Client Introduction In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT
CONTRACT TO HIRE ( 6 MONTHS OF CONTRACT THEN WILL CONVERT TO FULL TIME ) NEED ASAP ( START DATE 14th September) Data Engineer About the Role: As a Data Engineer, youll design, build, and scale the data
About Us: MEAtec is a fast-growing deep tech company developing AI-driven battery analytics, digital battery passport solutions, second-life decision-making tools, lifecycle management platforms, and edge-to-cloud BMS technologies for electric vehicles and energy storage systems. With a strong
Only apply if you can start ASAP - Start Date September 21 Only apply if you are comfortable with a Contract to Hire role (6-month contract; after that it will convert to Full-Time Permanent) Data Engineer –
Insight Global is seeking an experienced Analytics Engineer / Data Engineer to support a large-scale data transformation and enablement initiative. This individual will serve as a key bridge between source systems and reporting teams, helping ensure data accuracy, consistency,
Role: Hardware Engineer (Remote) Location: Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking a Hardware Expert to work on a Full-Time basis in the development of hardware solutions for AI
Patch Engineer – Endpoint Vulnerability Analysis & Remediation Location: India Remote Shift: 5:00 PM – 2:00 AM IST, Monday–Friday Position Summary We are seeking a highly skilled Patch Engineer to join our Enterprise Patch Management and Vulnerability Remediation
Senior Data Engineer — Microsoft Fabric & Databricks XCentium — India (Remote) This is a Full-Time Remote position with a flexible work environment and great benefits! Apply today! About Us XCentium is an award-winning digital consultancy focused
About Vericence Vericence is a digital engineering and technology consulting firm helping enterprises build AI-driven platforms, modernize legacy systems, and scale innovation through cloud, data, and intelligent engineering. We partner with global organizations to deliver high-impact technology
About the Job We are looking for an experienced L2 IT Infrastructure Operations Engineer to provide advanced technical support for our enterprise server and network infrastructure. This mid-level position bridges the gap between frontline support and expert-level
About the Role We are looking for an experienced Data Engineer / Analytics Engineer to build and maintain modern data pipelines using Snowflake, dbt Cloud, and Fivetran . The ideal candidate should have hands-on experience with cloud data
About TailorFlow AI TailorFlow AI is a Cambridge-based enterprise AI services company that designs and delivers bespoke solutions for complex business problems. We help enterprises and ambitious mid-market organisations identify valuable AI opportunities and implement systems that
Company Description Anelyz is a market research and research technology company helping organizations execute research faster, improve data quality, and make better-informed decisions. We bring together research technology, global audience access, fieldwork expertise, and quality intelligence
Job Description: This is an individual-contributor role within the Content Strategy team in Norstella Content Operations, reporting to the Director, Analytics & Insights (Clinical RWD/RWE Solutions). It is a hands-on technical role that turns approved clinical
We are hiring a senior Quality Engineering leader who owns end-to-end quality, release sign-off, and automation strategy across our platform — including AI agents, web applications, APIs, and databases . This role blends: Quality Ownership Automation
We are looking for an experienced Data Scientist to build, evaluate, and productionize predictive and intelligent models across ML, deep learning, NLP, and computer vision. The role focuses on developing production-ready models, maintaining statistical rigor, and