Data Engineer – FileMaker

Das ist der Job

Develop a thorough understanding of business processes currently implemented within the FileMaker environment.

Darum lohnt es sich

Support knowledge transfer and ensure that architectural decisions and system behaviour are transparent and maintainable for future teams.

Requirements Bachelor’s degree in Computer Science, Information Systems, or related field At least 3 years of experience as a FileMaker developer or engineer Proficient in FileMaker Pro Advanced, FileMaker Server and MBS plugin Familiar with FM related development concepts (Anchor Buoy, Data Separation Model) Knowledge of relational database design Familiar with development technologies such as SQL, cURL and REST APIs, and OpenAPI Experience with system integration tools Further programming skills (Go, Python, OData, SQL, SQL/Graph) Proper handling of formats like JSON and XML Familiar with methodologies like Agile, SCRUM, BPMN Experience with operating systems: Linux, Ubuntu, Mac, Windows Excellent analytical and problem-solving skills with a structured and detail-oriented mindset Very good elicitation of business requirements, documenting and prioritising ability Strong communication and collaboration skills in interdisciplinary and intercultural teams Service-oriented mindset combined with a strong sense of responsibility and integrity Excellent English and German language skills (at least C1, written and spoken) High level of independence, reliability, and initiative #J-18808-Ljbffr Responsibilities Analyse and document the current FileMaker database, including data structures, scripts, layouts, integrations, and operational dependencies.

Identify opportunities to modularise the existing monolithic solution and define target architectures for moving functionality to external or best-of-breed systems. Design and execute a phased approach for migrating or decoupling features from FileMaker while minimising disruption to business operations.

Review, refactor, and where necessary redesign the existing data model to improve consistency, performance, and long-term maintainability. Prepare the data structure for seamless integration with other systems, including the definition of clear data ownership, interfaces, and integration patterns (e.g.

APIs, data synchronisation, or event-based integration). Implement and maintain integrations between FileMaker and external systems, ensuring robustness, security, and data accuracy. Collaborate with business stakeholders, IT, and external vendors to align technical changes with business priorities and future system strategies.

Establish documentation, standards, and best practices for data modelling, integrations, and ongoing system evolution.