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As a Senior Data Engineer reporting to AVP - Product Strategy, you'll play a critical role in strengthening Nasdaq's Global Connectivity Services (GCS) data capabilities — improving data quality, building scalable pipelines, and enabling better commercial and operational decision-making across teams in New York, Stockholm, and Vilnius. You'll thrive in this role if you're analytical, self-driven, and passionate about turning complex data into actionable insight in a fast-paced, globally connected environment. Key Responsibilities Build, maintain, and improve data pipelines, models, and datasets that support GCS reporting, billing reconciliation, and operational planning. Analyze customer behavior, product usage, and service trends to deliver insights that drive commercial opportunities for Sales and Product teams. Lead billing and inventory reconciliation across multiple internal and external data sources, including discrepancy reporting and alerting. Create trusted, well-governed data foundations that enable advanced analytics, automation, and future AI-driven use cases. Collaborate with Product, Sales, Finance, and Data Center Operations to translate business needs into scalable, practical data solutions. Required Qualifications Bachelor's degree in Computer Science, Business, or a related field, or equivalent practical experience. Proven experience in data engineering, analytics engineering, or a similar data-focused role. Strong SQL skills with experience building structured data transformations and automated workflows. Hands-on experience with modern data and analytics tools such as dbt, QuickSight, Power BI, or similar platforms. Experience working with data from multiple systems and reconciling inconsistent or incomplete data sources. Clear communicator with the ability to work effectively with both technical and non-technical stakeholders across time zones. Preferred Qualifications Experience with AWS-based data platforms and related tooling. Background in billing, inventory, compliance, or operational control processes. Exposure to AI, automation, or data foundation work supporting future AI use cases. This position is located in Vilnius and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Benefits & Rewards We offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families (where applicable). The base pay for this role is 4000– 5000 EUR (gross). The actual pay depends on factors like your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable. We utilize a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. The pay range you see reflects the full salary band for this job level, including room for progression over time. For more information, visit Nasdaq Benefits & Rewards Career Page. Individuals applying for or occupying this position must have no previous unspent convictions for criminal offences under the Criminal Code of the Republic of Lithuania, with the exception of offences solely related to minor road traffic violations. Come as You Are Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process. At Nasdaq, we’re proud to be the engine behind the world’s capital markets. But we don’t stop there. We build the technology that drives transparency, trust, and access—helping economies grow and people thrive. Our purpose is to advance economic progress for all. Whether you’re a client, a colleague, or part of our broader community, we’re here to move markets—and possibilities—forward. Join our Talent Community to stay in the loop on upcoming roles, events, and new opportunities across Nasdaq. Our hybrid work model, NasdaqBlend, gives you flexibility to do your best work—whether that’s from home, in the office, or a mix of both. Check the job listing or reach out to our team for role-specific details. We’re a global team of over 8,500 innovators across 38 countries, united by a shared purpose: advancing economic progress for all. It’s not just what we do—it’s how we do it, together. Want a deeper look into our culture? Explore our Culture Book. We support your success through You&Q, our total rewards program that covers every dimension of life—from building wealth and growing your career to prioritizing well-being and family care. Join the Team Advancing Economic Progress for All. 
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Nasdaq
Vilnius, Lithuania
Senior Data Engineer.
SENIOR LEVELDATA & ML
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