Senior Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SHOP APOTHEKE EUROPE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

SHOP APOTHEKE EUROPE is a pharmacy company focused on providing healthcare and pharmaceutical services within Europe. Operating under the brand name Redcare, it emphasizes a people-first approach to pharmacy, aiming to guide individuals through their health journeys. The company is committed to sustainability, aligning its strategies with the Paris Climate Agreement to contribute positively to environmental health. SHOP APOTHEKE EUROPE also engages in public affairs, investor relations, and offers career opportunities for those interested in joining their mission-driven team.

📋 Description

• Design and build scalable data pipelines powering data products across multiple business domains • Drive cloud data migration initiatives and modernize existing platforms through transition to Azure-based solutions • Transform and optimize large-scale datasets for reliable reporting, analytics, and business decision-making • Collaborate with Data Analysts, ML Engineers, DevOps Engineers, Backend Developers, Product Managers, and business stakeholders • Deliver robust end-to-end data solutions • Promote clean, maintainable code, automation, and continuous improvements across the data platform

🎯 Requirements

• 5+ years of experience in Data Engineering • Expertise in data platforms, data modeling, and production-grade data pipelines • Strong Python and SQL skills • Ability to translate business requirements into scalable technical solutions • Experience designing and supporting distributed data processing systems such as Databricks • Experience working with large-scale datasets, data lakes, data warehouses, and ETL/ELT architectures across Azure, AWS, or GCP • 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 and Airflow, and CI/CD pipelines is highly valued • Experience with relational databases including PostgreSQL, SQL Server, and Oracle • Understanding of DevOps principles and automated deployment practices • Strong problem-solving skills, ownership, and a consultative mindset • Ability to work independently and confidently in complex, fast-paced environments

🏖️ Benefits

• Work-from-home arrangements, including working anywhere in the EU for up to 20 days per year when office presence is not required • Creative team events and regularly scheduled parties • Kindergarten grant of €100 total per month for employees paying childcare costs • Anonymous, free professional psychological support through nilo • Internal and external training and career development support • Fully funded Deutschland Ticket • Urban Sports Club membership (M package) and other sports and health opportunities