Senior data ML engineer

Starapple; Rijswijk; On-site; EUR 67,000 - 78,000; Full time

Benefits offered by this job

27 days annual leave

Travel expense reimbursement

Public transport reimbursement

Laptop or allowance

Hybrid work options

Job summary

Starapple is seeking a Senior Machine Learning Engineer in The Hague to join a small, highly technical team working at the intersection of data engineering, ML and MLOps. You will help build an Azure-based data platform for finance, blockchain and digital assets.

You will own the full data lifecycle, from integrating sources and building pipelines to developing and deploying production-ready ML models, while collaborating with data analysts and software engineers.

Qualifications

• At least 3 years of relevant experience in data engineering, MLOps or similar roles.
• Experience with Microsoft Azure and cloud-based data platforms.
• Strong programming skills in Python and SQL.
• Experience developing data pipelines and ETL/ELT processes.
• Experience with CI/CD, automation and deployment processes.
• Interest in Machine Learning and MLOps.

Responsibilities

• Data integration and processing for financial and blockchain-related data.
• Design, build and maintain reliable data pipelines and workloads.
• Develop and improve the cloud-based data platform on Azure.
• Develop, deploy and monitor ML models in production.
• Implement and optimize MLOps processes for model deployment and lifecycle management.
• Automate deployments, data workflows and ML processes.
• Monitor data quality, system performance and platform reliability.
• Collaborate with data analysts and software engineers.
• Contribute to evolving the organisation's data infrastructure.

Skills

Data engineering

MLOps

Python

SQL

CI/CD

Git

Azure

ETL/ELT

Software engineering fundamentals

Tools

Azure Machine Learning

MLflow

Job description

Senior Machine Learning Engineer | The Hague

Work at the intersection of Data Engineering, Machine Learning and MLOpsAre you interested in building modern data platforms while bringing machine learning models into production? In this role, you will work on an Azure-based data platform within an innovative environment focused on finance, blockchain and digital assets. You will have the freedom to make technical decisions and contribute across the entire data lifecycle, from integrating data sources and developing pipelines to building machine learning models and deploying production-ready data solutions.

About the organisation

You will join a small, highly technical team of specialists in software development, data, machine learning and finance. The organisation has a strong technology-driven approach and develops much of its technical infrastructure in-house.

The working culture is entrepreneurial, straightforward and collaborative. With few management layers, there is plenty of room for independent thinking and initiative.

If you have an idea for improving a system, process or technical solution, you will have the opportunity to turn it into reality.

The Role

What will you be doing?

As a Senior Machine Learning Engineer, you will work across the entire data lifecycle, combining Data Engineering, Machine Learning and MLOps.

Your responsibilities will include:

• Data integration and processing: Collecting, integrating and processing financial and blockchain-related data from various sources.
• Data pipeline development: Designing, building and maintaining reliable data pipelines and data processing workloads.
• Azure platform development: Developing and improving the organisation’s cloud-based data platform.
• Machine Learning: Developing, improving and deploying machine learning models into production environments.
• MLOps: Implementing and optimising processes for model deployment, monitoring and lifecycle management.
• Automation: Automating deployments, data workflows and machine learning processes.
• Performance and reliability: Monitoring and improving data quality, system performance and platform reliability.
• Technical collaboration: Working closely with Data Analysts, software engineers and other technical specialists.
• You will be involved in both developing new solutions and improving existing systems. This gives you the opportunity to influence technical decisions and contribute to the continued development of the organisation’s data infrastructure.

You will work with technologies including:

• Programming & Data Processing: Python and SQL.
• Machine Learning & MLOps: Azure Machine Learning and MLflow.
• Development & Automation: CI/CD and Git.
• Experience with blockchain, cryptocurrency, fintech or financial datasets is an advantage, but not a requirement.

Requirements

What are we looking for?

We are looking for an experienced engineer who enjoys solving complex technical challenges and feels comfortable working independently in a fast-moving environment.

You should have:

• At least 3 years of relevant experience as a Data Engineer, MLOps Engineer, Machine Learning Engineer or in a similar position.
• Experience working with Microsoft Azure and cloud-based data platforms.
• Strong programming skills in Python and SQL.
• Experience developing data pipelines and working with ETL/ELT processes and data warehousing.
• Experience with CI/CD, automation and deployment processes.
• Experience with or a strong interest in Machine Learning and MLOps.
• A solid understanding of software engineering principles.
• An independent, proactive and entrepreneurial approach to your work.
• You enjoy taking ownership of technical challenges and collaborating with others to develop practical, reliable solutions.

What We Offer

• A gross monthly salary of €6,000 to €7,000, depending on your knowledge and experience.
• Flexible working hours: 32, 36 or 40 hours per week.
• The prospect of a permanent employment contract.
• 27 days of annual leave.
• Travel expense reimbursement or full public transport reimbursement.
• A company laptop or laptop allowance.
• Plenty of freedom to contribute ideas and influence technical decisions.
• Opportunities for professional development and technical growth.
• The chance to work with innovative technologies in the fintech industry.
• A young, ambitious and professional team.
• A primarily office-based position in The Hague, with the possibility of hybrid working in the future.

Interested?

Would you like to combine Data Engineering, Machine Learning and MLOps while working with innovative technologies in finance, blockchain and digital assets?

Feel free to get in touch. I would be happy to tell you more about the organisation, the technical environment and the opportunities available.