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Job Type

Full Time

Job Description

Making a difference and driving positive change is what we do every day at Rapid Circle. Our Cloud Pioneers help our clients in their digital transformation. Are you someone who goes for constant, positive change? Then this vacancy is for you!As a Cloud Pioneer at Rapid Circle, you will work with our customers on different projects. For example, making impact in the healthcare sector, by making research data safely available. But also, awesome projects in the manufacturing or energy market make this job very challenging.At Rapid Circle we are curious and are constantly improving our expertise to help customers find their way in a rapidly changing world. We share our knowledge and discover new ways to learn.Rapid Circle is growing rapidly and are therefore looking for the right person for the role. You will be given lots of freedom to develop personally. We also have a lot of in-house knowledge (MVPs) within the Netherlands, Australia, and India. By working closely with your (international) colleagues, you can continue to challenge yourself and create your own growth path. Freedom, entrepreneurship, and development are key at Rapid Circle, so also in the role of a Data Engineer.We are looking for a skilled Data Engineer to design, build, and optimize scalable data pipelines and analytics platforms.You will be responsible for developing robust ETL/ELT processes, ensuring data reliability, and enabling data-driven decision-making across the organization.This role requires strong technical expertise in modern data technologies and a passion for solving complex data challenges.

Key Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines using Databricks (PySpark/SQL).
  • Optimize data processing workflows for performance, scalability, and cost-effectiveness.
  • Implement and manage data storage solutions, ensuring data quality, integrity, and accessibility.
  • Collaborate with data analysts, scientists, and business teams to understand data requirements and deliver effective solutions.
  • Monitor pipeline performance, troubleshoot issues, and ensure high availability of data systems. Document data engineering processes, data models, and pipeline architectures.

Must-Have Qualifications

  • 3-5 years of hands-on experience as a Data Engineer.
  • Strong proficiency in Databricks with expertise in PySpark and SQL for data transformation and analysis.
  • Proven experience in end-to-end pipeline development, deployment, and optimization.
  • Solid understanding of data modeling, ETL/ELT design patterns, and data warehousing principles. Experience working with cloud data platforms (Azure, AWS, or GCP).

Good-to-Have Skills

  • Experience orchestrating pipelines using Azure Data Factory (ADF) or similar tools.
  • Knowledge of Delta Lake for managing data lakes with ACID transactions.
  • Skills in performance tuning of Spark jobs and SQL queries.
  • Familiarity with version control (Git) and DevOps practices (CI/CD for data pipelines).
  • Exposure to data visualization tools (Power BI, Tableau) or data governance frameworks.

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