Cloud Data Engineer (Cloud Engineering, Databricks, Python)

TruPositive AI is at an exciting turning point and we’re looking for passionate builders to help us scale TRU+, a new FinOps solution combining smart, ML-powered anomaly detection, GenAI and gamification. We’re expanding fast, and our mission is to help increase cloud efficiency for companies around the world.

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If you’re driven by the thrill of building scalable systems, enjoy working with real-time data, and love the challenge of making machine learning usable at scale, come join our rocketship as we embark on this incredible journey. As a Cloud Data Engineer, you’ll be at the forefront of crafting the technology that propels our mission forward. 🚀

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Note: This is NOT a fully remote job. We are looking for candidates based in BELGIUM who possess a valid EU WORK PERMIT. We strongly believe in in-person collaboration and expect team members to work from our Ghent or Antwerp offices at least two days per week.

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Key Responsibilities:

1️⃣ Backend Development & API Integration:

• Design, develop, and maintain RESTful APIs for real-time data analysis and anomaly detection.
• Implement and manage containerized microservices with Docker and orchestrate deployments using Infrastructure as Code.

2️⃣ Cloud Engineering & Cost Optimization:

• Build and maintain scalable data processing systems using Azure services like PaaS, Data Lake, and Blob Storage.
• Monitor and optimize cloud infrastructure for performance and cost efficiency using Azure monitoring tools.

3️⃣ Databricks & Distributed Data Processing:

• Manage large-scale, secure data processing pipelines and workflows in Databricks.
• Ensure data pipelines are optimized for both performance and cost, with a focus on real-time data flows.

4️⃣ Python Development & Machine Learning:

• Write clean, modular Python code to support machine learning models and time series forecasting.
• Implement data preprocessing features like imputation, scaling, and validation for time series data.

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🔥Skills & Qualifications:

• Backend Development: Strong experience in Python programming, building RESTful APIs, and scalable software solutions.

• Cloud Expertise: Proficient in Azure services, with a focus on cost optimization and managing large-scale data systems.

• Databricks & Data Engineering: Experience in Databricks, ETL pipelines, and distributed data processing workflows.

• Containerization & CI/CD: Knowledge of Docker, Kubernetes, and setting up CI/CD pipelines using tools like Azure DevOps or Jenkins.

• Project Management: Experience in MVP development, cross-functional collaboration, and agile environments.

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🌟Ideal Candidate Profile:

• Experience Level: Experience in backend development, cloud platforms (preferably Azure), and data engineering, with a focus on

• AI Tooling: Familiarity or enthusiasm to work with modern AI engineering assistants like Lovable, Cursor and Windsurf

• Bonus Skills: Experience in machine learning, anomaly detection, and using time series data is a plus.

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✨What We Offer:

• Competitive salary and comprehensive benefits including meal vouchers, hospitalization insurance, home working allowance, and more.

• Flexible hybrid work environment, with at least 2 office days away week (Offices in Ghent and Antwerp, BELGIUM)

• Access to professional development opportunities, including personalized training days and learning platforms like LinkedIn Learning.

• A challenging and collaborative work environment with a focus on continuous improvement.

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