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DE-RCE-Risk Data Engineer Sr-GDSN02 At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Career Family : FinCrime Data Engineer Role Type : Full Time The opportunity We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Risk and Compliance Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Risk Management, Asset management, Banking and Capital Markets, Insurance and Private Equity we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. Thats how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. Were looking for a Data Engineer at EY GDS. You will work on designing and implementing scalable data pipelines and solutions using modern data platforms such as Databricks or Snowflake. You will collaborate with cross-functional teams to build, deploy, and manage data workflows that meet business needs and leverage best practices in data engineering and cloud technologies. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. We are the only professional services organization who has a separate business dedicated exclusively to the financial and non-financial services marketplace. Join Digital Engineering team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. EY Risk and Compliance Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Risk and Compliance Engineering (RCE) practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EYs RCE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations. Your key responsibilities Data Pipeline Development : Design, develop, and optimize data pipelines for large-scale structured and unstructured datasets. Data Handling : Work with SQL for data extraction, transformation, and analysis. ETL Workflows : Develop and maintain ETL workflows using PySpark or equivalent technologies. Platform Implementation: Implement scalable solutions on Databricks or Snowflake environments. Collaboration : Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data products. Data Quality and Compliance : Ensure data quality, reliability, and compliance with regulatory standards. Domain-Specific Solutions : Contribute to domain-specific solutions for AML, fraud detection, and risk analytics. Skills and attributes for success Required Skills: 4+ years of experience in data engineering, working with ETL pipelines, SQL, and modern data platforms Domain Knowledge: Experience in any 1 or more of these areas AML (Anti Money Laundering) Modelling OR Sanctions screening OR Fraud OR Financial Crime OR Trade Surveillance PySpark / Scala Expertise : Hands-on experience with PySpark for data processing and working knowledge of Scala. SAS Compliance Packages: Hands-on experience working with SAS Compliance Solutions (AML, FCC, KYC, or Fraud) for data ingestion, data model understanding, or rule execution workflows. Modern Data Platforms: Experience working on Databricks Snowflake SQL and ETL Development: Strong skills in SQL, data handling, and ETL pipeline development for structured and unstructured data. Performance Optimization : Experience with performance optimization and handling large-scale datasets .
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.