Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
We are looking for a Senior Data Platform Engineer to join a cloud transformation and migration project delivered for our international client. The project focuses on evolving an existing cloud platform from an initial MVP into a scalable environment that supports self-service capabilities, large-scale migration, infrastructure automation, and AI enablement.
The initiative runs from June 2026 to June 2027 and consists of multiple parallel delivery streams. The focus is on building reusable cloud infrastructure and platform capabilities that enable engineering teams to deploy, operate, and scale their workloads efficiently.
You will collaborate closely with data engineers, data architects, and delivery management, contributing to platform reliability, automation, governance, and the continuous improvement of cloud infrastructure in a complex enterprise environment.
You will be:- designing, building, and maintaining cloud platform solutions using Google Cloud Platform (GCP),
- developing and managing reusable Infrastructure as Code using Terraform,
- building and enhancing CI/CD pipelines to support reliable, automated deployments,
- driving infrastructure automation and self-service capabilities for engineering teams,
- supporting cloud migration activities across multiple parallel delivery streams,
- designing scalable, reliable solutions based on cloud-native architecture and distributed systems,
- improving platform observability, monitoring, logging, performance, and operational reliability,
- applying cloud governance, security, and cost-optimization best practices,
- collaborating with data engineers, data architects, and delivery teams to align platform capabilities with project needs,
- contributing to engineering standards, reusable patterns, and continuous platform improvement,
- supporting the evolution of the platform toward greater automation, developer enablement, and AI-assisted capabilities.
- strong hands-on experience with Google Cloud Platform (GCP),
- solid experience with Terraform and Infrastructure as Code,
- proven experience building and maintaining CI/CD pipelines,
- strong background in infrastructure automation and cloud platform engineering,
- understanding of distributed systems and cloud-native architecture,
- experience working in complex enterprise environments with multiple parallel delivery streams,
- strong problem-solving skills and an ownership-oriented mindset,
- ability to communicate effectively and collaborate across technical and delivery teams.
- experience with platform engineering or internal developer platforms,
- exposure to data platform technologies and architectures, such as BigQuery, Kafka, and data pipelines,
- knowledge of Kubernetes and containerization,
- experience supporting large-scale cloud migrations or transformation programs,
- familiarity with monitoring, logging, and observability tools,
- understanding of cloud security and infrastructure governance best practices.
Work from the European Union region and a work permit are required.
Nice to have:- experience building self-service platforms and developer enablement capabilities,
- familiarity with AI enablement and advanced infrastructure automation use cases,
- GCP certifications,
- experience working with international and distributed engineering teams.
CV review – HR call – Interview – Client Interview – Decision
Skills Required
- Strong hands-on experience with Google Cloud Platform
- Solid experience with Terraform and Infrastructure as Code
- Experience building and maintaining CI/CD pipelines
- Strong background in infrastructure automation and cloud platform engineering
- Understanding of distributed systems and cloud-native architecture
- Experience working in complex enterprise environments with multiple parallel delivery streams
- Strong problem-solving skills and an ownership-oriented mindset
- Ability to communicate effectively and collaborate across technical and delivery teams
- Experience with platform engineering or internal developer platforms
- Exposure to data platform technologies such as BigQuery, Kafka, and data pipelines
- Knowledge of Kubernetes and containerization
- Experience supporting large-scale cloud migrations or transformation programs
- Familiarity with monitoring, logging, and observability tools
- Understanding of cloud security and infrastructure governance best practices
- Work authorization and a work permit for the European Union region
- Experience building self-service platforms and developer enablement capabilities
- Familiarity with AI enablement and advanced infrastructure automation use cases
- GCP certification
- Experience working with international and distributed engineering teams
Xebia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.
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Healthcare Strength — U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
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Leave & Time Off Breadth — Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
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Retirement Support — A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.
Xebia Insights
What We Do
We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]
