{"id":3323980,"url":"https://alion.io/job/deutsche-bank-senior-engineer-vp-4","title":"Senior Engineer, 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":80,"open_postings":231,"ghost_share":0.009,"stale_share":0.766,"repost_share":0.043,"time_to_fill_p50_days":32,"computed_at":"2026-10-28T05:59:10Z"}},"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":46000,"max_usd":95000,"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":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Apache Iceberg","optional":true},{"name":"GCP","optional":true},{"name":"GitHub","optional":true},{"name":"Polars","optional":true}],"status":"live","first_seen_at":"2026-10-27T09:11:13Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T12:15:45Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description:\nJob Title: Senior Engineer\nLocation: Pune, India\nCorporate Title: VP\nRole Description\nThe Senior Engineer will provide technical leadership for the modernisation of legacy SAS-based data solutions into scalable, maintainable Python platforms. The role combines hands-on engineering with architectural ownership, establishing reusable frameworks and robust delivery standards across enterprise data workloads.\nCore capabilities\nPython engineering: Advanced Python development, object-oriented design and clean-code practices, with experience creating modular, reusable libraries and frameworks.\nWorkflow orchestration: Deep expertise designing, deploying and maintaining scalable Apache Airflow DAGs, custom operators and scheduling patterns.\nCloud-native platforms: Strong experience deploying and scaling containerised applications on Google Kubernetes Engine, including Kubernetes configuration and resource management.\nFramework architecture: Proven ability to design, version and maintain shared engineering frameworks, data pipelines and integration components.\nOperational excellence: Experience with observability, profiling, performance tuning, automated testing, CI/CD, GitOps and Docker.\nDesirable expertise\nHands-on experience with Python Polars for high-performance, memory-efficient data processing.\nKnowledge of Apache Iceberg, including transaction management, schema evolution and file-layout optimisation.\nExperience troubleshooting complex orchestration failures and supporting high-throughput, highly available integrations across shared platforms such as GPFS.\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\nLead the design, development and maintenance of enterprise-grade Python frameworks, reusable libraries and data pipelines that support the migration from SAS to modern Python-based solutions.\nDefine engineering standards and provide technical leadership for clean code, object-oriented design, automated testing, versioning and documentation.\nDesign, deploy and operate scalable Apache Airflow workflows, including DAGs, custom operators, scheduling patterns, dependency management and failure recovery.\nDeploy and scale containerised workloads on Google Kubernetes Engine, maintaining Kubernetes configurations, resource controls and high-availability services.\nDrive adoption of high-performance data processing and lakehouse technologies, including Python Polars and Apache Iceberg, with effective schema evolution and file-layout optimisation.\nYour skills and experience\nExtensive technology-engineering experience, ideally gained within complex, highly regulated enterprise environments.\nExpert-level Python development skills, including object-oriented design, reusable frameworks, automated testing and clean-code practices.\nStrong hands-on experience with Apache Airflow, Google Kubernetes Engine, relational and distributed databases, GitHub, CI/CD, GitOps and Docker.\nExperience modernising legacy SAS workloads and designing scalable data-processing solutions; knowledge of Python Polars and Apache Iceberg is advantageous.\nProven people-leadership experience, including managing, coaching and developing a sizeable engineering team and building an inclusive, high-performing culture.\nDemonstrated ability to set technical direction, make sound architectural decisions and balance strategic objectives with hands-on delivery.\nStrong stakeholder-management and communication skills, with the ability to influence senior partners and collaborate across engineering, data, infrastructure, risk and control functions.\nStrong analytical and problem-solving skills, with experience improving reliability, security, performance, observability and operational resilience.\nProven ability to use AI tools to enhance productivity, optimise workflows and solve business problems, while applying critical judgement to ensure responsible and ethical use of data and AI outputs.\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. 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