Interim Data Engineer: Scalable Pipelines & Trusted Data

Salt Digital Recruitment; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Salt Digital Recruitment is seeking an experienced Interim Analytics Engineer / Data Engineer to design and build robust data pipelines, data models, and trusted datasets. You will enable scalable, analytics-ready data across the organization, moving beyond quick fixes to sustainable solutions.

You will work on pipelines with Microsoft Fabric and Azure services, ensure data quality, governance, and clear documentation while collaborating with stakeholders to translate requirements into robust

Qualifications

• Proven analytics/data engineering footprint with robust data pipelines.
• Strong SQL skills and modeling techniques for analytics-ready data.
• Experience with data quality checks, testing, and data governance best practices.
• Ability to document data flows, logic, and decisions clearly.

Responsibilities

• Design, build, and maintain data pipelines using Microsoft Fabric and Azure Ingest.
• Clean and transform data from multiple sources into analytics-ready layers.
• Develop scalable data models to support consistent reporting.
• Create reusable datasets to enable self-service analytics.
• Implement data quality checks, monitoring, and testing frameworks.
• Establish validation, alerting, and documentation to maintain data integrity.
• Document pipelines, transformations, and business logic for future use.
• Collaborate with business and technical stakeholders to translate requirements into robust data solutions.

Skills

SQL

Data Modeling

Data Transformation

Data Quality

Testing Frameworks

Documentation

Data Governance

Stakeholder Collaboration

Problem Solving

Attention to Detail

Tools

Microsoft Fabric

Azure Data Services

Job description

Salt Digital Recruitment is seeking an experienced Interim Analytics Engineer / Data Engineer to design and build robust data pipelines, data models, and trusted datasets. You will enable scalable, analytics-ready data across the organization, moving beyond quick fixes to sustainable solutions.

You will work on pipelines with Microsoft Fabric and Azure services, ensure data quality, governance, and clear documentation while collaborating with stakeholders to translate requirements into robust