Date Engineer(GenAI)

Salt Digital Recruitment; Amsterdam; On-site; EUR 113,652 - 161,868; Part time

Job summary

Salt Digital Recruitment is hiring a freelance Data Engineer (GenAI) based in Amsterdam for a 12-month role at €100 per hour. You will design and develop scalable analytical solutions supporting GenAI applications, working closely with product and data science teams.

The ideal candidate will have over 3 years of experience in data engineering, strong SQL and Python skills, and a solid understanding of data modeling and analytics. This position offers an exciting opportunity to manage end-to-end analytical domains while focusing on innovation and collaboration.

Qualifications

• 3+ years of experience in analytics, data engineering, or related roles.
• Experience with analytical databases/data warehouses.
• Ability to work independently in fast-paced environments.

Responsibilities

• Own and manage analytical data domains end-to-end.
• Design scalable data models and analytical datasets.
• Build dashboards and reporting solutions.

Skills

SQL

Python

PySpark

Data Modeling

Analytical Problem-Solving

Tools

Snowflake

dbt

Airflow

Job description

Data Engineer (GenAI) – Freelance – Amsterdam

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

Rates depend on experience and client requirements.