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Recare

Senior Data Engineer

Recare

. Build and operate reliable ingestion pipelines from application databases, product events, and SaaS tools into Snowflake .

Posted 11/2/2026full-timeRemote • GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating data ingestion pipelines, with a strong focus on Snowflake, Python, and SQL. Capable of ensuring data quality, compliance with GDPR, and effective communication across technical and non-technical teams.

Highest-signal resume keywords
Snowflake Data Warehouse ExperienceAdvanced SQL ProficiencyPython Programming SkillsData Pipeline Orchestration with AirflowGDPR Compliance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentSQL Query OptimizationPython Coding StandardsData Validation TechniquesChange Data CaptureIncremental LoadsData Quality ChecksRole-Based Access ControlData ProfilingSchema Evolution
Soft Skills
Clear Written CommunicationAsynchronous CommunicationTechnical Trade-Off Explanation
Tools & Technologies
SnowflakeDbtAirflowAWSKubernetesAI Coding ToolsDocker
Industry Keywords
Healthcare ExperienceRegulated-Domain KnowledgeCRM IntegrationsSaaS ToolsProduct Event Tracking

Tech Stack

Tools & technologies
AirflowAWSCloudKubernetesPostgresPythonSnowflakeSQLGo

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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