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We are looking for a Software Engineer with a strong focus on Data Engineering and backend development to join the AI & Data Analytics team working on B2B Data Products. This is a hands-on role focused on building, improving, and industrializing data pipelines, Spark-based workflows, and internal data applications. You will work closely with engineering, analytics, product, and platform teams to deliver reliable and scalable data solutions. Engagement details Location: Poissy, France Contract type: Permanent contract via EOR, or Freelance Start date: ASAP Work model: Hybrid Role Focus Design, develop, and maintain data pipelines and backend data-processing solutions Build Spark-based workflows using Python, SQL, and Databricks or similar platforms Transform, validate, and structure data for analytical and operational use cases Contribute to data modelling, data warehousing, and data architecture decisions Develop and maintain internal tools supporting engineers, analysts, or data scientists Improve the reliability, performance, and maintainability of existing data workflows Support deployment, testing, monitoring, and production troubleshooting Collaborate with Data, Analytics, Product, and Platform teams Document technical solutions and contribute to engineering best practices What We're Looking For 3–5 years of experience in data engineering or backend software development Strong proficiency in Python, Spark, and SQL Experience with Databricks or a similar platform for Spark-based workflows, data engineering, or notebook-driven processing Good understanding of data modelling, data warehousing, and data architecture principles Experience building and maintaining data pipelines in production Basic knowledge of container environments such as Docker Strong problem-solving skills and an ability to work with technical and business stakeholders Degree in Computer Science, Engineering, Mathematics, or a related field preferred Bonus Points Experience with AWS or another cloud data platform Familiarity with Scala or an interest in functional programming Experience with ReactJS Experience with data visualization or supporting BI and analytics teams Background in building internal tools for engineers, analysts, or data scientists Next Steps Press “Apply” and we will review your application. If your profile is relevant, you will be accepted into the network and considered for this and similar opportunities.
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.