Data Engineer (Python, Cloud)

TL;DR

Data Engineer (Python, Cloud): Designing and optimizing scalable data pipelines and ELT/ETL processes for an advanced analytics team with an accent on cloud-based machine learning infrastructure. Focus on building trusted data delivery systems, implementing robust data models, and ensuring system reliability under scalable analytics workloads.

Location: Hybrid (Düsseldorf or London); up to three days remote work per week

Company

hirify.global is a leading international home shopping company operating in multiple global markets.

What you will do

• Design, build, and optimize scalable data pipelines and ELT/ETL processes to deliver trusted data across cloud platforms.
• Monitor and troubleshoot data pipelines, platform performance, and data issues to maintain quality and availability.
• Contribute to cloud data architecture, data models, and engineering standards for scalable analytics solutions.
• Collaborate with data scientists, analysts, and product owners to deliver fit-for-purpose data solutions.
• Support improvements in tooling, automation, documentation, and CI/CD deployment processes.

Requirements

• Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or equivalent practical experience.
• Experience with Oracle DB, SQL Server, data modelling, and advanced SQL knowledge.
• Solid Python programming skills, ideally with experience using Jupyter Notebooks.
• Familiarity with Spark, Linux, and Windows infrastructure components.
• Experience with cloud platforms (GCP, AWS, Azure, Databricks) and CI/CD tools like Docker and ADF.

Culture & Benefits

• Hybrid working model allowing up to three days of remote work per week.
• Dynamic international work environment with an informal corporate culture.
• Generous vacation allowance: 30 days in Germany; 23-28 days in the UK.
• Private Health Insurance (UK) and bike leasing options (DE).
• Employee discounts on hirify.global products and partnerships for sports and health activities.