{"id":1807767,"url":"https://alion.io/job/capgemini-people-manager-platform-data-engineering","title":"People Manager (Platform & Data Engineering)","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1775,"ghost_share":0.001,"stale_share":0.786,"repost_share":0.006,"time_to_fill_p50_days":28,"computed_at":"2026-10-22T06:10:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-18T12:33:34Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-23T00:11:02Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"At Capgemini, you have the opportunity to shape your career in a way that fits your life, your goals, and your ambitions - supported by a collaborative team where knowledge sharing and continuous learning are part of everyday work. We believe in reimagining what’s possible and using technology to build a more sustainable and inclusive future. Our Insights & Data team leads the way in this mission, delivering end-to-end Data & AI solutions across industries. With over 550 specialists in the Nordics and strong partnerships with Google, AWS, Microsoft, Databricks, and Snowflake, we scale next-generation Cloud Data & Analytics with impact. Here, your skills matter, your ideas matter, and your growth matters. Join us and be part of transforming industries with cutting-edge data innovation. We value diverse perspectives and know that innovation happens when people with different backgrounds and experiences come together. We actively encourage people from underrepresented groups in tech to apply.\n Ready to elevate your career? We are now looking for our next People Manager within the AI & Data Engineering unit - a role that brings together leadership, technical depth, and genuine influence.\nYour role\nAs a Data Engineer with a focus on Azure, GCP, Fabric, Snowflake or Databricks, you will:\n\nDesign and build efficient and scalable data pipelines using tools like Fabric, Databricks and Apache Spark in Azure.\nDevelop secure, scalable data lakehouses and warehouses, including data models and quality frameworks.\nBuild and deploy AI/ML models using Databricks ML and Azure ML to turn data into actionable insights.\nMonitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.\nCollaborate closely with cross-functional teams to ensure smooth delivery and real business outcomes.\nStay curious and continuously learn, exploring new technologies and best practices together with your team.\n\nAs a People Manager, you will:\n\nLead and inspire a team of 5-10 consultants, creating a positive, collaborative, and motivating environment.\nFocus on individual development, conducting regular 1:1s to support each team member’s career goals, growth paths, and wellbeing.\nBe a key part of the AI & Data Engineering leadership team, influencing strategy and team culture.\nPrioritize people and clients - we intentionally minimize administrative tasks so you can focus on what truly matters.\nYour profile\nExperience in Data Engineering.\nProven expertise in technologies such as Azure, Databricks, Apache Spark, and modern data pipeline development.\nStrong knowledge of data warehouse concepts and hands-on experience with Azure services (Azure Data Lake Storage, Databricks, Azure Data Factory).\nProficiency in SQL and scripting languages like Python, plus practical familiarity with AI/ML tools and concepts.\n\nWhat we believe you will enjoy about working here\n\nFlexibility that works for you - remote options and flexible hours to support a healthy work-life balance.\nContinuous career growth - we offer diverse, personalized development pathways and programs tailored to your ambitions.\nFuture-proof skills - gain valuable certifications in leading technologies such as Databricks, Azure, Fabric, or Snowflake.\nYour application\nAs part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required. We know that great candidates don’t always meet every requirement. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every point listed.\nAbout Capgemini\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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