{"id":1331672,"url":"https://alion.io/job/dcv-technologies-lead-data-platform-engineer-remote","title":"Lead Data Platform Engineer | Remote","company":{"id":890,"name":"DCV Technologies","domain":"dcvtechnologies.co.uk","url":"https://alion.io/company/dcv-technologies","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bulgaria"],"countries":["BG"],"hiring_countries":["BG","PL","RO"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":110000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":432},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"ArgoCD","optional":false},{"name":"Backstage","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Crossplane","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitOps","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Copilot","optional":true},{"name":"dbt","optional":true},{"name":"Kedro","optional":true},{"name":"Kubernetes","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-27T10:00:17Z","employer_posted_date":null,"last_verified_at":"2026-09-27T10:00:17Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Lead Data Platform Engineer\nB2B contract\n\nLocation: Romania / Bulgaria / Poland - 100% Remote\n\nPolish is a must\n\nAbout the Client\nA large-scale e-commerce marketplace operating in Central and Eastern Europe, serving millions of users. The company runs a highly distributed, cloud-native technology stack and processes high traffic and transaction volumes. Engineering teams focus on scalability, reliability, and automation, with strong emphasis on platform engineering, data-driven decision making, and continuous delivery in a fast-growing product environment.\nProject Description\nDevelopment and evolution of a cloud-native Data Platform running on GCP, focused on improving developer experience, standardization, automation, and self-service capabilities for Data Analytics, Data Engineering, and Machine Learning teams. The role involves designing and implementing platform engineering solutions that simplify the lifecycle of Data Products, enable GitOps-based delivery processes, and accelerate adoption of GenAI-powered workflows across the organization.\nResponsibilities:\nDesign and develop tools that standardize, automate, and simplify Data Platform operations.\n\nBuild and maintain internal CLI tools for common platform and Data Product management tasks.\n\nDevelop and evolve Data Product templates based on modern data engineering practices.\n\nDesign and implement visualizations and operational insights within Backstage.\n\nCollect and analyze platform usage metrics, audit data, and adoption statistics.\n\nDesign and implement Agentic AI workflows and developer-assistance capabilities.\n\nDevelop reusable AI skills and automation components that standardize work with data products and data assets.\n\nCreate mechanisms for distribution, lifecycle management, and monitoring of AI skills.\n\nMaintain and enhance a shared Apache Airflow platform based on Cloud Composer.\n\nBuild reusable libraries, operators, and common components for Airflow DAG development.\n\nDevelop and maintain infrastructure-as-code assets and Terraform modules.\n\nContribute to GitOps adoption initiatives using tools such as Backstage, GitHub, ArgoCD, and Crossplane.\n\nCollaborate with platform, data engineering, analytics, and machine learning teams to improve platform usability and engineering efficiency.\n\nProject Domain:\ne-commerce\nTechnical Requirements (must have)\nStrong commercial experience with Python development.\n\nHands-on experience with Google Cloud Platform (GCP).\n\nPractical experience with BigQuery and cloud-based data platforms.\n\nExperience with Apache Airflow, preferably Cloud Composer.\n\nExperience building platform engineering, developer tooling, or internal self-service solutions.\n\nKnowledge of Infrastructure as Code practices and Terraform.\n\nExperience with GitOps principles and modern software delivery practices.\n\nGood understanding of data engineering concepts and Data Product lifecycle management.\n\nExperience with PySpark and/or Apache Spark ecosystems.\n\nFamiliarity with FastAPI, Pydantic, and modern Python tooling.\n\nKnowledge of CI/CD processes and source control best practices.\n\nExperience working in Agile development environments.\n\nStrong problem-solving skills and ability to work independently.\n\nEffective communication skills and ability to collaborate with cross-functional teams.\n\nProfessional proficiency in Polish and English.\n\nNice-to-have\nExperience with Vertex AI or other GenAI platforms.\n\nHands-on experience with GitHub Copilot, Copilot extensions, plugins, or AI-assisted development solutions.\n\nExperience developing Agentic AI workflows or AI automation capabilities.\n\nKnowledge of Backstage plugin development.\n\nExperience with Dataproc.\n\nFamiliarity with dbt and Kedro.\n\nExperience with ArgoCD and Crossplane.\n\nExperience building observability, telemetry, or platform analytics solutions.\n\nExperience working in large-scale data environments supporting analytics and machine learning workloads.\n\nBenefits\nStable long-term cooperation with opportunity for extension\n\nOpportunity to work with modern technologies in an international environment\n\nProfessional growth and continuous development opportunities\n\nParticipation in challenging and impactful projects\n\nIf you're interested and meet the qualifications, please send your CV at ","description_format":"text","description_chars":4313,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Polish","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Bulgaria","iso":"BG","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"},{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-27T10:24:17Z"}],"liveness":{"score":54,"band":"ok","label":"Likely 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