Data Engineer AI

1 year ago

Antwerp, BelgiumSenior

Responsibilities

Analyze large energy and water time-series datasets to identify patterns and trends.
Develop and implement advanced machine learning algorithms and models.
Build time-series and metadata connectors as part of product development.
Maintain and optimize data pipelines for quality, reliability, and scale.
Troubleshoot data quality, structure, flow, and integration issues.
Source new data streams and integrate them into the platform.
Collaborate with partners, integrators, and customers to launch integrations.
Work with developers to refine user experience and translate client needs into AI models.

Extensive knowledge of AI, machine learning, and statistical modeling.
Deep understanding of time-series data and metadata, including validation and edge cases.
Strong Python backend coding skills with experience in Pandas, NumPy, SciPy, and frameworks such as Flask.
Proven experience implementing AI models and data pipelines in production.
Practical experience scaling connectors, solving complex data issues, and improving data quality.
Clear professional communication skills and comfort bridging business and technology with external stakeholders.
Experience with large-scale time-series pipelines involving IoT, energy, or monitoring is a bonus.
Familiarity with cloud platforms such as AWS or GCP and data platforms is a bonus.

Performance bonus and stock options.
13th-month salary and double vacation pay.
Company car or mobility budget with additional salary.
Meal vouchers and eco vouchers.
Private EV charging card with personal use permitted.
Free hospital insurance for the employee and family discounts.
Laptop and smartphone, including a monthly phone and internet allowance.
Hybrid work with energetic offices in Brussels and Antwerp; the tech team works frequently from the Brussels office and the role is not fully remote.
Team events, activities, and milestone celebrations.

11-50 employees