As a Data Analytics Specialist you’ll play a meaningful role in Market Platforms Product & Software Engineering (MP P&SE) Data Analytics Team. Advancing our lakehouse platforms and product team experience for data analytics. We pair industry-standard tools (Databricks, Jira, SonarQube, Git/Jenkins) with in-house services that give Nasdaq teams outstanding analytical leverage.

You’ll thrive in this position if you experiment with new capabilities and push the boundaries of modern data engineering and analytics delivery, have a global mindset, and bring a passion for technology and innovation to a fast-paced, high-impact environment.

Key Responsibilities

• Compose, build, and operate ELT pipelines on Databricks (Spark/SQL/PySpark) across bronze/silver/gold layers; implement data quality, lineage, and governance

• Build full-stack applications and APIs that manage golden data sources and enable control, process and integration into core metrics.

• Develop and optimize SQL for analytical models and dimensional/semantic layers; profile and tune queries/jobs for cost and performance

• Engineer AWS data services (EC2, RDS) - provision infrastructure with Terraform and automate environment setup

• Implement CI/CD for data and app artifacts using Git - apply Git-based workflows, code review, testing, and automated deployments

• Partner with product, platform, and domain teams to migrate on-prem data workloads to cloud-native patterns and to modernize legacy ETL to lakehouse standards

• Utilise PowerBI to generate standardised Global reporting to provide clear analytical business insights to enable leadership to make data-driven decisions

Required Qualifications

• Proficiency in Python, Java - ability to write clean, testable code for both data pipelines and applications

• Proven experience in Data Analytics / Data Engineering roles, with production exposure to AWS (preferred) or other major clouds

• Strong database fundamentals (SQL design, query optimization, indexing), and practical experience with one or more RDBMS and data warehousing concepts

• Hands-on with Databricks (Spark, Delta Lake, SQL, notebooks/jobs) and ETL/ELT patterns; familiarity with orchestration tools (e.g., Airflow or managed alternatives)

• Familiarity with Infrastructure as Code (Terraform) and containerization (Docker); understanding of DevOps practices for data and apps (CI/CD, versioning, testing)

• Continuous learner with a passion for data engineering, analytics platforms, and building delightful developer & stakeholder experiences

We’re looking to fill three positions for this role. Don’t hesitate to apply - even if you’re a recent graduate - if you’re motivated and excited to join our team!

This position will be 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 that supports you and your family - inside and outside work.

The base pay range for this role is 2400 – 2900 EUR gross. Actual pay depends on your skills, experience, education, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable, as well as the following benefits:

• Annual bonus

• Annual equity grant

• Employee Stock Purchase Plan offering discounted company shares

• Pension plan with Nasdaq contribution

• 6 additional days off per year

• Extra vacation time based on tenure

• Work from (almost) anywhere – up to 20 days/year

• Paid time off to volunteer

• Health insurance

• Free gym, yoga & pilates classes and discounted in-office massages

• 24/7 mental health support for you and your family

• Global mentoring program

• Unlimited access to e-learning platforms

• Hybrid work setup

• Modern and comfortable work environment with fresh fruit, snacks, and weekly Fika breaks

For more information, visit Nasdaq Benefits & Rewards Career Page.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.