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FINANCE DATA ENGINEER FINANCE / DATA & ANALYTICS As our Finance Data Engineer, you will play a critical role in building a trusted, high‑quality Finance data ecosystem that enables analytics, reporting, and AI‑driven decision‑making, helping Finance teams rely on a single, governed source of truth. THE ROLE OPTIMIZE, ENABLE, INNOVATE! As our Finance Data Engineer , you are responsible for designing and maintaining high‑quality, SOX‑compliant Finance data assets within Coty’s Data Cloud. You will engineer scalable semantic models, ensure data accuracy and reconciliation, and partner closely with Finance, Reporting, and IT teams to deliver trusted, audit‑ready data for global decision‑making. YOUR MAIN RESPONSIBILITIES 1. Data Quality Ownership & Governance Build and operate a robust Finance data quality framework across the data cloud Define and implement validation, anomaly detection, reconciliations, and monitoring controls Partner with Finance SMEs to define data standards, business rules, and master data Lead root‑cause analysis and remediation of data quality issues Ensure Finance data pipelines meet SOX, compliance, and audit requirements 2. Semantic Model Development (Databricks & Power BI) Design, build, and maintain scalable semantic models for reporting and analytics Create optimized curated Finance layers, Delta tables, and datasets in Databricks Engineer robust dimensional and star‑schema models aligned to Finance processes Collaborate with Finance analysts to ensure usability, documentation, and business alignment Implement role‑based security, lineage, and data catalog integration 3. Data Reconciliation & SOX Compliance Reconcile data between the Data Cloud, ERP systems, and official financial results Build automated reconciliation checks across transformation layers Document and maintain SOX 302 & 404 data controls Support internal and external audits with evidence, lineage, and control walkthroughs 4. Data Pipeline Engineering Develop, maintain, and optimize ingestion pipelines using Databricks Ensure pipelines are scalable, performant, and aligned with engineering best practices Monitor pipeline health, troubleshoot issues, and drive enhancements Partner with IT and platform teams to ensure high availability of Finance data assets 5. Cross‑Functional Collaboration Work closely with FP&A, Commercial Finance, Supply Chain Finance, and Controlling teams Translate reporting and analytical requirements into technical data solutions Partner with Data Governance, Security, and Platform teams on standards and architecture Enable self‑service analytics through certified, high‑quality datasets YOU ARE A COTY FIT As a data‑driven and detail‑oriented engineer, you thrive at the intersection of Finance, data, and technology. Your skills and experience include: Bachelor’s or Master’s degree in Data Engineering, Computer Science, Finance, or related field Experience in data engineering, ideally within Finance or regulated environments Strong hands‑on experience with Databricks, SQL, Delta Lake, and Lakehouse architecture Proficiency in Power BI semantic models (tabular models, DAX, modeling best practices) Understanding of Finance processes (GL, FP&A, actuals, budgets, forecasts) Experience with data quality frameworks, reconciliations, and lineage documentation Knowledge of SOX controls, audit requirements, and compliance‑driven data management Strong analytical mindset and proactive, problem‑solving attitude Nice to have: Experience in enterprise‑scale Data & AI platforms Exposure to MDM, data cataloguing, and governance tooling ERP knowledge (SAP, Oracle, consolidation systems) Python for automation and testing Experience supporting Finance transformation or GBS environments WHAT WE OFFER This role offers the opportunity to shape Finance’s data foundation from the ground up. Key role in building Finance’s single source of truth High visibility and collaboration with global Finance and IT stakeholders Exposure to modern data, analytics, and AI technologies International, transformation‑driven environment Hybrid working model and flexible ways of working ABOUT US Our people make us who we are. At Coty, we celebrate diversity, fearless kindness, and bold thinking—creating an inclusive workplace where everyone can be their authentic self.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.