Senior Data Engineer (2 FTE)

Project overview

RET is looking for 2 FTE Senior Data Engineers. Freelancers ARE ALLOWED

About the assignment

The Data Office team is part of the IT Services department at RET. The team unlocks and processes data from various data sources and makes it available for analysis. Additionally, the team is responsible for the development and management of CREDO, RET's central data and analytics platform. CREDO is based on a lakehouse architecture in Microsoft Azure, with a medallion structure and Delta Lake. The team works closely with data analysts, data stewards, and other stakeholders to transform raw data into data products that contribute to business objectives.

Within the Data Community, best practices, standards, and architectural principles are safeguarded. Data governance, quality, security, and a well-functioning data chain are central to this. RET is currently undergoing a migration to Microsoft Fabric. The roadmap includes performance optimization, data quality, monitoring, and cost control. The organization strives for a secure, smart, and responsible way of working based on metadata-driven principles.

The role

As a Senior Data Engineer, you will play an important role in the further development of RET as a data-driven organization. You will work on both the delivery of data products and the further development and management of the CREDO platform. You will develop scalable and efficient data pipelines and contribute to data-driven processes within various business domains, including Asset Management, HR, and Finance. You are responsible for unlocking, processing, and dimensionally modeling structured and unstructured data sources.

You will use cloud-native solutions and automated data quality controls within Microsoft Fabric. You will work in an agile environment with other data engineers, the Lead Data Platform Engineer, Solution Architect, data analysts, and stakeholders from the business. In addition to technical realization, you will actively contribute to architecture discussions, knowledge sharing, and the further professionalization of the Data Office.

Result of the assignment

By the end of the assignment, you will have contributed to the further development of the operational CREDO data platform by realizing one or more agreed-upon roadmap components. The deliverables include, but are not limited to:

Activities

Job requirements

• RE-HIRING IS NOT
• MAX RATE €95,- ALL IN EXCL. VAT
• Implemented roadmap components that align with the target architecture.
• Working and documented data pipelines.
• Developed PySpark notebooks.
• Designed and realized dimensional data models.
• Solutions for unlocking and processing structured and unstructured data sources.
• Improvements in performance, data quality, monitoring, and cost control.
• Contribute to the further development of the CREDO data platform and realize one or more roadmap focus points.
• Implement the migration of CREDO from Azure Synapse to Microsoft Fabric, based on the intermediate state and target state architecture.
• Convert existing pipelines, notebooks, and data models to Microsoft Fabric.
• Develop and maintain scalable data pipelines and PySpark notebooks within the medallion architecture (bronze, silver, and gold).
• Optimize the performance and costs of data pipelines and data processing.
• Design and implement dimensional data models.
• Unlock and process structured and unstructured data sources within complex source landscapes.
• Implement data quality frameworks and controls within ETL/ELT processes.
• Develop data cleansing processes to resolve known data quality issues.
• Structure and manage SQL data warehouses, with a focus on Azure SQL Database and Fabric Database.
• Collaborate with data analysts to translate requirements into technical specifications.
• Implement and use CI/CD pipelines for automated build, test, and deployment processes, including quality and security checks.
• Analyze and resolve complex technical problems.
• Perform code reviews and provide documentation and monitoring.
• Actively share technical knowledge and coach other data engineers.
• More than 7 years of work experience as a Data Engineer with the development and management of a data platform within Microsoft Azure.
• Demonstrable experience with Microsoft Fabric and/or Azure Synapse Analytics.
• Experience implementing data solutions in complex environments with multiple source systems, dependencies, and stakeholders.
• Experience with lakehouse architectures and medallion principles.
• Extensive knowledge and at least 5 years of experience with dimensional data modeling, SQL programming, and PySpark notebooks.
• Experience with standardizing and automating workflows.
• Demonstrable experience with Azure DevOps, Git, and CI/CD principles.
• Experience working in an agile environment.
• Experience translating epics into features within squads and refining user stories with other engineers.
• Possession of one or more relevant Microsoft Azure certifications in data engineering, such as Azure Data Engineer Associate (DP-203).
• Independent, proactive work attitude and the ability to quickly function effectively within a new organization.

Nice to have

Competencies

Additional information

Selection interviews will take place on Thursday, October 22, and Friday, October 23, 2026, between 09:30 and 12:30 and between 13:30 and 16:30. A Certificate of Conduct (VOG) may be part of the selection procedure. The agreed rates upon award are fixed and binding for two years after the agreement's start date. Indexation or interim rate increases are excluded during this period, except for changes due to mandatory government measures or collective labor agreement obligations.

About RET

RET is a major player in public transport in Rotterdam and its surroundings. The organization is undergoing significant development and continuously works on improving and innovating its services. In this assignment, you will have the opportunity to contribute to the further development of a future-proof data platform, thereby enhancing the operational efficiency and quality of public transport in the region.

• Experience developing data products based on SAP and SuccessFactors.
• Excellent communication skills and the ability to communicate effectively with different levels within the organization.
• Strong analytical and problem-solving skills.
• Ability to translate complex data challenges into scalable and efficient technical solutions.
• Proactive and independent in identifying and resolving technical challenges.
• Experience guiding and coaching other engineers.
• Ability to support technical teams in developing their knowledge and skills.
• Willingness to actively share knowledge and contribute to the further professionalization of the team.

Project details

• Start: 2026-11-01T23:00:00
• Location: Rotterdam Zuid-Holland, NL
• Languages: Dutch