{"id":3460234,"url":"https://alion.io/job/deutsche-bank-lead-engineer-data-ingestion-vp","title":"Lead Engineer, Data Ingestion, VP","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":236,"ghost_share":0.013,"stale_share":0.775,"repost_share":0.047,"time_to_fill_p50_days":32,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":91000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":50},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenShift","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Copilot","optional":true},{"name":"FinOps","optional":true},{"name":"Gemini","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2026-10-29T13:37:30Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-02T21:22:07Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description:\nJob Title:Lead Engineer, Data Ingestion\nLocation: Pune, India\nCorporate Title: VP\nRole Description\nThe Global Data Ingestion team within Risk & Finance Technology delivers trusted, high-quality data to platforms supporting Risk, Finance and Treasury. We are looking for a hands-on Lead Engineer to provide technical leadership across scalable data-ingestion products and services.\nAs a Vice President, you will define technical direction, solve complex engineering problems, influence architecture and engineering practices beyond the immediate team, and develop the capability of other engineers. You will work closely with Product Owners, Architects, engineers, business stakeholders and control functions, retaining end-to-end ownership from solution design through production operation.\nWhat we’ll offer you\nAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy\nBest in class leave policy\nGender neutral parental leaves\n100% reimbursement under childcare assistance benefit (gender neutral)\nSponsorship for Industry relevant certifications and education\nEmployee Assistance Program for you and your family members\nComprehensive Hospitalization Insurance for you and your dependents\nAccident and Term life Insurance\nComplementary Health screening for 35 yrs. and above\nYour key responsibilities\nProvide hands-on technical leadership for the architecture, design, development and evolution of secure, scalable and resilient data-ingestion platforms.\nDefine and communicate technical direction aligned with business priorities, target architecture and divisional engineering standards.\nLead delivery using Java, Spring Boot, Apache Spark, PySpark, Kubernetes, OpenShift and Google Cloud Platform services such as Cloud Run, Dataproc, GKE and BigQuery.\nDevelop reusable frameworks, common components and engineering patterns for batch, API-based, event-driven and distributed data processing.\nRemain actively involved in coding, prototyping, code reviews, troubleshooting and critical technical changes.\nDrive clean-code practices, automated testing, CI/CD, secure deployment, performance engineering and continuous improvement.\nOwn production readiness, observability, service-level objectives, capacity, resilience, incident resolution and sustainable remediation.\nEmbed information security, data management, risk, audit and regulatory controls throughout the engineering lifecycle.\nInfluence architecture and engineering decisions across teams, simplifying the technology estate and reducing duplication, technical debt and operational risk.\nMentor and coach engineers, resolve technical disagreements and foster an inclusive culture of accountability, collaboration and continuous learning.\nYour skills and experience\nSignificant experience in software or data engineering, including technical leadership of complex platforms or products in a large organisation.\nStrong hands-on development experience in Java, Spring Boot and Apache Spark using Java and/or PySpark.\nStrong understanding of distributed processing, SQL, data modelling, APIs, microservices and event-driven integration patterns.\nPractical experience with Kubernetes, OpenShift and Google Cloud Platform, preferably Cloud Run, Dataproc, GKE and BigQuery.\nExperience with CI/CD, automated testing, Git-based workflows, secure engineering and production support for business-critical services.\nDemonstrated ability to define technical direction, develop reusable standards and influence decisions across organisational boundaries.\nStrong analytical, communication and stakeholder-management skills, with the ability to connect engineering decisions to business value, risk and total cost of ownership.\nExperience mentoring engineers and improving the technical capability, delivery discipline and production ownership of wider teams.\nExperience in a regulated environment, preferably banking, financial services, Risk, Finance, Treasury or regulatory reporting.\nGood to have\nHands-on experience with GitHub Copilot and/or Gemini Code Assist or CLI; Agentic AI applications; specification-driven development; Model Context Protocol; LangChain/LangGraph; Retrieval-Augmented Generation; Polars; Trino; Kafka; data lineage, metadata and data-quality frameworks; Site Reliability Engineering and FinOps.\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.\nHow we’ll support you\nTraining and development to help you excel in your career\nCoaching and support from experts in your team\nA culture of continuous learning to aid progression\nA range of flexible benefits that you can tailor to suit your needs\nAbout us and our teams\nPlease visit our company website for further information:\nhttps://www.db.com/company/company.html\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":5268,"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":[]},"benefits":["Continuous learning","Life insurance","Parental leave"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-29T13:37:30Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":32,"reasons":["conf:6","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/deutsche-bank-lead-engineer-data-ingestion-vp","json_url":"https://alion.io/job/deutsche-bank-lead-engineer-data-ingestion-vp.json","meta":{"generated_at":"2026-11-02T22:02:36Z","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":31020,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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-lead-engineer-data-ingestion-vp"},{"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-lead-engineer-data-ingestion-vp"},{"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-lead-engineer-data-ingestion-vp"},{"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-lead-engineer-data-ingestion-vp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeutsche-bank-lead-engineer-data-ingestion-vp"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3460234}},{"tool":"search_jobs","arguments":{"company":"db.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3460234},"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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