{"id":3072497,"url":"https://alion.io/job/jpmorganchase-lead-data-engineer-python-databricks-react","title":"Lead Data Engineer - Python, Databricks, React","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":92,"open_postings":1083,"ghost_share":0.007,"stale_share":0.477,"repost_share":0.061,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"LLMOps","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-08-20T15:18:06Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-24T01:39:44Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"Join us as a Lead Data Engineer and help shape the future of data-driven innovation at JPMorganChase. You will collaborate with talented colleagues to deliver impactful solutions that power AI and analytics initiatives across the firm. We value your expertise, encourage growth, and support your journey to make a lasting impact. Experience a culture that celebrates diverse perspectives and fosters continuous learning.\nJob Summary:\nAs a Lead Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical data pipelines and architectures across multiple technical areas, supporting the firm’s business objectives. Your work will drive innovation, operational excellence, and team success, contributing to a collaborative culture that values your ideas and technical leadership.\nJob Responsibilities:\nMake data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery\nCollaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of \"AI for Data\"\nDrive adoption of AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate delivery and improve developer productivity\nPartner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches\nImplement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards\nProvide transparency and drive executive visibility into bottlenecks, progress, performance metrics, and adoption tracking in making AI-ready and critical data sources available for innovation\nIdentify the lineage and provenance of critical data assets to support governance, regulatory, and business requirements; embed evergreen controls on data flows to improve safety, transparency, and traceability\nDrive insight into areas of efficiency and risk through consolidation and reengineering of data flows\nLead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, then fix the cause and embed uplifted evergreen controls to prevent future failures\nDevelop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience and driving operational efficiency\nDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data product prototypes\nUses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements\nApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations\nRequired Qualifications, Capabilities, and Skills:\nFormal training or certification on software engineering concepts and applied experience\nExperience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g., CLO, CMBS, RMBS, ABS)\nProven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflows\nExperience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs\nStrong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)\nUnderstanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing\nExcellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadership\nExperience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls\nDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity\nAbility to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements\nHands-on practical experience delivering system design, application development, testing, and operational stability\nPreferred Qualifications, Capabilities, and Skills:\nHands-on experience with data lineage tools and techniques, including graph & vector databases and metadata management platforms\nHands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale\nFamiliarity with business-led analytics delivery models and rapid prototyping frameworks\nExperience with AI/ML governance, prompt engineering, and integrating AI tools into SDLC\nExperience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment)\nUnderstanding of agile and product management methodologies and experience working in agile teams\nAbility to multi-task in a fast-paced environment and operate independently with minimal supervision; strong judgment with the ability to balance strategic vision with pragmatic, incremental delivery\nExperience building and growing capabilities and developing talent in data science or data management teams\nExcellent interpersonal skills and ability to build strong working relationships with business, technology, and control stakeholders across global teams","description_format":"text","description_chars":6279,"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"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-22T09:52:14Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.271,"p_room":0.28,"age_days":63,"expected_fill_days":9,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-lead-data-engineer-python-databricks-react","json_url":"https://alion.io/job/jpmorganchase-lead-data-engineer-python-databricks-react.json","meta":{"generated_at":"2026-10-24T02:09:46Z","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":3535,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":257},"rest":"https://alion.io/mcp/rest/get_company?id=257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjpmorganchase-lead-data-engineer-python-databricks-react"},{"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%2Fjpmorganchase-lead-data-engineer-python-databricks-react"},{"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%2Fjpmorganchase-lead-data-engineer-python-databricks-react"},{"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/jpmorganchase-lead-data-engineer-python-databricks-react\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjpmorganchase-lead-data-engineer-python-databricks-react"}]}