
10,000+ employees
Founded 1967
đ˘ Enterprise
đ¤ Artificial Intelligence
đ Cybersecurity
Enterprise ⢠Artificial Intelligence ⢠Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
đ June 2
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1967
đ˘ Enterprise
đ¤ Artificial Intelligence
đ Cybersecurity
Enterprise ⢠Artificial Intelligence ⢠Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
⢠Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses. ⢠Ensures the data is in a ready-to-use form. ⢠Utilizes skills to translate business analytic requests/requirements. ⢠Works with various technologies from big data, relational and non-relational databases. ⢠Consults on data projects of intermediate complexity. ⢠Practices code management and integration with current architectural and data governance guidelines. ⢠Produces data building blocks and data flows for varying client requests. ⢠Creates business user access methods to data. ⢠Utilizes techniques such as mapping data and transforming data to satisfy business rules. ⢠Translates business data stories into a technical story breakdown structure. ⢠Develops and maintains moderately complex scalable data pipelines. ⢠Executes on mid size projects and identifies opportunities to optimize data workflows.
⢠Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for basic to moderate scenarios. ⢠Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists with coaching and support. ⢠Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. ⢠Works with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools and is familiar with a few but requires training for some. ⢠Consults on data projects of intermediate complexity, with limited coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products. ⢠Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration with limited assistance and coaching. ⢠Creates business user access methods to structured and unstructured data. ⢠Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content. ⢠Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint. ⢠Develops and maintains moderately complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity. ⢠Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback. ⢠Applies sound knowledge of data governance concepts with limited experience in application. ⢠Executes on mid size projects and large tasks within timelines. ⢠Develops data project plans and executes with some supervision.
⢠A competitive salary and performance-based bonuses. ⢠Comprehensive benefits package. ⢠Flexible work arrangements (remote and/or office-based). ⢠You will also enjoy a dynamic and inclusive work culture within a globally renowned group. ⢠Private Health Insurance. ⢠Paid Time Off. ⢠Training & Development opportunities in partnership with renowned companies.
Apply Nowđ June 2
10,000+ employees
Senior Data Engineer at JLL leveraging advanced technical know-how to drive AI-powered data solutions. Leading initiatives that shape the future of real estate technology and foster career growth.
Apache
Azure
Cloud
Kafka
Microservices
PySpark
Python
Spark
đ May 29
AI Engineer and Data Engineer at a high-growth advertising technology company. Responsible for scaling reporting infrastructure and ensuring data quality in cloud environments.
Jenkins
SQL
Unity
đ May 25
Data Engineer creating and implementing modern data architectures for analytics solutions at Derevo. Collaborating in agile sprints, transforming complex data challenges into actionable solutions.
đŁď¸đŞđ¸ Spanish Required
Azure
ETL
PySpark
Python
Spark
SQL
đ May 25
Data Engineering Lead spearheading the development of complex data infrastructure for analytics and AI at Tiger Analytics. Leading innovative and scalable data solutions for global enterprises.
Azure
Cloud
Scala
SDLC
Spark
đ May 18
10,000+ employees
Data Architect designing and implementing scalable data architectures for innovative engineering solutions in automotive, aerospace, energy, and telecommunications.
đŁď¸đŞđ¸ Spanish Required
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Python
Scala
SQL