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Salary
≈ $56k – $112k per year (Estimated)
Location
In office (Amsterdam)

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Apr 21, 2026. Salt scores C on the Alion truth index.

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Founded in 2009, Salt is a global digital talent, recruitment, and workforce consultancy specializing in technology, creative, marketing, and sales staffing. Headquartered in London, United Kingdom - with an international network of offices spanning North America, Europe, Asia-Pacific, and Latin America - the agency serves fast-scaling startups, mid-market companies, and multinational enterprises. Through its permanent and contract recruitment models, recruitment process outsourcing (RPO), nearshore/offshore talent delivery (Salt: Labs), and strategic HR advisory services, it enables organizations to build, scale, and manage high-performing teams across AI, technology, and digital transformation initiatives.

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Applications are now closed.

Data Engineer

Ref: JO-2604-360398

  • Environment:

    Hybrid

  • Contract Type:

    Contract

  • Starts:

    2026-05-11

We are looking for an experienced Interim Analytics Engineer / Data Engineer to support the development of a robust and scalable data foundation. This role focuses on building reliable data pipelines, well-structured models, and trusted datasets that enable consistent, high-quality analytics across the organization.

You will play a key role in strengthening the data platform-moving beyond quick fixes to create sustainable, well-documented, and maintainable solutions.

Key Responsibilities

  • Design, build, and maintain data pipelines using Microsoft Fabric and Azure
  • Ingest, clean, and transform data from various source systems into analytics-ready layers
  • Develop and maintain scalable data models that support efficient and consistent reporting
  • Create reusable datasets to enable self-service analytics
  • Implement data quality checks, monitoring, and testing frameworks to ensure reliability
  • Establish guardrails such as validation processes, alerting, and documentation to maintain system integrity
  • Document data pipelines, transformations, and business logic clearly for future use
  • Collaborate with business and technical stakeholders to translate requirements into robust data solutions

Required Skills & Experience

  • Proven experience as an Analytics Engineer or Data Engineer (interim or project-based experience is a plus)
  • Strong proficiency in SQL
  • Hands-on experience with Microsoft Fabric and/or Azure data services
  • Solid understanding of data modeling techniques (e.g., dimensional modeling, medallion architecture)
  • Experience with data transformation and pipeline design
  • Strong focus on data reliability, including version control, testing, and documentation
  • Familiarity with data quality frameworks and testing methodologies
  • Understanding of data governance and compliance best practices
  • Excellent problem-solving skills and strong attention to detail

*Rates depend on experience and client requirements

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