and collaboration, and develop scalable data solutions
• Expertise with Databricks clusters optimization and powershell scripting
• Collaborate with Data Engineers, Data Scientists, and Data Analysts to ensure effective and efficient data usage
• Drive the adoption of new technologies and lead future improvement initiatives
• Own and continuously evolve our data landscape to support business growth and scalability
• Ensure efficient and reliable data processing workflows to maximize performance for analysts and scientists
• Strategically identify, plan, and execute improvements in data reliability, efficiency, and quality
• Lead the design and implementation of advanced data models and pipelines
• Mentor and coach junior and medior team members, fostering professional growth and technical expertise
• Establish and promote best practices for data modeling, quality processes, and standards for big data and cloud platforms
• A minimum internet speed of 10 Mb/s download and 10 Mb/s upload internationally
• A minimum of 8 GB RAM
• A 64-bit version of Windows 10 or newer, or macOS 10.11 or newer
• An Intel Core i5-8260U or better/similar
• A smartphone usable for two-factor authentication that runs at least:
• Android 8.0 or newer
• Apple iOS 15.0 or newer

5CA is a remote-first customer support outsourcing provider, delivering global multilingual CX services for gaming and consumer electronics businesses. Its network of work-from-home agents supply 24/7 support, that can scale alongside clients' needs.