AI Data Engineer

Edison Smart®; Noord-Holland; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Edison Smart® is seeking an AI Data Engineer in the Netherlands for a 12-month contract. You will blend data engineering, ML, and GenAI to deliver customer-focused insights and actions. Collaboration with marketing and product teams is essential to translate technical work into business value.

The role involves building a centralized data warehouse, ML models for churn and segmentation, and GenAI-enabled tools to personalize the trading experience for customers across channels.

Qualifikationen

• Proficient in SQL with large, messy datasets spanning customer journeys, product usage and marketing metrics.
• Strong Python for building pipelines, automations and API integrations.
• End-to-end ML delivery in Python, from model development to production deployment.
• Experience turning customer insights into strategies that drive engagement and lifetime value.
• Hands-on experience building LLM applications (e.g., summarising data) and knowledge of GenAI use cases.
• Exposure to ETL tools and cloud platforms (dbt, AWS Glue, AWS SageMaker).

Aufgaben

• Build a centralized data warehouse and well-structured datasets for multiple teams focusing on retention and LTV reporting.
• Develop and own ML models for churn prediction, customer segmentation and personalisation; enable marketing to use them across channels.
• Create GenAI tools to simplify trading and tailor experiences to customer preferences.
• Write Python pipelines and automations that connect internal databases, marketing platforms and third-party APIs.
• Identify opportunities to apply data and AI to lift engagement or automate manual work across the business.

Kenntnisse

Advanced SQL

Python pipelines

ML delivery in production

GenAI applications

Data storytelling

AWS SageMaker

Tools

dbt

AWS Glue

AWS SageMaker

Jobbeschreibung

AI Data Engineer | Fintech | 12-Month Contract | Netherlands

The details

Based in the Netherlands

Right to work in the EU required

Turn trading data into experiences customers actually want to come back to.

Our client is a product-led fintech platform serving a large, global base of active traders. They're investing heavily in data and AI to understand their customers better, keep them engaged for longer and make trading feel more personal. They now need a contract AI Data Engineer to help make that happen.

This role blends data engineering, machine learning and GenAI with a strong commercial focus. You'll work closely with marketing and product teams, so the ability to connect technical work to business outcomes matters just as much as the code.

Where you'll spend your time

Building the foundations: Creating a centralised data warehouse and well-structured datasets that multiple teams can rely on for retention and lifetime value reporting

Predicting behaviour: Developing and owning ML models for churn prediction, customer segmentation and personalisation, then helping marketing put them to work across channels

Experimenting with GenAI: Building LLM-powered tools that simplify trading and tailor the experience to each customer's preferences

Connecting the dots: Writing Python pipelines and automations that pull together internal databases, marketing platforms and third-party APIs

Spotting opportunities: Finding new ways to use data and AI to lift engagement or automate manual work across the business

What you'll bring

• Advanced SQL and confidence working with large, messy datasets covering customer journeys, product usage and marketing performance
• Strong Python for building pipelines, automations and API integrations
• End-to-end ML delivery in Python, from building a predictive or segmentation model to getting it running in production
• A track record of uncovering customer insights and turning them into strategies that improve engagement and LTV
• Hands-on experience building LLM applications, such as summarising large volumes of data, plus a good feel for current GenAI use cases
• Exposure to ETL tools like dbt or AWS Glue, and cloud platforms, ideally AWS and SageMaker
• The ability to explain complex findings clearly to non-technical audiences

Experience in trading, fintech or another high-volume consumer platform, and a background supporting marketing or CRM teams with data.