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Senior Data Engineer
Build and optimize a modern data platform on Databricks for advanced analytics, ML models, and near-real-time decision systems using PySpark, Delta Lake, and streaming pipelines.
Data engineer
Build and maintain scalable data pipelines, cloud data platforms, and analytics-ready datasets for a global food-industry project using ETL/ELT, Snowflake/Azure/AWS, and BI tools.
Full Stack Engineer (Python & React)
Build and maintain an AI-powered assistant for HP’s sales teams using Python, FastAPI, React, and Vite in a hybrid role based in León.
DATA DEVOPS
Build and automate data infrastructure using IaC (Terraform/Bicep) and CI/CD pipelines (Azure DevOps/GitHub Actions) to ensure reliable, scalable, and secure data platforms.
Analytics Engineer
Build and maintain healthcare AI data infrastructure, designing scalable models and pipelines to analyze clinical outcomes and demonstrate product value for hospitals worldwide.
Data Engineering Architecture Experte (w/m/d)
Design and lead TÜV SÜD’s data architecture, building scalable, secure pipelines and reusable data products to enable data-driven decisions and digital transformation.
Lead Python Platform Engineer
Lead Python platform engineer building data applications and APIs for capital markets, focusing on notebooks platforms and infrastructure modernization.
Staff Data Platform Engineer
Designs and scales the data infrastructure for software-defined electric vehicles, focusing on multi-region Databricks orchestration, Terraform IaC, and Spark pipelines.
Staff Data Engineer
Build and lead a trusted enterprise data and AI platform using Databricks, dbt, and Python to power executive analytics and conversational AI agents with certified, semantic data models.
Data Support Analyst (India)
Kard is transforming customer loyalty with our rewards-as-a-service API platform. We empower our partners, from neobanks to financial institutions and beyond, to offer tailored rewards that celebrate customers'…
Azure Data Platform Engineer — Greenfield, Security-First
Designs and builds a secure, modern Azure data platform using Databricks, focusing on pipelines, governance, and end-to-end infrastructure ownership.
Senior Data Platform Engineer: Azure Fabric & Databricks
Designs and builds scalable data pipelines on Azure Fabric and Databricks to transform complex datasets and enable enterprise data analytics.
Data Science Engineer – £500 a day (Inside IR35) – London
Build predictive models and analyse datasets to drive sales growth and business strategy for a global fintech firm using SQL, Python, and Databricks.
Business Analyst – Property & Casualty (P&C)
Role Overview We are seeking an experienced Business Analyst to support Customer 360 platform , being developed on the Databricks platform . The ideal candidate will have strong expertise in Property & Casualty (P&C)…
Project Manager
Leads enterprise-scale Data & AI projects, coordinating cross-functional teams to deliver Databricks-based analytics platforms and pipelines for Fortune 500 clients.
Security Management, Data Engineer
Build and maintain Azure-based security data pipelines and analytics platforms using Data Factory, Databricks, and SQL to centralize visibility across global security and operational tech systems.
Lead Data Engineer – Azure Databricks & Data Operations
If you require any support in completing your application or need this document in an alternative format, please contact the recruitment team at UKI.recruitment@tcs.com or call the TCS London Office on 020 3155 2100 .…
Data Engineer
Role: Data Engineer Working Location: Hybrid (1 day per fortnight in Wilmslow office) The Role The Citation Group is building out its data and AI capabilities to be best in class. As part of this, we're looking for…
Principal AI Data Engineer with World Leading Energy Company
Exciting Opportunity for an Experienced Principal AI Data Engineer to help build and scale GenAI and agentic AI solutions as part of a new project for a Leading Energy Company. Responsibilities: Build and evaluate…
Forward Deployed Engineer
Build and deploy production-grade AI agent systems for portfolio companies, integrating workflows, UIs, and backend services while serving as a hands-on technical advisor.