Data Engineer

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September 25

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Makersite

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SaaS • Artificial Intelligence • Compliance

Makersite is an award-winning data software company that specializes in providing sustainability data and product lifecycle intelligence solutions. The company empowers engineers, procurement teams, and sustainability experts to transform products and supply chains by making sustainable product decisions at scale. Makersite integrates artificial intelligence, data, and applications to offer features like automated lifecycle assessments, supply chain risk management, and AI-enabled ecodesign. Their platform facilitates compliance with global reporting obligations and enhances supply chain transparency, enabling organizations to achieve sustainability goals such as reducing carbon footprints and building resilient supply chains. Makersite is ideal for companies looking to manage product sustainability, compliance, and cost effectively using data-driven decision-making.

51 - 200 employees

Founded 2018

☁️ SaaS

🤖 Artificial Intelligence

📋 Compliance

📋 Description

• Design, build, and maintain scalable data pipelines and infrastructure to support analytics and machine learning workflows. • Develop and optimize data storage solutions (e.g., data lakes, warehouses, databases) for performance, reliability, and scalability. • Ensure data quality, consistency, and accessibility through robust validation, cleaning, and transformation processes. • Collaborate with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions. • Integrate data from multiple internal and external sources, ensuring security and compliance with data governance policies. • Support machine learning initiatives by preparing, structuring, and serving data for model training, testing, and deployment. • Monitor, troubleshoot, and improve data systems for performance, cost-efficiency, and reliability. • Document processes, data flows, and best practices to ensure maintainability and knowledge sharing across the team. • Stay up to date with emerging data engineering tools, technologies, and best practices to continuously improve our data infrastructure.

🎯 Requirements

• Proven experience in AI/ML concepts and applying them in real-world data workflows. • 5+ years of full-time commercial experience with SQL and Python (minimum 3 years considered). • Hands-on experience with data orchestration tools such as Airflow, Metaflow, or Prefect. • Strong knowledge of cloud platforms, with expertise in AWS (Azure is a plus). • Solid understanding of data compliance and security best practices, particularly when working with sensitive client data. • Exposure to tracing and monitoring frameworks such as Grafana, Sentry, or OpenTelemetry. • Experience handling both structured data (with defined schemas and rules) and unstructured data (requiring consolidation and organization). • Residing in and legally permitted to work in the EU.

🏖️ Benefits

• Competitive Salary – We reward your skills and experience with a compensation package that reflects your value. • 30 Days Paid Time Off – Take the time you need to recharge and maintain a healthy work-life balance. • Remote-First Flexibility – Work from anywhere in the EU, with the option to collaborate in person at our offices in Stuttgart, Berlin (role dependent). • Generous Learning & Development Budget – We invest in your growth, providing ample resources for personal and professional development. • Choose Your Ideal Work Equipment – Whether you prefer Apple or Microsoft, we’ll equip you with the tools you need to excel.