Software Engineer developing and implementing automation systems at Actemium Controlmatic. Collaborating in interdisciplinary teams and supporting project execution in Berlin.
About the role
- Senior engineer driving technical direction of data platform at Middesk. Collaborating with teams to build and maintain proprietary Entity Resolution system for business identity verification.
Responsibilities
- Own platform architecture and technical direction for how we ingest, transform, and serve data across highly variable input formats - business entity data sourced from thousands of government agencies, registries, and third-party providers, each with its own schema, cadence, and reliability profile
- Design and build systems for scale - both the infrastructure we need today and the infrastructure we'll need at 2–5x our current volume
- Scope and drive complex projects end-to-end, breaking ambiguous problems into well-defined milestones with clear deliverables and timelines
- Design AI-powered tooling to improve how we acquire and maintain data using LLMs, AI agents, and agent orchestration
- Partner with product engineering, data science, and business teams to understand data needs and translate them into platform capabilities
- Establish and maintain data governance and quality standards across the platform, ensuring the integrity and reliability of the data our customers depend on for compliance and risk decisions
Requirements
- 7+ years of professional software engineering experience, with meaningful time spent on data infrastructure, data engineering, or backend platform work (targeting Senior to Staff Level Engineers)
- Experience designing and operating systems at meaningful scale, ideally within a larger or rapidly scaling engineering organization
- Track record of independently owning and delivering complex, multi-milestone projects - from scoping through launch
- Strong data modeling instincts and deep familiarity with SQL, pipeline orchestration (Airflow, Dagster, etc.), and data transformation patterns
- Experience with distributed data processing frameworks (Spark, Flink, Beam, or similar) and an understanding of when and how to apply parallelization to scale pipelines beyond single-node limits
- Proficiency in one or more of: Python, Ruby, JavaScript/TypeScript, Java
Benefits
- Offers Equity
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