{"id":2632164,"url":"https://alion.io/job/equiti-group-forward-deployed-data-specialist","title":"Forward Deployed Data Specialist","company":{"id":434,"name":"Equiti Group","domain":"equiti.com","url":"https://alion.io/company/equiti-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T16:31:10Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T23:09:14Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Equiti is a pioneering fintech firm and world-class provider of multi-asset fintech products - from liquidity solutions to in-house tech hubs to online trading platforms. With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa.\nAt Equiti, we believe that financial opportunities can unlock potential for everyone, everywhere. We’re on a mission to deliver accessible online trading products around the world through education and accessibility.\nThink finance is stuffy? Think again.\n\"At Equiti, we’re building fintech with a purpose: making wealth tools accessible to everyone. As we continue to grow, we’re seeking talented individuals who thrive in innovative environments. , and we are on the lookout for talented individuals who can perform and excel in a dynamic and innovative working environment. Our Data department would like to welcome a detail-oriented.\nForward Deployed Data Specialist in our office in Bengaluru\nThe Forward Deployed Data Lead acts as the single point of accountability and conduit between the Business, Product, Data Engineering, and Data Analytics functions for a dedicated business line (e.g. CFDs, Cash Equities, Wealth). Operating at the intersection of business context and technical delivery, the role translates trading, wealth, and brokerage business needs into well-formed data requirements, and then drives their end-to-end delivery as data products - spanning data engineering, modelling, and analytics - by orchestrating the extended data engineering and analytics team. The Forward Deployed Data Lead is expected to be a hands-on technologist as well as a trusted business partner, capable of sitting in a requirements conversation.\nResponsibilities\nBusiness & Requirements Partnership\nAct as the dedicated data lead for a specific business line (CFD, Cash Equities, Wealth, or similar), building deep functional knowledge of that line's products, trade lifecycle, client journeys, and regulatory/reporting needs.\nServe as the primary conduit between Business, Product, Data Engineering, and Data Analytics teams - ensuring no requirement is lost in translation between commercial intent and technical build.\nProactively engage business stakeholders (trading desks, RMs, product managers, risk/compliance where relevant) to capture new and evolving data requirements as they arise.\nFormalize requirements into clear, structured artifacts (business requirement documents, user stories, data contracts, source-to-target mappings) that both engineering and analytics teams can execute against.\nPrioritize and sequence requirements in partnership with Product and Business, balancing quick wins against long-term data platform integrity.\nDelivery Ownership (Engineering + Analytics)\nOwn end-to-end delivery of formalized requirements - from data source identification and ingestion, through modelling and transformation, to analytics consumption (dashboards, self-serve datasets, AI-ready data marts).\nDesign the target data model and pipeline architecture and work hands-on with data engineers to build/validate ingestion (batch and streaming) and transformation logic.\nPartner with data analysts to design analytics use cases, metrics definitions, and semantic layers that are accurate, reusable, and aligned to business language. \nReview code, data models, and dashboards produced by the extended team to ensure quality, performance, and consistency with platform standards.\nManage delivery timelines, risks, and dependencies for the business line's data roadmap, escalating proactively where needed.\nGovernance, Coordination & Cadence\nCoordinate daily with the Head of Data Platform and Head of Data Analytics on design decisions, delivery status, and resourcing for the business line.\nEnsure designs align with the firm's broader data architecture, governance standards, data quality frameworks, and security/compliance requirements (critical in a regulated brokerage environment).\nMaintain a live backlog and roadmap for the business line's data requirements, visible to both business and data leadership.\nRepresent the business line in data platform forums, ensuring the line's priorities are reflected in broader platform planning.\nAd-hoc & Business-as-Usual Support\nRemain available to respond to ad-hoc business requests - urgent data pulls, one-off analyses, regulatory or client queries, incident troubleshooting - for the assigned business line(s).\nTriage ad-hoc asks against the planned roadmap, deciding what can be absorbed by the extended team versus handled directly.\nAct as an escalation point when data issues (quality, latency, discrepancies) impact business operations or reporting for the line.\nHands-on Technical Execution\nDesign and, where needed, personally build data pipelines and models on the Azure data stack (Data Lake, Data Factory, Event Hubs, Databricks).\nBuild and review Power BI datasets, semantic models, and reports/dashboards, ensuring performance, row-level security, and a single source of truth for business metrics.\nSet data modelling standards (dimensional modelling, medallion architecture, naming conventions) for the business line and ensure the extended team adheres to them.\nExperience Requirements\nTechnical\nStrong hands-on experience with the Azure data ecosystem: Azure Data Lake Storage, Azure Data Factory, Azure Event Hubs, and Azure Databricks (Spark/PySpark, Delta Lake, notebooks, job orchestration).\nProven experience in data engineering design and modelling - dimensional modelling, medallion/lakehouse architecture, batch and streaming pipeline design, data quality and lineage practices.\nStrong hands-on experience with Power BI - data modelling (star schemas), DAX, report/dashboard design, workspace and security (RLS) management, and performance tuning.\nWorking knowledge of SQL and at least one programming language commonly used in data engineering (Python/PySpark preferred).\nFamiliarity with CI/CD for data pipelines, version control (Git), and basic DevOps practices for data platforms is a strong plus.\nAnalytics & Business Use-Case Design\nGood grounding in building analytics use cases - from defining business metrics and KPIs to designing self-serve reporting and analytical marts.\nAbility to translate ambiguous business asks into well-scoped, testable analytics deliverables.\nExposure to advanced analytics concepts (forecasting, segmentation, risk/exposure analytics) is an advantage, particularly for CFD/trading-related lines.\nDomain / Brokerage Industry Knowledge (preferred)\nUnderstanding of brokerage business lines such as CFDs, Cash Equities, and Wealth/Investment Management - trade lifecycle, order/execution data, positions and P&L, client onboarding and KYC, portfolio and holdings data.\nAwareness of relevant regulatory and reporting considerations in brokerage/capital markets (e.g. trade/transaction reporting, client reporting, audit trails) and their implications for data design.\nPrior experience working in or with fintech, brokerage, asset management, or capital markets data teams is highly valued.\nStakeholder & Delivery Skills\nStrong stakeholder management and communication skills - comfortable presenting to both business heads and technical leadership.\nExperience formalizing requirements (BRDs, user stories, data contracts) and running delivery in an agile or hybrid delivery model.\nDemonstrated ability to operate autonomously as an embedded “forward deployed” resource, balancing business proximity with technical rigor.\nTypically 7-12+ years of experience spanning data engineering and/or analytics roles, with at least a few years in a lead, tech lead, or forward-deployed/embedded capacity.\nPerks\nEach of our offices has its special perks; be it ‘no ties’, free lunches, charity events, or a hybrid work policy - but whenever you walk into an Equiti office, you’re sure to see a friendly face. We encourage international collaborations and always keep our eyes open to how we can do more.\nThe benefits you can expect at your Equiti workplace include:\nCompetitive salary package \nPerformance-based bonus \nMedical insurance coverage for employees and family members \nSmart working options \nEmployee wellness initiatives \nPersonalized career development \nCompany lunch in the office \nRegular company events \nWith energy, drive, and imagination, there’s no limit to where your career can go at Equiti. With a diverse workforce and geographical spread of offices, we strongly support career development initiatives as well as provide a range of opportunities for professional and life experiences.\nEquiti is an equal opportunity employer.\n“Equiti” refers to a group of companies consisting of seven regulated financial services companies licensed to operate in the respective jurisdictions of their incorporation, in addition to our tech and marketing hubs. Equiti has presence in Africa, Europe, and the Middle East.","description_format":"text","description_chars":8996,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Company events","Health insurance","Hybrid work","Insurance coverage"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Online Brokerage & Trading Platforms","Forex & CFD Brokers"],"lifecycle":[{"event":"open","at":"2026-10-15T16:31:10Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["conf:1","win:early"],"computed_at":"2026-10-16T00:35:53Z"},"pay":null,"html_url":"https://alion.io/job/equiti-group-forward-deployed-data-specialist","json_url":"https://alion.io/job/equiti-group-forward-deployed-data-specialist.json","meta":{"generated_at":"2026-10-16T00:35:53Z","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":1104,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":434},"rest":"https://alion.io/mcp/rest/get_company?id=434"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fequiti-group-forward-deployed-data-specialist"},{"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%2Fequiti-group-forward-deployed-data-specialist"},{"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%2Fequiti-group-forward-deployed-data-specialist"},{"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/equiti-group-forward-deployed-data-specialist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fequiti-group-forward-deployed-data-specialist"}]}