Back to jobs

Senior Data Engineer

Cologne, Germany

Pay
Salary not listed in the saved posting
Work setup
Working pattern needs review — work setup source
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. Company Description
Work setup in the employer’s listing: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
Apply at Redcare Pharmacy

What you’ll work on

Full posting

Are you ready to take on the challenge of building robust data solutions for cutting-edge Data & AI initiatives?

  • Design and build scalable data pipelines for data products across business domains

  • Drive cloud data migration to Azure-based solutions

  • Transform and optimize large-scale datasets for reporting and analytics

  • Work with analysts, ML engineers and product managers on end-to-end data solutions

  • Promote clean code, automation and best practices across the data platform

From the employer’s posting
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.
Design and build scalable data pipelines
Drive cloud data migration initiatives
Transform and optimize large-scale datasets
Collaborate closely with Data Analysts, ML Engineers, DevOps Engineers, Backend Developers, Product Managers, and business stakeholders
Contribute to engineering best practices

What you’ll bring

All qualifications

Core experience

  • 5+ years of data engineering experience with production-grade pipelines
  • Strong Python and SQL skills
  • Experience with Databricks and distributed data processing
  • Experience building DBT transformation models and working with CI/CD
Qualification wording
5+ years of experience in Data Engineering
You have strong Python and SQL skills
You have experience designing and supporting distributed data processing systems such as Databricks
build transformation model using DBT and understand DevOps principles and automated

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • Docker
  • Google Cloud (GCP)
  • Iceberg
  • Kubernetes
  • Oracle
  • PostgreSQL
  • Snowflake
  • Spark
  • SQL Server
  • PySpark
Source — Tool mentions in context
About the tech stack: Azure Fabric, Azure Databricks, PySpark, Apache Spark, Python, SQL, Azure Data Platform, DBT, Snowflake, Docker, Kubernetes. About your tasks:
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.
- 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.
- 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.
- 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.

About Redcare Pharmacy

We provide our employees with a fully costed Deutschland Ticket which can be used at any time.

In the employer’s words · Read in context

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 13, 2026 · 5d ago
Recorded sightings
19
Last seen by us
Oct 17, 2026
Reposted
3 times since Aug 21, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

Job description

View original posting ↗

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.

Additional Information

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.

Company 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 “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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Already applied? Track this application

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Cologne, Germany

- 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. Company Description
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.