Senior Data Engineer

Nelly Solutions

Senior Data Engineer at Nelly shaping data pipeline infrastructure for healthcare solutions. In charge of data quality, documentation, and collaboration with product and engineering teams.

Posted 6/12/2026full-timeBerlin • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

AWSETLKafkaPython

About the role

Key responsibilities & impact

Own and evolve our data pipeline infrastructure - designing and maintaining reliable, scalable ingestion and transformation pipelines across our practice management systems landscape and internal sources
Own our data warehouse: drive thoughtful data modeling, ensure high data quality, and make it a trusted foundation for the Analytics and product teams who depend on it
Define and enforce data contracts with producing teams, ensuring schema stability, clear ownership, and reliable data delivery
Drive data model evolution: managing schema versioning, breaking change processes, and communicating impact clearly to consuming teams
Build and maintain Reverse ETL pipelines to sync curated data back into operational systems and tools used across the business
Establish monitoring, alerting, and incident response practices for our data systems, ensuring high availability and fast time-to-recovery
Drive documentation culture around data - catalog, lineage, and metadata as first-class concerns, supporting governance and compliance in a regulated healthcare environment.
Partner closely with the Data Analytics, Product and Engineering streams to ensure data is structured, accessible, and trustworthy for downstream analysis and reporting

Requirements

What you’ll need

Strong software engineering experience in Python with production-grade data pipeline experience.
Hands-on experience building and maintaining data warehouses and implementing data contracts between teams
Experience with data transformation and modeling, working with both structured and semi-structured data sources
Practical experience with Reverse ETL
Experience with data model evolution: versioning strategies, migration processes, and maintaining backward compatibility across consumers
Strong experience with AWS
Experience with Kafka or similar event streaming platforms
Experience implementing monitoring and observability for data systems
Experience working with messy, heterogeneous data sources
Experience working in regulated environments with security and compliance requirements is a strong plus
Deep passion for documentation and knowledge sharing - you've championed documentation-first practices and believe undocumented data is nearly useless

Benefits

Comp & perks

We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.
Health insurance
Flexible working hours
Professional development opportunities
Paid time off

ATS Keywords

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Hard Skills & Tools

Pythondata pipelinedata warehousedata transformationdata modelingReverse ETLschema versioningdata contractsmonitoringobservability

Soft Skills

documentationknowledge sharingcommunicationcollaborationproblem-solving