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People Manager (Platform & Data Engineering)
Reads like a Data Leadership role: running a data team.
Stockholm, SE
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead and develop a team of 5-10 data consultants
Hold regular 1:1s on career goals, growth and wellbeing
Design and build scalable data pipelines in Azure with Fabric, Databricks and Spark
Build and deploy AI/ML models using Databricks ML and Azure ML
Monitor and optimize pipelines for performance and cost
From the employer’s posting
Lead and inspire a team of 5-10 consultants
conducting regular 1:1s to support each team member’s career goals, growth paths, and wellbeing
Design and build efficient and scalable data pipelines using tools like Fabric, Databricks and Apache Spark in Azure.
Build and deploy AI/ML models using Databricks ML and Azure ML
Monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.
About Capgemini Service SAS
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20262 days ago
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Capgemini Service SAS is hiring
293 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Snowflake
- Spark
Where the posting names them
- Strong knowledge of data warehouse concepts and hands-on experience with Azure services (Azure Data Lake Storage, Databricks, Azure Data Factory). - Proficiency in SQL and scripting languages like Python, plus practical familiarity with AI/ML tools and concepts. What we believe you will enjoy about working here
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. 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.
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. Your role As a Data Engineer with a focus on Azure, GCP, Fabric, Snowflake or Databricks, you will: - Design and build efficient and scalable data pipelines using tools like Fabric, Databricks and Apache Spark in Azure.
Your role As a Data Engineer with a focus on Azure, GCP, Fabric, Snowflake or Databricks, you will: - Design and build efficient and scalable data pipelines using tools like Fabric, Databricks and Apache Spark in Azure. - Develop secure, scalable data lakehouses and warehouses, including data models and quality frameworks.
- Develop secure, scalable data lakehouses and warehouses, including data models and quality frameworks. - Build and deploy AI/ML models using Databricks ML and Azure ML to turn data into actionable insights. - Monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.
- Experience in Data Engineering. - Proven expertise in technologies such as Azure, Databricks, Apache Spark, and modern data pipeline development. - Strong knowledge of data warehouse concepts and hands-on experience with Azure services (Azure Data Lake Storage, Databricks, Azure Data Factory).
- Proven expertise in technologies such as Azure, Databricks, Apache Spark, and modern data pipeline development. - Strong knowledge of data warehouse concepts and hands-on experience with Azure services (Azure Data Lake Storage, Databricks, Azure Data Factory). - Proficiency in SQL and scripting languages like Python, plus practical familiarity with AI/ML tools and concepts.
- Continuous career growth - we offer diverse, personalized development pathways and programs tailored to your ambitions. - Future-proof skills - gain valuable certifications in leading technologies such as Databricks, Azure, Fabric, or Snowflake. Your application As 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.
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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Already applied? Track this application
About Capgemini Service SAS
- People
- About 11,267 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as CAP.PA.
- H-1B visas
- 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job 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.
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.
Your role
As a Data Engineer with a focus on Azure, GCP, Fabric, Snowflake or Databricks, you will:
- Design and build efficient and scalable data pipelines using tools like Fabric, Databricks and Apache Spark in Azure.
- Develop secure, scalable data lakehouses and warehouses, including data models and quality frameworks.
- Build and deploy AI/ML models using Databricks ML and Azure ML to turn data into actionable insights.
- Monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.
- Collaborate closely with cross-functional teams to ensure smooth delivery and real business outcomes.
-
Stay curious and continuously learn, exploring new technologies and best practices together with your team.
As a People Manager, you will:
- Lead and inspire a team of 5-10 consultants, creating a positive, collaborative, and motivating environment.
- Focus on individual development, conducting regular 1:1s to support each team member’s career goals, growth paths, and wellbeing.
- Be a key part of the AI & Data Engineering leadership team, influencing strategy and team culture.
- Prioritize people and clients - we intentionally minimize administrative tasks so you can focus on what truly matters.
Your profile
- Experience in Data Engineering.
- Proven expertise in technologies such as Azure, Databricks, Apache Spark, and modern data pipeline development.
- Strong knowledge of data warehouse concepts and hands-on experience with Azure services (Azure Data Lake Storage, Databricks, Azure Data Factory).
- Proficiency in SQL and scripting languages like Python, plus practical familiarity with AI/ML tools and concepts.
What we believe you will enjoy about working here
- Flexibility that works for you - remote options and flexible hours to support a healthy work-life balance.
- Continuous career growth - we offer diverse, personalized development pathways and programs tailored to your ambitions.
- Future-proof skills - gain valuable certifications in leading technologies such as Databricks, Azure, Fabric, or Snowflake.
Your application
As 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.
#LI-EA1
About Capgemini
Capgemini 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. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Stockholm, SE
What we believe you will enjoy about working here - Flexibility that works for you - remote options and flexible hours to support a healthy work-life balance. - Continuous career growth - we offer diverse, personalized development pathways and programs tailored to your ambitions.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.