Senior Data Engineer

🔥 35 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Thinkport GmbH

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Thinkport GmbH is a cloud consulting company that specializes in providing tailored solutions for enterprise clients, focusing on cloud migration, hybrid cloud environments, and cloud development. With expertise in leading cloud service platforms like AWS, Azure, and Google Cloud, Thinkport assists organizations in enhancing their operational agility, reducing costs, and improving customer satisfaction. They also offer training workshops to build knowledge within teams, ensuring that both systems and personnel are well-equipped for the cloud.

📋 Description

• Develop modern, production-ready data platforms in the cloud • Design scalable data architectures, reliable data pipelines, and consistent data integrations in agile client projects • Plan, develop, and operate modern data platforms and data pipelines • Develop reliable ETL and ELT processes • Ensure consistent data flow between different systems • Use Python, SQL, Spark or PySpark, and Databricks • Automate cloud infrastructure and deployments using Infrastructure as Code, particularly Terraform • Collaborate with Cloud Engineers and Cloud Architects to ensure data quality, security, and stable operations • Contribute your expertise to technical decisions • Support less experienced colleagues in their professional development • Learn about new technologies and expand your knowledge based on the client project

🎯 Requirements

• At least five years of professional experience in data engineering • Ideally, experience in consulting or software development projects • Excellent knowledge of Python and SQL • Practical experience with PySpark and Databricks • Solid practical experience with a major cloud platform, ideally AWS; alternatively, Azure or Google Cloud • Experience with ETL processes • Experience with Infrastructure as Code, particularly Terraform • Good understanding of modern data architectures, data quality, and the stable operation of production systems • Excellent analytical skills and the ability to quickly understand complex technical concepts • Structured, results-oriented approach with a strong commitment to quality • Strong service and customer orientation • Team player who actively contributes • Excellent written and spoken German and English

🏖️ Benefits

• Structured onboarding supported by experienced colleagues • Training budget and dedicated time for professional development • Opportunities for growth and involvement in shaping the company • Your ideas are valued • Flat hierarchies • Flexible, family-friendly working hours • The opportunity to work from anywhere • Monthly support or a budget for home-office equipment for remote colleagues • Regular team events, including a weekly breakfast, office and team events, Company Day, and Christmas party • Bicycle through JobRad or company vehicle leasing • Corporate fitness through EGYM Wellpass for €20 per month • Meetups and events for exploring innovative technologies