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DATA ENGINEER (mf/d)

SCHWARZ

📅 04/08/2026
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h4 { margin: 1rem 0 1rem 0!important; } Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group of more than 30 countries in Europe and the US. Our vision is to be the leading ecosystem for a better life. We built the European sovereign cloud STACKIT. With XM Cyber we set new standards in differing cyber crimes. We run AI better than anyone. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We exist to improve life with our products and services - for today's generation and future generations. We act future proof! The impact you will create: Building Scalable production-ready APIs in Python and Java - Expert in Python, SQL; Java beneficial Experienced in building ETL pipelines Building CI/CD pipeline and data product templates Application of monitoring capabilities Debugging support for data teams Open-source tool deployment on cloud platforms Community communication and technical knowledge exchange Support the team in establishing data engineering best practices Experience and skills you will need: Docker and Kubernetes expertise Databricks and PySpark expert with job and code optimization GCP, StackIT, and Azure expertise Demonstrated ability in stakeholder communication and management Good understanding of related data disciplines (e.g. MLOps engineering, analytics) Ability to understand, analyze and translate business requirements into data-driven solutions Enthusiasm for collaboration, knowledge sharing and joint learning Very good English skills - German is a plus, but not a must
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For people searching Engineer

144,883 engineer jobs are open right now

Here's how to pick the right one and stand out in your application.

144.883Jobs
31.687IN
81%EN

That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.

Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.

Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.

When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.

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