{"id":1967452,"url":"https://alion.io/job/betsol-data-engineer-financial-analytics-fpa","title":"Data Engineer – Financial Analytics (FP&A)","company":{"id":693857,"name":"BETSOL","domain":"betsol.com","url":"https://alion.io/company/betsol","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Sheets","optional":false},{"name":"Looker","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"LookML","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-06T17:39:48Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-12T04:43:59Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Engineering the AI-powered enterprise. With AI and cloud-native solutions, BETSOL accelerates cloud transformation for enterprises across 17+ countries. BETSOL holds several engineering patents, and is recognized with industry awards. BETSOL maintains a net promoter score that is 2x the industry average.\nBETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and delivers best-in-class performance.\nBETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for customers.\nWe take pride in being an employee-centric organization, offering comprehensive benefits and opportunities.\nLearn more at betsol.com\n About the Role\nWe are hiring a mid-level Data Engineer to build the financial data foundation behind executive reporting, working directly with the Head of FP&A on Google BigQuery. This role turns scattered financial and operational data into a single, trusted reporting model that leadership uses to run the business. You will act as the technical partner to the Head of FP&A, translating planning, forecasting and performance questions into well-designed data models and repeatable metrics. You will own the path from source systems to executive dashboards: gathering data from ERP, CRM, billing, HR and spreadsheet sources, modeling it in BigQuery, and delivering metrics such as revenue, gross margin, operating expense, budget-versus-actual variance and cash position. The aim is to reduce manual spreadsheet effort in monthly close and planning cycles, and to give leadership faster, consistent answers.\nResponsibilities\nPartnering with FP&A\nWork day to day with the Head of FP&A to understand reporting needs across budgeting, forecasting, month-end close and board reporting.\nTranslate business questions into data requirements, metric definitions and model designs, and document them clearly.\nSupport planning cycles with timely, reconciled data and ad hoc analysis for leadership requests.\nData integration and transformation\nGather data from multiple sources such as ERP, CRM, billing, payroll/HR systems, bank feeds and Excel or Google Sheets workbooks.\nBuild and maintain ELT pipelines into BigQuery, using SQL, scheduled queries and orchestration tools (for example Dataform, dbt or Cloud Composer).\nCleanse, standardize and reconcile data, including chart-of-accounts mapping, currency conversion and intercompany eliminations.\nMultidimensional data modeling\nDesign star and snowflake schemas with conformed dimensions (time, entity, account, cost center, product, customer, region) and well-defined fact tables.\nHandle slowly changing dimensions, account hierarchies, fiscal calendars and actuals-versus-budget-versus-forecast scenarios.\nOptimize BigQuery models for cost and performance through partitioning, clustering and materialized views.\nFinancial metrics and reporting\nBuild a governed semantic layer of financial KPIs: revenue, ARR/MRR where relevant, gross margin, EBITDA, OpEx by function, headcount cost, cash flow and variance analysis.\nDeliver reporting models that feed executive dashboards in Looker, Looker Studio, Power BI or Connected Sheets.\nProduce Excel-ready outputs and pivot-friendly extracts for finance users who work in spreadsheets.\nData quality and governance\nImplement reconciliation checks between source systems, the general ledger and reported figures.\nApply access controls appropriate to sensitive financial data and maintain a data dictionary for every published metric.\nMonitor pipeline health and resolve data issues before they reach leadership reports.\nLooking For\n4-8 years of experience in Data Engineering or Analytics Engineering.\nMinimum 2 years of hands-on experience working with Google BigQuery \nStrong experience building data pipelines, dimensional data models, and financial reporting solutions.\nExperience working with finance, FP&A, or business analytics teams.\nStrong understanding of financial reporting concepts such as P&L, Balance Sheet, Cash Flow, Budget vs Actuals, and Forecast Variance analysis. \nMandatory Skills\nTechnical Skills\nExpert SQL: complex joins, window functions, CTEs, aggregations, query tuning and BigQuery-specific features (partitioning, clustering, nested and repeated fields, scheduled queries).\nProven experience designing multidimensional (dimensional) data models using Kimball methodology: facts, dimensions, hierarchies and slowly changing dimensions.\nAdvanced Excel: Power Query, pivot tables, XLOOKUP/INDEX-MATCH, dynamic arrays and building finance-ready reporting templates.\nHands-on experience integrating data from at least three types of source systems (for example ERP, CRM, flat files, APIs).\nWorking knowledge of financial statements and FP&A concepts: P&L, balance sheet, cash flow, chart of accounts, budget-versus-actual and forecast variance.\nExperience with at least one BI tool such as Looker, Looker Studio or Power BI.\nClear communicator who can explain data logic to finance leaders and document metric definitions precisely.\nSoft Skills\nStrong analytical and problem-solving skills\nAbility to work directly with senior finance stakeholders\nClear communicator who can explain data logic to finance leaders and document metric definitions precisely.\nStakeholder management and business partnering capability\nAbility to translate business requirements into technical solutions\nGood to Have Skills\nExperience with dbt or Dataform for version-controlled, tested SQL transformations.\nFamiliarity with LookML or a comparable semantic modeling layer.\nExposure to ERP finance modules (for example NetSuite, SAP, Oracle or Microsoft Dynamics) and planning tools (for example Anaplan, Adaptive Planning or Pigment).\nPython for data processing, API ingestion or automation.\nExperience with Git, CI/CD and Google Cloud services such as Cloud Storage, Cloud Functions and Cloud Composer.\nGoogle Cloud Professional Data Engineer certification.\nPrior work in a SaaS, IT services or multi-entity, multi-currency business\n Bachelor's degree in Computer Science, Information Systems, Engineering, Finance, Statistics or a related field\n UK business hours with overlap till 1 pm 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