{"id":2255868,"url":"https://alion.io/job/luxoft-senior-gcp-data-engineer","title":"Senior GCP Data Engineer","company":{"id":171185,"name":"Luxoft","domain":"luxoft.com","url":"https://alion.io/company/luxoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":85,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0.5,"time_to_fill_p50_days":11,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":125000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"Google GKE","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-06T00:00:00Z","employer_posted_date":"2026-09-06","last_verified_at":"2026-10-12T11:53:51Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Project description\nWe are looking for the best people to help create the next big thing in digital banking.\nReason to join us\nWe offer the opportunity to work in a highly professional environment where you will work with high-level financial instruments\nWe want you to be part of our success story and give you reasons to be proud of what you achieved as part of our fabulous team\nWe give you the opportunity to develop yourself and evolve in your career via our fantastic technical, business-related or soft skills training\nWe encourage creative-thinking in our great open-minded work environment. Frequently the relaxation rooms are the place where the most ambitions ideas are born.\nWe are not just professional teams, we are also friends who have fun working together\nThe team is made up of enthusiastic professionals who work in an international environment, learning new technologies as part of client`s businesses.\nResponsibilities\nData Engineering & Architecture\n Design, develop, and maintain scalable data platforms and pipelines using Google Cloud services.\n Implement data ingestion, transformation, and orchestration workflows using:o BigQuery\no Dataflow\no Dataproc\no Pub/Sub\no Cloud Storage\no Cloud SQL / PostgreSQL\n\n Define data models, partitioning strategies, and storage architectures optimized for large-scale analytics.\n Implement batch and near real-time data processing solutions.BigQuery Engineering\n\n Design, optimize, and maintain BigQuery datasets, tables, views, and data marts.\n Develop complex BigQuery SQL solutions for analytics and operational reporting.\n Optimize query performance, storage costs, partitioning, clustering, and workload management.\n Establish best practices for BigQuery governance, security, and performance monitoring.PostgreSQL Engineering\n\n Design and develop PostgreSQL database solutions on GCP.\n Create and optimize database schemas, indexes, stored procedures, and PL/pgSQL code.\n Perform database performance tuning, capacity planning, and troubleshooting.\n Support migration and modernization of legacy databases to PostgreSQL.Cloud Migration & Modernization\n\n Support migration of legacy Oracle workloads to PostgreSQL and BigQuery.\n Assess existing database architectures and recommend modernization approaches.\n Collaborate with application teams to refactor data solutions for cloud-native environments.\n Ensure data integrity, security, and operational readiness during migrations.Data Governance & Security\n\n Implement IAM controls, encryption, auditing, and data protection standards.\n Apply data governance and compliance requirements across the cloud platform.Collaboration\n\n Participate in architecture reviews, code reviews, and engineering standards definition.\n Collaborate with product owners, architects, analysts, and platform teams to deliver business value.\nSKILLS\nMust have\n Minimum 5 years of hands-on experience working with relational and analytical databases\n Minimum 1 year of hands-on experience with Google BigQuery (GCP)\n Proven expertise in Google BigQuery (GCP), with the ability to build, manage, and optimize data solutions in a cloud environment.\n Proven expertise in PostgreSQL administration and development, including schema design, data integrity, performance monitoring, and troubleshooting.\n Proficiency with GitHub for version control and collaborative development.\nNice to have\nExperience migrating Oracle databases to PostgreSQL and/or BigQuery.\nOracle SQL and PL/SQL knowledge.\nExperience with Ora2pg or similar migration tooling.\nGoogle Cloud Professional Data Engineer certification.\nGoogle Cloud Professional Cloud Architect certification.\nExperience with Terraform.\nExperience with containerized deployments using Docker and Kubernetes (GKE).\nExperience with Airflow / Cloud Composer.\nExperience with data governance, metadata management, and data quality frameworks.\nExperience with Google Cloud Dataflow for building and managing data processing pipelines.\nExperience with Google Cloud Dataproc for big data processing and analytics workloads.\nExperience with Google Cloud Pub/Sub for event-driven architectures and real-time data streaming.\nPython for data engineering, automation, data processing, and scripting 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