18 bästa jobben som azure och ai specialist i tullinge (Rekryterar nu!)

People Manager (Platform & Data Engineering)
Capgemini Sweden —Stockholm
- Python
Senior ML Engineer, Model builder and trainer
BookBeat —Stockholm
- Engelska
- Python
- Betald semester
- Flexibel arbetstid
Data Engineer (Databricks)
Capgemini Sogeti —Stockholm
- SQL
- AI
- Python
- Flexibel arbetstid
Integration Architect i Örebro
CGI —Stockholm
- AWS
- API:er
- AI
- Flexibel arbetstid
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Integration Architect
CGI —Stockholm
- AWS
- API:er
- AI
- Flexibel arbetstid
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DataOps Engineer
NOBA BANK GROUP —Stockholm
- Engelska
- Kontor
- Agile
AWS GCP Cloud Architect
Capgemini Sweden —Stockholm
- Kontor
- Masterexamen
- AWS
Data Engineer - Databricks to Knowit Stockholm
Knowit Sweden —Stockholm
- Maskininlärning
- Python
Cloud Engineer
Knowit Aktiebolag (publ) —Stockholm
- Heltid
- Kontor
- Kommunikationsfärdigheter
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AWS GCP Cloud Architect
Capgemini Sogeti —Stockholm
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Lead Machine Learning Engineer
Curamando —Stockholm
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BI-utvecklare
Agero —Stockholm
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Data Engineer (Databricks)
Capgemini Sweden —Stockholm
- SQL
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- Python
- Flexibel arbetstid
Cloud Engineer
Knowit Sweden —Stockholm
- Kontor
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8d
Senior Cloud Architect
Vattenfall —Stockholm
- Heltid
- Kommunikationsfärdigheter
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DevOps Platform Engineer | SEB, Solna
SEB —Solna
- Engelska
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Solutions Architect - Nordics Fungible
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Senior Data Engineer Insight
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People Manager (Platform & Data Engineering)

Capgemini Sweden -
Stockholm

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Jobbinformation

Tillsvidare

Kvalifikationer

Datasjö
Spark
Datalager
Python

Fullständig jobbeskrivning

Permanent
Experienced Professionals
Data & AI
ID 275257-en_US

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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azure och ai specialist jobb i tullinge

People Manager (Platform & Data Engineering)

Senior ML Engineer, Model builder and trainer

Data Engineer (Databricks)

Integration Architect i Örebro

Integration Architect

DataOps Engineer

AWS GCP Cloud Architect

Data Engineer - Databricks to Knowit Stockholm

Cloud Engineer

AWS GCP Cloud Architect

Lead Machine Learning Engineer

BI-utvecklare

Data Engineer (Databricks)

Cloud Engineer

Senior Cloud Architect

DevOps Platform Engineer | SEB, Solna

Solutions Architect - Nordics Fungible

Senior Data Engineer Insight

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