Staff Software Engineer - Curated Data

Jobgether; Deutschland; Remote; EUR 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Employee equity plan

5 weeks paid time off

Fully remote-first environment

Flexible working hours

Parental leave

Travel allowance

Home-office setup allowance

Co-workers in distributed teams

Company merchandise

Zusammenfassung

Jobgether is seeking a Staff Software Engineer to shape the curated data platform in a fully remote, international team. You will design and implement the control plane for the data lifecycle, manage thousands of interdependent data models, and drive architectural decisions across datasets.

You will work across Go, Kotlin, Rust, Python, and SQL, focusing on data correctness, reliability, and scalable systems.

Qualifikationen

• Significant backend experience with data systems.
• Production-grade services experience.
• Experience with orchestration and scheduling systems and their failure modes.
• Schema evolution and data correctness in downstream-dependent systems.
• Experience with stateful streaming technologies (Flink, Kafka Streams, Spark, etc.).
• Strong SQL and data modelling skills with large datasets.
• Distributed systems fundamentals and debugging/root-cause analysis.
• Ability to design across data models, services or jobs based on requirements.
• Excellent written communication for distributed teams.
• Familiarity with AI development tools and responsible usage for production.

Aufgaben

• Design and build the control plane for the curated data lifecycle, including orchestration and recovery.
• Own architectural decisions across datasets, determining best approach (data model, service, or job).
• Define contracts between data ingestion and curation layers for end-to-end data management.
• Build reliable monitoring, data quality signals, and alerting with minimal noise.
• Work across Go, Kotlin, Rust, Python, and SQL to select the right solution.
• Develop software to orchestrate thousands of interdependent data models for large-scale operations.
• Propagate schema changes and data corrections without disrupting downstream consumers.
• Translate ambiguous requirements into designs and actionable work for the team.
• Implement the most challenging components while enabling others to contribute.
• Debug production issues and drive root-cause analysis to durable fixes.
• Contribute to architecture, practices, and decisions in the curated data domain.
• Collaborate effectively in distributed teams with strong written communication and async work.

Kenntnisse

Backend engineering

Data systems

Distributed systems

SQL

Data modelling

Debugging

Root-cause analysis

Architectural thinking

Communication

Tools

Flink

Kafka Streams

Spark Structured Streaming

dbt

SQLMesh

Parquet

Iceberg

Delta Lake

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for aStaff Software Engineer - Curated Databased inGermany.

As a Staff Software Engineer, you will help design the systems that power high-quality, trusted datasets across a rapidly evolving onchain data environment.
You will own challenging problems around data orchestration, dependency management, schema evolution, corrections, and recovery at significant scale.
The role combines deep backend engineering with data systems expertise, requiring strong architectural thinking and a focus on reliable software contracts.
You will take ambiguous product requirements, turn them into clear technical designs and execution plans, and personally build the most complex components.
Working across multiple programming languages and technologies, you will choose the right solution based on the problem rather than familiarity.
You will also help distributed engineering teams break down complex initiatives, ship incrementally, and maintain high engineering standards.
This is an opportunity to have substantial technical influence while working on foundational systems where data quality and correctness are critical.

Accountabilities

• Design and build the control plane for the curated data lifecycle, including dependency-aware orchestration, backfills, restatements, retries, partial-failure handling, and recovery mechanisms.
• Own architectural decisions across datasets, determining when a problem is best addressed through a data model, service, or job.
• Design and maintain clear contracts between data ingestion and curation layers so datasets can be understood and managed end to end.
• Build reliable alerting, monitoring, and data-quality signals that identify genuine issues while minimising operational noise.
• Work across Go, Kotlin, Rust, Python, and SQL, selecting technologies based on the requirements of each problem.
• Develop software that orchestrates and manages thousands of interdependent data models and supports large-scale data operations.
• Design systems capable of propagating schema changes and data corrections without unnecessarily disrupting downstream consumers.
• Translate ambiguous product requirements into technical designs, execution sequences, and actionable work for the broader engineering team.
• Personally implement the most technically challenging components while enabling other engineers to own and deliver complementary work.
• Debug complex production issues independently and lead root-cause analysis through to durable fixes.
• Contribute to technical architecture, engineering practices, and system design decisions across the curated data domain.
• Collaborate effectively with a distributed engineering organisation through clear written communication and a strong async-working approach.
• Use AI-assisted development tools thoughtfully to increase engineering productivity while validating outputs and maintaining high standards for correctness and quality.

Requirements

• Significant experience as a backend software engineer with deep expertise in data systems, or as a data engineer who has developed strong software engineering capabilities.
• Proven track record of building and operating production-grade services, not solely data pipelines.
• Experience designing, building, or materially extending orchestration and scheduling systems, with a strong understanding of their failure modes and scaling challenges.
• Demonstrated experience with schema evolution and data correctness in systems where downstream consumers depend on reliable and stable data.
• Production experience with stateful stream-processing technologies such as Flink, Kafka Streams, Spark Structured Streaming, RisingWave, Materialize, or Feldera.
• Strong SQL and data-modelling capabilities, particularly when working with large datasets.
• Solid computer science fundamentals and a strong understanding of distributed systems.
• Experience reasoning about query execution and the underlying behaviour of data-processing engines is highly valuable.
• Strong debugging and root-cause-analysis skills, with a track record of driving issues through to durable production fixes.
• Strong architectural and systems-thinking abilities, with the confidence to make decisions across complex technical domains.
• Ability to take ambiguous requirements, develop a clear design and implementation sequence, and turn large technical problems into manageable workstreams.
• Strong written communication skills and the ability to collaborate effectively within distributed engineering teams.
• Practical experience using AI development tools and an understanding of their limitations, failure modes, and appropriate use in production engineering workflows.
• Experience with transformation frameworks such as dbt or SQLMesh is a plus, particularly experience extending them after encountering their limitations.
• Familiarity with data-lake formats such as Parquet, Iceberg, or Delta Lake is advantageous.
• Experience working in an organisation where data itself is a core product is a plus.

Benefits

• Competitive salary and equity package, positioned within the top 25% of companies in the sector.
• Employee equity plan with employee-friendly terms, including a heavily discounted strike price and a 10-year exercise window.
• 5 weeks of paid time off plus local public holidays, with flexibility to swap holidays where appropriate.
• Fully remote-first working environment within a distributed international team.
• Flexible working hours, allowing you to structure your working day around your productivity and priorities.
• Strong focus on asynchronous collaboration and a deliberate approach to reducing unnecessary meetings.
• Private medical, dental, and vision insurance.
• 16 weeks of fully paid parental leave for primary caregivers and 6 weeks for secondary caregivers.
• Two-week phased return to work at full pay following parental leave.
• Quarterly company or team offsites at international locations.
• Annual travel allowance for connecting and co-working with colleagues.
• Home-office setup allowance, with local coworking space costs covered if preferred.
• Opportunity to work alongside experienced engineers and specialists in a highly collaborative environment.
• Company merchandise and team perks.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.