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About Atos Group Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. We are looking for an independent and proactive specialist who is passionate about modern data analytics within the Microsoft cloud ecosystem. As a Medior Consultant , you will bridge the worlds of data engineering and business consulting. Your primary responsibility will be implementing Microsoft Fabric , integrating data solutions in Microsoft Azure , and delivering AI-powered capabilities (including Copilot and Azure AI) that help our clients make better business decisions. Your Responsibilities Design modern data architectures based on the Microsoft Fabric ecosystem, including OneLake, Data Factory, Lakehouse, and Warehouse. Build and optimize ETL/ELT processes using Azure Data Factory and Synapse notebooks (Spark / PySpark). Implement AI-driven solutions, such as integrations with Azure OpenAI, Copilot, and AI-powered process automation within Microsoft Fabric. Develop data models for advanced analytics and integrate them with Power BI. Collaborate directly with business stakeholders to gather requirements, provide technical consulting, and translate business needs into effective IT solutions. Requirements (Must-Have) Experience Minimum 3–4 years of commercial experience in Azure Data Engineering or Business Intelligence. Microsoft Fabric Hands-on experience or successful project delivery using Microsoft Fabric. Technical Skills Strong SQL knowledge. Azure Cloud Solid understanding of Azure services such as Azure Data Lake, Azure SQL, and Azure Data Factory. Languages Fluent Polish and English proficiency at B2 level or higher (working with documentation and/or international clients). Nice to Have Certifications Microsoft DP-600 (Fabric Analytics Engineer) and/or DP-203 (Azure Data Engineer). AI Expertise Basic experience implementing Azure AI / Azure OpenAI services. Data Visualization Knowledge of Power BI and experience building advanced semantic models using DAX. What’s in it for you? Wellbeing programs & work-life balance - integration and passion-sharing events Private medical and dental care Benefits platform – shopping, cinema, sport etc. Co-funding of sports activities, e.g. Multisport & OK system cards, b-active program Courses and certifications e.g. Google Cloud, AWS, ITIL Conferences and Expert Communities Gift packages for special occasions Easter, Christmas, Children’s Day Appreciation for seniority additional days off, Atos Jubilee gifts Hybrid working mode (max. 2 times per month based on a location) Charity and eco initiatives What happens next? Quick conversation with HR Interview with a Manager/IT expert/project representative Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.
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.