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Salary: ₱60,000 – ₱90,000 per month Qualifications and Requirements 1.5–3 years of relevant experience in Power BI development, data engineering, business intelligence, or a related field. Hands-on experience…
Overview Imagine making it faster and easier for tens of thousands of Microsoft engineers to build great products — that's what you'll do on the Engineering Thrive Insights team. You'll join the team behind…
Senior Business Analyst partnering with Finance and HR stakeholders to gather requirements, document data models, and validate data migration to Microsoft Fabric, using SQL, Power BI, and Azure data platform tools.
Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving They use it to improve the quality and speed of their work and to continuously refine how work gets done…
About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and…
Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good,…
Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the…
Lead-level data engineer at Capgemini in Hyderabad who manages a team of data engineers and oversees data projects, ensuring delivery of reliable, high-quality data solutions. Works across a broad AWS, Azure, and GCP data stack (Redshift, Databricks, Synapse, BigQuery, EMR) plus Spark, SQL, Python, Airflow, Snowflake, and Teradata.
Senior Data Engineer at Capgemini in Aguascalientes, Mexico, working on a data modernization project for a financial services client: building and optimizing ETL pipelines, migrating legacy SQL Server environments to cloud data platforms, and developing workflows and data models using SQL, Python, Snowflake, Hive, Databricks, and Airflow.
Data Solution Architect at Capgemini (Birmingham, hybrid) designing and leading modern, secure, governed data platforms on Azure — Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), Purview, Entra ID, and IaC — for public sector clients, spanning architecture, AI/ML enablement, CI/CD, migration, and FinOps.
Senior Business Systems Analyst at Capgemini supporting enterprise data transformation and on-prem-to-cloud migration: analyzing source systems, building source-to-target mappings, writing complex SQL for validation and reconciliation, and bridging business stakeholders with data engineering and DWH teams. Onsite/hybrid in Cary, NC or Jersey City, NJ.
Capgemini is hiring a Data Engineer in Mississauga (onsite hybrid) to monitor and deliver full-cycle application and data development for business clients, centered on the Hadoop ecosystem (HDFS, YARN, MapReduce, Spark/PySpark) plus NoSQL stores like HBase, Cassandra and MongoDB. Requires 5-8 years of relevant experience and expert Python/PySpark skills.
Designs and leads delivery of modern, governed AWS data platforms for analytics, AI/GenAI, largely for UK public-sector clients. Day to day: data integration, lakehouse/warehouse architecture on S3, Glue, Redshift, Athena and Lake Formation, plus security, IaC-driven CI/CD (Terraform/CDK) and FinOps, working hybrid from Birmingham.
Data engineer at Capgemini supporting a database migration: analyzing data pipelines and source-to-target mappings, and building/maintaining ETL and ingestion pipelines with Informatica, Sybase, SQL, Postgres/SQL Server, and Java, plus CI/CD tooling (Git, Jenkins, Docker) in an Agile, hybrid onsite environment.
Senior AI Data Engineer at Capgemini in London (hybrid) who designs and builds enterprise-scale data platforms, pipelines, and semantic models, and applies Generative AI (RAG, LLMs, vector search, intelligent agents) to make enterprise data AI-ready. Core tech: SQL, Python, cloud-native data architecture, data governance.
A senior data analyst and BI role at Deloitte Luxembourg: gathering requirements, preparing and modelling data, and building Power BI/SSRS dashboards plus T-SQL/SQL Server solutions and ETL processes for internal and external stakeholders. Requires 6-8 years of experience and daily fluency in English and French.
Analytics Engineer at Capgemini Portugal supporting a European mobility client's new Tech Hub in Porto: building curated data products and scalable data models with SQL, dbt and dimensional modelling, ensuring data quality via automated testing and data contracts, and helping migrate finance reporting from SAP BW to a lakehouse.
Senior Analytics Engineer at Capgemini's new Porto tech hub, working with a European mobility client to build scalable data products and semantic models using SQL and dbt, drive SAP BW finance reporting migrations, own data quality/testing practices, and mentor other analytics engineers.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world,…
Capgemini is hiring a Data Engineer in Tampa, FL to develop and support big-data applications using PySpark, Spark SQL/Streaming, and the Hadoop ecosystem (HDFS, YARN, HBase, Cassandra/MongoDB). The role covers the full development lifecycle—analysis, design, testing, implementation—plus query and Spark performance tuning, requiring 5–8 years of relevant experience.
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