Jobdetails
Zusammenfassung
- Zürich, Zürich
- Temporär
veröffentlicht am 1. juni 2026
- Referenznummer
- 25216
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M
Moutusi Chattopadhyay
Nächste Schritte
randstad professional
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Jobdetails
A strategic finance data platform requires support from an experienced senior engineer who can take ownership of complex technical features and deliver production-grade solutions end to end. ...
- The role is suited for a senior software engineer, data engineer, or platform engineer with strong fundamentals in distributed computing, large-scale data processing, scalable system design, and cloud-based engineering environments.
- This is a hands-on engineering role with strong feature ownership. The candidate is expected to drive larger technical topics from requirements clarification and solution design through implementation, testing, rollout, and operational handover.
- The person should show strong drive, ownership, and responsibility, proactively coordinating the work needed for their features while considering dependencies, downstream impact, maintainability, performance, and the broader platform
- context.
Feature ownership and technical delivery
- Take ownership of complex technical features from requirements clarification and design through implementation, testing, rollout, and operational handover
- Design and implement scalable, production-grade data platform solutions
- Apply distributed computing and large-scale data processing fundamentals to solve performance, scalability, andreliability challenges
- Write clean, maintainable, well-tested code and contribute to engineering quality through reviews, documentation, and structured development practices
- Troubleshoot and optimize complex data processing workloads and production issues
- Contribute to technical design discussions and make pragmatic trade-offs around performance, maintainability, cost, and delivery timelines
Coordination and ownership
- Break down complex or ambiguous technical topics into clear, actionable implementation steps
- Coordinate the design, implementation, testing, rollout, and communication needed for owned features
- Identify dependencies, risks, edge cases, and unclear ownership early, and drive them to resolution
- Work effectively with engineers and stakeholders to align on scope, approach, and delivery expectations
- Look beyond the immediate task by considering adjacent systems, downstream consumers, operability, data quality, and long-term platform impact
- At least 5 years of professional experience in software engineering, data engineering, or platform engineering, with strong fundamentals in distributed computing, big data processing, and scalable system design
- Proven track record of delivering production-grade technical products or features end to end, including design, implementation, testing, rollout, and operational handover
- Strong ownership mindset and drive, with the ability to take over larger features, coordinate dependencies, make pragmatic technical decisions, and proactively communicate progress and risks
A strategic finance data platform requires support from an experienced senior engineer who can take ownership of complex technical features and deliver production-grade solutions end to end.
- The role is suited for a senior software engineer, data engineer, or platform engineer with strong fundamentals in distributed computing, large-scale data processing, scalable system design, and cloud-based engineering environments.
- This is a hands-on engineering role with strong feature ownership. The candidate is expected to drive larger technical topics from requirements clarification and solution design through implementation, testing, rollout, and operational handover.
- The person should show strong drive, ownership, and responsibility, proactively coordinating the work needed for their features while considering dependencies, downstream impact, maintainability, performance, and the broader platform
- context.
Feature ownership and technical delivery
Coordination and ownership
mehr anzeigen- Take ownership of complex technical features from requirements clarification and design through implementation, testing, rollout, and operational handover
- Design and implement scalable, production-grade data platform solutions
- Apply distributed computing and large-scale data processing fundamentals to solve performance, scalability, andreliability challenges
- Write clean, maintainable, well-tested code and contribute to engineering quality through reviews, documentation, and structured development practices
- Troubleshoot and optimize complex data processing workloads and production issues
- Contribute to technical design discussions and make pragmatic trade-offs around performance, maintainability, cost, and delivery timelines
Coordination and ownership
- Break down complex or ambiguous technical topics into clear, actionable implementation steps
- Coordinate the design, implementation, testing, rollout, and communication needed for owned features
- Identify dependencies, risks, edge cases, and unclear ownership early, and drive them to resolution
- Work effectively with engineers and stakeholders to align on scope, approach, and delivery expectations
- Look beyond the immediate task by considering adjacent systems, downstream consumers, operability, data quality, and long-term platform impact
- At least 5 years of professional experience in software engineering, data engineering, or platform engineering, with strong fundamentals in distributed computing, big data processing, and scalable system design
- Proven track record of delivering production-grade technical products or features end to end, including design, implementation, testing, rollout, and operational handover
- Strong ownership mindset and drive, with the ability to take over larger features, coordinate dependencies, make pragmatic technical decisions, and proactively communicate progress and risks
