Staff Engineer - Pricing
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Key details
- Salary
- €1K/yr
- Location
- Germany
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Function
- Software engineering
- Focus area
- Backend
- Posted
- 1w ago
Skills
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer – Pricing based in Germany.
This is a high-impact staff-level engineering role focused on building the pricing infrastructure behind a modern energy transaction platform. You’ll own the backend and data-heavy systems responsible for pricing real energy contracts, where correctness directly affects financial outcomes and performance builds customer trust. You’ll shape a new Pricing API from initial architecture through production readiness and eventual third-party access. The role combines backend engineering, numerical systems, data, reliability, and product thinking in a highly consequential domain. You’ll also lead significant architectural decoupling, establish engineering standards, and influence technical direction across teams without relying on formal management authority. The environment is remote-first, collaborative, and focused on using modern AI-assisted engineering workflows to increase team productivity.
Accountabilities:
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Build, evolve, and operate the Pricing API, ensuring it is fast, reliable, accurate, explainable, and ready for third-party consumption.
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Lead the extraction of pricing logic from surrounding systems into a dedicated service, establishing clear and maintainable boundaries with neighboring teams.
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Manage significant architectural migrations and decoupling initiatives while protecting existing functionality and minimizing disruption to dependent systems.
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Own pricing reliability by designing detection, monitoring, and alerting systems that identify incorrect or slow prices before they reach customers.
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Ensure every pricing failure can be understood and explained, creating robust mechanisms for diagnosing why a quote cannot be produced.
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Improve pricing performance and reduce quote latency across the customer experience through architectural and technical optimization.
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Act as a senior technical authority within the pricing domain, contributing to architecture decisions, design reviews, engineering standards, and development practices.
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Raise the effectiveness of the wider engineering team through pairing, knowledge sharing, technical guidance, and AI- and multi-agent-assisted development workflows.
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Serve as a key escalation point for live pricing incidents and convert operational learnings into durable architectural and product improvements.
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Balance speed, numerical correctness, reliability, cost, and explainability when making technical and product engineering decisions.
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Influence technical direction across teams, negotiating service boundaries and aligning stakeholders without direct management responsibility.
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Deep production experience with Python backend engineering, including designing, building, and owning APIs at scale.
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Demonstrated experience taking technical ownership of production systems and acting as a senior escalation point when complex backend issues arise.
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Proven experience leading a significant decoupling, migration, or architectural transformation of a live system without disrupting critical dependencies.
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Strong proficiency with FastAPI and SQL, ideally within data-intensive or analytics-heavy systems where numerical correctness has direct financial consequences.
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Experience designing systems where data accuracy, performance, reliability, and explainability are critical requirements.
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Ability to establish technical direction across organizational boundaries and negotiate effective service contracts and ownership models with neighboring teams.
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Strong product engineering judgment, with the ability to understand how pricing information is consumed and deliberately balance speed, accuracy, and explainability.
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Experience using AI coding tools such as Claude or similar technologies as part of everyday engineering workflows.
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Ability to design and implement multi-agent engineering workflows that improve development throughput across a team, rather than simply using AI tools individually.
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Strong communication and leadership skills, with the ability to influence senior engineers and stakeholders without relying on formal authority.
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Experience with energy pricing, fintech, financial systems, or modern utility platforms is desirable.
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Experience building APIs intended for consumption by external third parties is a plus.
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Familiarity with AWS and serverless architectures, including Lambda, event-driven services, and PostgreSQL on RDS, is beneficial.
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Experience with Polars or a demonstrated track record of optimizing numerical and data-processing code is an advantage.
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Competitive salary: Compensation is positioned at a competitive level for a Staff Engineer role, with the exact local equivalent determined by location and experience.
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Stock options: Receive equity so employees can share in the long-term value created by the business.
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Generous time off: 25 days of annual leave plus public holidays, with the flexibility to swap public holidays for days that are more meaningful to you.
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Birthday leave: Enjoy your birthday as an additional day off.
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Remote-first working: Work remotely with flexible arrangements and clearly defined core hours.
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Meeting-free Friday afternoons: Dedicated time for focused work, learning, and personal priorities.
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Remote-work allowance: Up to £1,200 or €1,400 per year toward your home-office and remote-working setup.
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Wellbeing allowance: Up to £150 or €170 per month to support your health and wellbeing.
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Inclusive environment: Applications are welcomed from people of all backgrounds, experiences, and identities, including those traditionally underrepresented in technology and energy.
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High-impact technical ownership: Work on infrastructure where engineering decisions directly influence financial accuracy, customer trust, and the modernization of a major global industry.
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Modern engineering culture: Contribute to an environment that embraces AI-assisted and multi-agent engineering workflows and encourages continuous improvement.
Requirements:
Benefits:
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