Senior Data Engineer

Nelly Sweden AB

Job Overview

Location

Berlin

Job Type

Full-time

Full Job Description

📋 Description

• Own and evolve the company’s data pipeline infrastructure by designing and maintaining reliable, scalable ingestion and transformation pipelines across practice management systems and internal data sources.
• Own the data warehouse: drive thoughtful data modeling, ensure high data quality, and establish it as a trusted foundation for Analytics and Product teams.
• Define and enforce data contracts with producing teams to ensure schema stability, clear ownership, and consistent data delivery.
• Drive data model evolution by managing schema versioning, migration processes, and backward compatibility across consuming teams.
• Build and maintain Reverse ETL pipelines to sync curated data back into operational systems and business tools.
• Implement monitoring, alerting, and incident response practices for data systems to ensure high availability and rapid recovery.
• Establish and champion a documentation culture around data — including cataloging, lineage, and metadata — as first-class concerns to support governance and compliance in a regulated healthcare environment.
• Partner closely with Data Analytics, Product, and Engineering teams to ensure data is structured, accessible, and trustworthy for downstream analysis and reporting.
• Harden data ingestion pipelines from functional to exemplary standards, focusing on reliability, observability, and developer experience.
• Work with messy, heterogeneous data sources common in healthcare operations and transform them into clean, usable datasets.
• Ensure all data systems comply with security and regulatory requirements inherent to healthcare fintech.
• Promote documentation-first practices, believing undocumented data is nearly useless and actively improving knowledge sharing across teams.
• Contribute to building a data infrastructure that is discoverable, well-documented, and designed with the end-user experience in mind.
• Support the formation of a dedicated data engineering stream within the Core Data team, shaping how data systems are scaled and maintained.
• Collaborate with cross-functional teams to align data architecture with business needs in a fast-scaling healthcare technology environment.

🎯 Requirements

• 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.
• 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.

🏖️ Benefits

• Work with a team that prioritizes kindness, curiosity, and hard work — no egos, no drama, no jerks.
• Join a company backed by €50M in Series B funding from world-class investors.
• Contribute to building Europe’s leading healthcare fintech with a mission to empower over a million medical practices.
• Operate in a regulated healthcare environment with clear compliance and security requirements.
• Be part of a fast-scaling organization shaping the future of healthcare operations through automation and AI.
• Work in a culture that values documentation, knowledge sharing, and developer-friendly data systems.

Skills & Technologies

Python

AWS

Kafka

Senior

Onsite

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Nelly Sweden AB

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About Nelly Sweden AB

Nelly Sweden AB is a Swedish e-commerce company that operates the fashion and lifestyle retail site Nelly.com. The company sells clothing, shoes, accessories, and beauty products aimed primarily at women aged 15-30. Founded in 2003, Nelly offers a mix of private-label and external brands, shipping across Europe. The company is headquartered in Borås, Sweden, and is part of the Boozt Fashion Group since its acquisition in 2020.

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