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Salary
≈ $59k – $169k per year (Estimated)
Location
In office (Amsterdam)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on May 18, 2026. Salt scores C on the Alion truth index.

Overview
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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.

Date Engineer(GenAI)

Ref: JO-2605-360895

  • Environment:

    Hybrid

  • Contract Type:

    Temporary

  • Starts:

    2026-06-15

Salt is currently hiring a Data Engineer(GenAI) - for a client of ours in Amsterdam.

Role is freelance(zzp/kvk) for 12 months, paying 100 euros an hour.

We are seeking a Data Analytics Engineer II to design and develop scalable analytical solutions supporting GenAI applications, including search & discovery, AI assistants/chatbots, customer support AI solutions, and LLM evaluation workflows.

This role focuses on analytics, data modeling, experimentation, monitoring, and insight generation. You will work closely with product, engineering, and data science teams to transform complex datasets into actionable business insights and reliable analytical products.

Key Responsibilities

  • Own and manage analytical data domains end-to-end
  • Design and maintain scalable data models and reusable analytical datasets
  • Ensure data quality, consistency, governance, and monitoring
  • Build dashboards, monitoring tables, and reporting solutions
  • Analyze experiments, model performance, and LLM evaluation results
  • Work with structured and unstructured datasets, including AI-generated outputs and application telemetry
  • Support data validation and exploratory analysis before product releases
  • Collaborate with cross-functional teams to identify analytical opportunities and improve decision-making

Required Skills & Experience

  • 3+ years of experience in analytics, data engineering, or related roles
  • Strong SQL and experience with analytical databases/data warehouses
  • Hands-on experience with Python and PySpark
  • Strong understanding of data modeling and modern analytics practices
  • Experience building scalable, reusable analytical pipelines and transformations
  • Strong analytical and problem-solving skills
  • Ability to work independently in fast-paced and ambiguous environments
  • Excellent communication and stakeholder management skills

Preferred Skills

  • Experience with AI/ML products, LLM evaluation workflows, or model analysis
  • Familiarity with dbt, Snowflake, Streamlit, Airflow, or Argo
  • Experience working with unstructured data and AI application telemetry
  • Exposure to GenAI or large language model ecosystems

*Rates depend on experience and client requirements

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