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Company Overview : Wissen Technology is a specialized technology services firm providing high-end consulting and software development solutions to the world's largest investment banks, hedge funds, and financial institutions. Headquartered in Bangalore, the company focuses on building complex, scalable enterprise applications and data platforms that power global financial markets. Wissen is recognized for its deep domain expertise in financial services and its commitment to engineering excellence, operating at the intersection of sophisticated financial engineering and modern data architecture. Role Overview : As a Data Engineer specializing in Anti-Money Laundering (AML) systems, you will be responsible for architecting and maintaining robust data pipelines that drive critical financial crime detection and regulatory reporting. You will collaborate closely with quantitative analysts, compliance officers, and global stakeholders to transform raw transactional data into actionable intelligence. Your work directly impacts the firms ability to identify suspicious activities, ensuring the integrity of financial systems and maintaining rigorous adherence to global regulatory standards. Key Responsibilities : Design and implement scalable ETL/ELT pipelines to process high-volume transactional data for AML monitoring and reporting systems.Optimize data models and database schemas to improve the performance of complex surveillance queries and real-time monitoring tools.Collaborate with compliance teams to translate regulatory requirements into technical data specifications and automated detection logic.Develop and maintain data quality frameworks to ensure the accuracy, completeness, and consistency of financial data across the enterprise.Automate data ingestion and transformation processes to reduce manual intervention and improve the latency of financial crime alerts.Partner with cross-functional engineering teams to integrate data solutions into existing financial platforms while maintaining strict security and audit protocols. Required Skillset : Demonstrated expertise in building distributed data systems using Big Data technologies such as Spark, Hadoop, or cloud-native data platforms.Advanced proficiency in SQL and Python for complex data manipulation, performance tuning, and automation of data workflows.Proven ability to design data architectures that support AML/KYC compliance, including experience with transaction monitoring systems and regulatory reporting.Strong analytical mindset with the ability to communicate complex technical concepts to non-technical stakeholders and compliance partners.Experience working in an agile, collaborative environment, demonstrating the ability to manage multiple priorities in a fast-paced financial services setting.A Bachelors or Masters degree in Computer Science, Engineering, or a related quantitative field.Ability to work effectively in a hybrid model at our Bangalore office, fostering strong team cohesion and professional growth.7 - 12 years of professional experience in data engineering, with a specific focus on financial services or regulatory technology. .
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.