About the job

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.
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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 Apache Spark, Flink, or Beam, and are comfortable working with large-scale datasets, data lakes, data warehouses, and ETL/ELT architectures across Azure, 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.
• Experience with Snowflake, DBT, Docker, Kubernetes, workflow orchestration tools such as Dagster, Airflow, or NiFi, and CI/CD pipelines is highly valued.
• You have worked with both relational databases (PostgreSQL, SQL Server, Oracle) and NoSQL databases such as HBase or Cassandra, and understand DevOps principles and automated 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.