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Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace. Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group. Your tasks We are seeking a highly skilled and motivated Data Engineer to join our team. In this role, you will be involved in building scalable data solutions, driving data operations, and developing statistical and machine learning algorithms that deliver real business value. This is an exciting opportunity for someone who thrives in dynamic, agile environments and is passionate about using data to solve complex problems. Design, build, and maintain batch and real-time data pipelines. Conduct data operations, including exploration, provisioning, cleaning, testing, and ALM. Develop and implement algorithms in statistics and machine learning. Collaborate closely with business stakeholders to translate requirements into technical solutions. Ensure data integrity, quality, and availability across all systems. Extract actionable business insights. Your profile Must-have: Programming languages: Python, SQL. Must-have: Experience with Big Data frameworks such as Spark, Kafka, Kubernetes, Hive. Must-have: Familiarity with relational (e.g., SQL Server) and non-relational databases (e.g., MongoDB, ELK, Cassandra). Agile methodology experience. Nice-to-have: Knowledge of Machine Learning tools: Scikit-Learn, Pandas, Spark ML, MLflow. Nice-to-have: Knowledge of deploying infrastructure and devops. Nice-to-have: Experience in .NET. Passion for continuous learning and staying up to date with emerging technologies. Creative, innovative thinker with a proactive mindset. Strong problem-solving skills and ability to adapt quickly to change. Collaborative spirit with excellent communication skills. Comfortable working in a multi-cultural environment with fluency in English. We look forward to receiving your application. [[recruiterName]] · Reference no. [[id]] Stiftsbergstraße 1 · 74172 Neckarsulm, Germany
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.