Tech Stack
AWSCloudDistributed SystemsPython
About the role
- Designing and scaling the data platform powering pricing, forecasting, and analytics applications.
- Lead architectural decisions across the platform to ensure scalability, reliability, and performance in high-load, data-heavy environments.
- Drive cross-functional technical initiatives with Product Managers, Designers, and Engineers.
- Mentor and support other engineers through design reviews, pair programming, and knowledge sharing.
- Design and build distributed systems handling complex workflows and large volumes of energy data.
- Take ownership of critical components, ensuring quality and resilience.
- Influence technical direction and culture and contribute to strategic planning and roadmaps.
Requirements
- Expertise in Python, with a strong command of modern software design patterns, testing practices, and performance optimization.
- Extensive experience with relational databases and data modeling for high-throughput systems.
- Deep understanding of distributed systems design and the trade-offs involved in consistency, availability, and partition tolerance.
- Proven track record of working on data-intensive and high-load backends, ideally within SaaS environments.
- Familiarity with cloud platforms, especially AWS, and experience with infrastructure-as-code and container orchestration.
- Strong architectural intuition and ability to drive clarity in ambiguous, complex technical situations.
- Leadership experience through mentoring, leading initiatives, or shaping engineering practices across teams.
- Experience in defining and improving DevOps pipelines, observability, and platform reliability.
- Strong communication skills and a collaborative mindset.
- Proactive and pragmatic: able to balance technical excellence with delivery impact.
- Legal right to work in Belgium, Germany or the UK; company does not provide visa sponsorship or relocation support.