{"id":3471818,"url":"https://alion.io/job/xebia-senior-gcp-data-engineer","title":"Senior GCP Data Engineer","company":{"id":1386,"name":"Xebia","domain":"xebia.com","url":"https://alion.io/company/xebia","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"C","score":64,"open_postings":33,"ghost_share":0.606,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bulgaria"],"countries":["BG"],"hiring_countries":["BG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":89000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-29T15:58:28Z","employer_posted_date":null,"last_verified_at":"2026-10-29T15:58:28Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"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.\n\nWe 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.\n\nIn 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.\n\nWe 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.\n\nThe 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.\n\nYou 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.\n\nYou will be:\n\ndesigning, building, and maintaining cloud platform solutions using Google Cloud Platform (GCP),\n\ndeveloping and managing reusable Infrastructure as Code using Terraform,\n\nbuilding and enhancing CI/CD pipelines to support reliable, automated deployments,\n\ndriving infrastructure automation and self-service capabilities for engineering teams,\n\nsupporting cloud migration activities across multiple parallel delivery streams,\n\ndesigning scalable, reliable solutions based on cloud-native architecture and distributed systems,\n\nimproving platform observability, monitoring, logging, performance, and operational reliability,\n\napplying cloud governance, security, and cost-optimization best practices,\n\ncollaborating with data engineers, data architects, and delivery teams to align platform capabilities with project needs,\n\ncontributing to engineering standards, reusable patterns, and continuous platform improvement,\n\nsupporting the evolution of the platform toward greater automation, developer enablement, and AI-assisted capabilities.\n\nYour profile:\n\nstrong hands-on experience with Google Cloud Platform (GCP),\n\nsolid experience with Terraform and Infrastructure as Code,\n\nproven experience building and maintaining CI/CD pipelines,\n\nstrong background in infrastructure automation and cloud platform engineering,\n\nunderstanding of distributed systems and cloud-native architecture,\n\nexperience working in complex enterprise environments with multiple parallel delivery streams,\n\nstrong problem-solving skills and an ownership-oriented mindset,\n\nability to communicate effectively and collaborate across technical and delivery teams,\n\nexperience with platform engineering or internal developer platforms,\n\nexposure to data platform technologies and architectures, such as BigQuery, Kafka, and data pipelines,\n\nknowledge of Kubernetes and containerization,\n\nexperience supporting large-scale cloud migrations or transformation programs,\n\nfamiliarity with monitoring, logging, and observability tools,\n\nunderstanding of cloud security and infrastructure governance best practices.\n\nWork from the European Union region and a work permit are required.\n\nNice to have:\n\nexperience building self-service platforms and developer enablement capabilities,\n\nfamiliarity with AI enablement and advanced infrastructure automation use cases,\n\nGCP certifications,\n\nexperience working with international and distributed engineering teams.\n\nRecruitment Process:\n\nCV review – HR call – Interview – Client 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