Senior AI and Data Engineer Job in Rotterdam (Hybrid) – Apply Now
📍 Location: nl
🏷 Type: Not specified
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Job Overview
This role targets a Senior-Level AI & Data Engineering professional focused on enterprise AI deployment within the financial services domain. You will join a newly formed AI & Technology unit at Robeco, responsible for scaling production-grade AI solutions across business units. The ideal candidate brings 5+ years of engineering experience, strong command of Python, SQL, and cloud ecosystems, and the ability to bridge business strategy with technical execution in high-impact environments.
🌍 Work Eligibility & Location
- 🌍 Visa Sponsorship: Not explicitly stated
- ✈️ Relocation Support: Not specified
- 🏠 Remote Type: Hybrid (60% onsite in Rotterdam)
- ⏰ Timezone Requirement: CET working hours
- 🌐 Country Restrictions: Must be eligible to work in the Netherlands
- 🗣️ Language Requirement: English (professional level)
This is a Hybrid role requiring consistent presence in Rotterdam, making it best suited for candidates already based in or willing to relocate to the Netherlands. Visa sponsorship is unclear, so international applicants should verify eligibility before applying. The setup favors professionals comfortable operating within European business hours and collaborating in cross-functional teams.
💰 Salary Intelligence
- 💰 Official Salary: Not disclosed
- 📊 Estimated Range: €85,000 – €115,000/year
- 📈 Level: Senior-Level
While the company does not disclose compensation, market benchmarks for Senior AI/Data Engineers in the Netherlands suggest a competitive range between €85K and €115K. Given the strategic importance of AI within Robeco, this role likely includes performance incentives and long-term career upside aligned with enterprise AI transformation initiatives.
📊 Role Breakdown
This position blends AI engineering (40%), data engineering (25%), prototyping & experimentation (20%), and stakeholder collaboration (15%). You will design, build, and deploy AI models using frameworks such as TensorFlow, PyTorch, and scikit-learn, while also managing data pipelines and preprocessing workflows. A key responsibility involves rapid prototyping to validate business ideas using generative AI and predictive modeling techniques.
You will work heavily with cloud platforms like Azure and Snowflake, integrating solutions into scalable enterprise systems. The role also includes evaluating AI tools such as Microsoft Copilot and Snowflake Cortex, ensuring alignment with business goals. Strong emphasis is placed on model evaluation, reproducibility, and performance optimization, requiring a disciplined engineering approach combined with experimentation agility.
🧩 Required Skills & Fit
- ✅ Must: 5+ years engineering experience with strong Python and SQL
- ✅ Must: Experience in AI/ML model development and evaluation
- ✅ Must: Hands-on with Azure, Snowflake, and Git-based workflows
- ➕ Bonus: Knowledge of Kubernetes, APIs, and scalable AI systems
- ➕ Bonus: Experience with agentic AI systems and LLM pipelines
📈 Difficulty & Competitiveness
- ⚡ Level: High
- 📊 Experience barrier: 5+ years
- 🧠 Skill complexity: Advanced (AI + Data + Cloud integration)
- 🌍 Competition: Strong across EU senior AI talent pool
This is a high-difficulty senior role requiring both breadth and depth across AI, data engineering, and cloud infrastructure. Candidates must demonstrate 5+ years of experience and the ability to operate in ambiguous, innovation-driven environments. Competition is intense, especially among experienced AI engineers transitioning into enterprise AI transformation roles.
🚀 Career Impact
- ⭐ Impact Rating: ⭐⭐⭐⭐☆
- 🏢 Brand value: Strong European asset management leader
- 📚 Skill growth: Enterprise AI, cloud scaling, financial AI use cases
- 🚀 Future opportunities: AI Lead, Principal Engineer, AI Architect
This role offers strong career acceleration into AI leadership, particularly within financial services AI. You will gain exposure to enterprise-scale deployments, positioning you for Principal or Architect-level roles in the near future. The combination of finance and AI significantly enhances long-term market value.
📋 Key Responsibilities
You will collaborate with business and engineering teams to translate ideas into scalable solutions, build and deploy AI models using frameworks like PyTorch and TensorFlow, and develop data pipelines for structured and unstructured data. A major focus is to prototype rapidly, validate feasibility, and transition solutions into production environments.
Additionally, you will evaluate model performance, ensure reproducibility, and integrate cloud-native architectures using Azure and Snowflake. You will also advise stakeholders, promote AI adoption, and contribute to building a center of excellence around AI best practices and governance.
🎯 Application Strategy
- 🎯 Best apply method: Direct via company careers page
- 🔥 Highlight: Production AI deployments
- 🔥 Highlight: Cloud + ML pipeline integration
- ❌ Avoid: Generic ML project descriptions
- ❌ Avoid: Lack of business impact metrics
🧠 Application Optimization (Adaptive)
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Senior AI and Data Engineer focused on enterprise AI deployment in financial services using Python, Azure, and Snowflake.
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📅 Application Signals
The role was posted recently, indicating high urgency in hiring for a newly formed AI team. Given the strategic importance, expect strong competition from senior AI engineers across Europe. Early application significantly increases visibility, especially for candidates with enterprise AI deployment experience.
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✅ Job Source & Verification
This job listing originates directly from Robeco’s official careers page, ensuring high source credibility. The posting was last updated within the past few days, indicating the role is active and open. Candidates should rely on the official site for application submission and updates regarding hiring progress.
