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Reliable pipelines, resilient infrastructure and a scalable data platform are the foundation of every data-driven decision at idealo. As we accelerate toward real-time analytics, personalization and data monetization, the Data Platform is the engine that makes it possible. As a Staff Engineer, you’ll shape the technical foundation of the platform that thousands of daily data workloads depend on—and drive the strategic initiatives that will define what it can do next. This role combines platform engineering, cloud architecture and data engineering. You’ll influence how workloads are orchestrated across the platform, how infrastructure scales with demand and how technical decisions support idealo’s long-term data strategy. You’ll work in a modern engineering environment where state-of-the-art AI tooling—such as Claude Code—is available to accelerate your day-to-day work. About your new role Architect and develop cloud-native platform components, infrastructure automation and pipeline frameworks, with a strong focus on performance, security and maintainability. Lead technical initiatives within and across the team to align platform capabilities with business and product needs. Identify technical risks early and keep architecture decisions and technical concepts traceable across project phases. Drive continuous improvements across CI/CD pipelines, infrastructure as code, observability and monitoring. Structure technology choices as clear trade-offs—evaluating performance, cost, maintainability and integration—to inform strategic decisions. You’ll play a key role in shaping two of idealo’s most strategic platform initiatives: Personalization and Data-as-a-Service (DaaS). For Personalization, you’ll define and build a next-generation, privacy-first platform from the ground up, establishing the technical vision, architecture and engineering standards that enable highly relevant experiences across the entire customer journey for millions of users. In parallel, you’ll drive the evolution of our DaaS platform by researching, prototyping and validating new capabilities around real-time data processing, streaming technologies such as Kafka and Kinesis, and ML/AI integration. You’ll build scalable data products that enable data monetization and create new business opportunities. Working across Data Engineering, Software Engineering, Cloud, Platform, Product and Machine Learning teams, you’ll align technical direction, tackle complex cross-functional challenges and turn early concepts into production-ready platforms that will shape idealo’s long-term technology and data strategy. Mentor engineers through technical guidance, architecture discussions and code reviews, fostering a collaborative engineering culture focused on sustainable technical excellence.
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.