Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Recare

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 Venture Round on 2022-12

Healthcare • Healthcare Insurance • SaaS

Recare is a digital platform that provides efficient discharge management solutions for hospitals, nursing homes, rehabilitation centers, and home care companies. It facilitates a seamless transition from hospital to aftercare by managing and coordinating patient care efficiently through digital processes. Recare aims to optimize patient discharge processes, reduce costs, save time, and enhance the overall patient care experience. Their platform is utilized across a wide range of healthcare providers, enabling encrypted communication and integration with existing systems. It's recognized and supported by European regional development funds and leading healthcare institutions.

📋 Description

• Build and operate reliable ingestion pipelines from application databases, product events, and SaaS tools into Snowflake • Choose between managed connectors and custom-built ingestion solutions • Set up pipeline orchestration with dependencies, retries, alerting, and SLAs • Design product event pipelines with engineers while keeping patient data out of analytics events • Maintain dbt models connecting product usage with customer, billing, and revenue data • Build data flows between HubSpot and internal systems, including two-way synchronization where needed • Establish data validation, monitoring, and alerting before issues affect dashboards or board reports • Enforce role-based access, masking, pseudonymisation, and deletion propagation across raw and modelled data in Snowflake • Apply code review, testing, documentation, and CI/CD standards to data code • Own the data platform and shape architecture, tooling, orchestration, monitoring, and infrastructure-as-code decisions • Work across the company from the Product data team and report to the Head of Data

🎯 Requirements

• Several years of experience, typically 5 or more, building production data pipelines as a data engineer or backend engineer on data-intensive systems • Strong Python, including tested and maintainable production code • Advanced SQL, including window functions, CTEs, and query optimization • Production experience with Snowflake or a comparable cloud warehouse, including compute sizing and cost control, role-based access, masking, and performance tuning • Experience with dbt or a similar tool for tested and documented transformations • Knowledge of initial versus incremental loads, change data capture from Postgres, idempotency, schema evolution, late and out-of-order data, and backfills • Production experience with Airflow or Dagster • Experience with AWS and deploying work in containers • Data profiling, assumption testing, and data quality checks • Practical GDPR knowledge, including personal-data identification, pseudonymisation, access control, and deletion • Daily use of AI coding tools and ability to assess their output • Ability to own decisions as the only data engineer and explain technical trade-offs to non-engineers • Clear, concise, complete written documentation and asynchronous communication • Fluent English, written and spoken • Healthcare or regulated-domain experience, CRM/SaaS integrations, product event tracking, Kubernetes, Go, Snowflake-as-code, and German are bonus qualifications

🏖️ Benefits

• Purposeful work supporting hospitals and aftercare providers with trusted data • Flexible working hours • Remote-friendly work environment • Workations possible by arrangement • Edenred card • Extra vacation day for your birthday • Flat hierarchies • Mutual respect, loyalty, and recognition

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