Senior Data Engineer (m/f/d)

Redcare Pharmacy; Köln; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

WFH up to 20 days

Team events

Kindergarten grant

Mental health support

Career development

Deutschland Ticket

Urban Sports Club

Job summary

Redcare Pharmacy is seeking a Data Engineer to design and optimize data pipelines and architectures powering AI initiatives and analytics within a healthcare-focused data platform.

You will work with Azure Fabric, Azure Databricks, PySpark, Python, and SQL to deliver scalable solutions and collaborate with Data Analysts, ML Engineers, DevOps, Backend Developers, and Product Managers to drive data-driven decision making.

Qualifications

• 5+ years of experience in Data Engineering with data platforms, modeling and production pipelines.
• Experience with distributed processing systems (Databricks) and large datasets, lakes, warehouses, ETL/ELT.
• Understanding of scalable system design and modern lakehouse technologies (Delta, Iceberg, Hudi).

Responsibilities

• Design and build scalable data pipelines powering high-impact data products across domains.
• Lead cloud data migration and modernization to Azure-based solutions.
• Transform and optimize large-scale datasets for reliable reporting and analytics.
• Collaborate with Data Analysts, ML Engineers, DevOps, Backend Developers, Product Managers and stakeholders to deliver end-to-end data solutions.
• Promote clean, maintainable code, automation and CI/CD practices across the data platform.

Skills

5+ years data eng

Problem solving

Tools

Azure Fabric

Azure Databricks

PySpark

Apache Spark

Python

SQL

Azure Data Platform

DBT

Snowflake

Docker

Kubernetes

Delta Lake

Iceberg

Hudi

Job description

About Redcare Pharmacy

As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision

About Redcare Pharmacy

As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.

About the role

Are you ready to take on the challenge of building robust data solutions for cutting-edge Data & AI initiatives? As a Data Engineer, you’ll be at the forefront of developing and optimizing data pipelines and architectures that enable Data & AI models to deliver transformative insights. Join us to shape the future of digital healthcare with data-driven innovation.

Job Description

About the tech stack:

Azure Fabric, Azure Databricks, PySpark, Apache Spark, Python, SQL, Azure Data Platform, DBT, Snowflake, Docker, Kubernetes.

About your tasks:

• Design and build scalable data pipelines that power high-impact data products across multiple business domains.
• Drive cloud data migration initiatives, helping modernize existing platforms and supporting the transition to Azure-based solutions.
• Transform and optimize large-scale datasets to enable reliable reporting, analytics, and business decision-making across the organization.
• Collaborate closely with Data Analysts, ML Engineers, DevOps Engineers, Backend Developers, Product Managers, and business stakeholders to deliver robust end-to- end data solutions.
• Contribute to engineering best practices by promoting clean, maintainable code, automation, and continuous improvements across the data platform.

Qualifications

About you:

• You bring 5+ years of experience in Data Engineering, with expertise in Data Platforms, Data Modeling, and building production-grade data pipelines. You have strong Python and SQL skills and know how to translate business requirements into scalable technical solutions.
• You have experience designing and supporting distributed data processing systems such as Databricks and are comfortable working with large-scale datasets, data lakes, data warehouses, and ETL/ELT architectures across Azure (preferred), AWS, or GCP.
• You have a solid understanding of scalable system design, data engineering best practices, and modern Lakehouse technologies such as Apache Delta, Iceberg, and Hudi.
• You have worked with relational databases (PostgreSQL, SQL Server, Oracle), build transformation model using DBT and understand DevOps principles and automated CI/CD pipelines deployment practices.
• You combine strong problem-solving skills, ownership, and a consultative mindset with the ability to work independently and confidently in complex, fast-paced environments.

About your Benefits

In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits:

• Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU.
• Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties.
• Kindergarten Grant: We offer our employees who pay for childcare in kindergarten 100,00 € (total) per month.
• Mental health: Get quick professional help from psychologists from nilo if you feel overwhelmed in your personal or professional life. Anonymously and free of charge.
• Personal Development: We are all constantly learning. That's why we support and foster your career development through internal & external training and help you grow.
• Mobility: Your commute matters to us. We provide our employees with a fully costed Deutschland Ticket which can be used at any time.
• Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.

While this is a remote position based in Germany, it may require occasional on-site collaboration at our offices in Berlin or Cologne, depending on business and team requirements.