{"id":2672714,"url":"https://alion.io/job/ntt-data-senior-data-engineer-pythonbq","title":"Senior Data Engineer (Python,BQ)","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-16T05:45:00Z"}},"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":40000,"max_usd":102000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Ansible","optional":true},{"name":"Chef","optional":true},{"name":"Gmail","optional":true},{"name":"Terraform","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T14:04:16Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who we are\nYou will join the OneMIS stream, responsible for management, regulatory & risk reporting, and advanced analytics. Our mission includes enhancing data quality via KPIs and migrating data platforms to modern, cloud-native ecosystems. We operate in an agile environment, committed to responsible data practices.\nWe are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud native data products that enable advanced reporting, analytics, and decision making across the organization.\nWhat you'll be doing\nBuild scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting\nDevelop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost-efficient BigQuery data models\nDevelop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high-quality code\nDesign data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability\nBuild cloud-native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms \nOptimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance\nCollaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards\nWhat You'll Bring Along\nUniversity degree in computer science or a comparable qualification\nAt least 5 years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems\nStrong expertise in SQL and hands-on experience building performant datasets in BigQuery (or similar cloud data warehouses)\nProven experience with Python and PySpark for scalable data processing in distributed environments\nSolid understanding of data modeling, ELT/ETL patterns, and data quality best practices\nExperience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services\nHands-on experience building scalable data pipelines (batch and near real-time) in a cloud-native environment\nProficiency with version control, CI/CD pipelines, and automated testing frameworks\nAbility to troubleshoot and optimize performance across compute, storage, and processing layers\nNice to have:\nExperience with Infrastructure as Code (Terraform, Ansible, Chef)\nKnowledge of shell scripting\nExperience in financial services or regulated environments\n\nDocument\n\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. If you suspect any fraudulent activity, please contact us.\nNTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.\nNot the job for you? Perhaps you have a friend who would be a perfect fit. Send them this link!\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nMake this the place you grow\nYour unique talent is what matters. NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.\n\nDocument\n\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. 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