{"id":3613822,"url":"https://alion.io/job/deutsche-bank-senior-data-engineer-python-bigquery-fmx","title":"Senior Data Engineer – Python & BigQuery (f/m/x)","company":{"id":8385,"name":"Deutsche Bank","domain":"db.com","url":"https://alion.io/company/deutsche-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":245,"ghost_share":0.012,"stale_share":0.776,"repost_share":0.049,"time_to_fill_p50_days":32,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"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":"Chef","optional":true}],"status":"live","first_seen_at":"2026-11-02T15:32:52Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T22:23:15Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description:\nJoin DB Global Technology, Deutsche Bank’s technology center in Central and Eastern Europe. The Bucharest Technology Centre (BEX) delivers global tech products, driving the Bank's transformation. We foster a robust, hands-on engineering culture, dedicated to continuous learning, skill development, and networking. We develop applications for key business areas.\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.\nRole Overview\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.\nResponsabilities\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.\nSkills\n5+ 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.\nProven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. \nNice to have\nExperience with Infrastructure-as-Code (Terraform, Ansible, Chef).\nKnowledge of shell scripting.\nExperience in financial services or regulated environments\nWell-being & Benefits\nEmotionally and mentally balanced: We support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health.\nEmpowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.\nA professional, passionate, and fun workplace.\nA modern office with fun and relaxing areas to boost creativity.\nContinuous learning culture with coaching and support from team experts.\nA culture where you can openly speak about mental health.\nPhysically thriving: We support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive. For example, Private healthcare and life insurance with premium benefits for you and discounts for your loved ones, healthier ways of working and check-up's.\nSocially connected: We strongly believe in collaboration, inclusion and feeling connected to open-up new perspectives and strengthen our self-confidence and well-being.\n24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).\nHybrid working model with flexible working options\nEnjoy retailer discounts, cultural and CSR activities, workshops, and more.\nFinancially secure: We support you to meet personal financial goals during your active career and for the future.\nCompetitive income, performance-based promotions, and a sense of purpose.\nMeal vouchers, bonuses for referrals\nInterested in more: discover what our employees value in the Well-being & Benefits hub!\nWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.\nTogether we share and celebrate the successes of our people. Together we are Deutsche Bank Group.\nWe welcome applications from all people and promote a positive, fair and inclusive work environment.","description_format":"text","description_chars":5285,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule","Hybrid work","Life insurance"],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-11-02T15:32:52Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":32,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/deutsche-bank-senior-data-engineer-python-bigquery-fmx","json_url":"https://alion.io/job/deutsche-bank-senior-data-engineer-python-bigquery-fmx.json","meta":{"generated_at":"2026-11-04T00:24:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":544,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8385},"rest":"https://alion.io/mcp/rest/get_company?id=8385"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeutsche-bank-senior-data-engineer-python-bigquery-fmx"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdeutsche-bank-senior-data-engineer-python-bigquery-fmx"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdeutsche-bank-senior-data-engineer-python-bigquery-fmx"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/deutsche-bank-senior-data-engineer-python-bigquery-fmx\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeutsche-bank-senior-data-engineer-python-bigquery-fmx"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3613822}},{"tool":"search_jobs","arguments":{"company":"db.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3613822},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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