Senior multi-domain Data Engineer (m/w/d) 100%

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.

Key Responsibilities
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

Top 3 essentials skills/experience-based requirements?

• 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