Senior Data Engineer – Kazakhstan (Remote)
About the Role
We're growing our technology footprint in Kazakhstan and looking for a Senior Data Engineer to join our expanding regional team. You'll design, build, and deliver modern data solutions that power our operations across Eurasia and support global business initiatives.
You'll work with a modern data stack — Azure, Databricks, Python, Scala, Spark — and collaborate daily with international engineering teams on large-scale, high-impact data platforms. As a senior member of the team, you'll bring technical leadership, mentor others, and help shape best practices. The role is fully remote, open to candidates anywhere in Kazakhstan.
This is a hands-on senior data engineering role focused on building robust, scalable data pipelines and platforms. It does not include user support or helpdesk responsibilities.
What You'll Do
- Design and develop complex data solutions that meet defined functional and technical requirements.
- Architect, build, and maintain data pipelines on Azure and Databricks, supporting both batch and large-scale processing workloads.
- Lead the migration of regional data systems to global Azure-based platforms.
- Troubleshoot and optimize complex data workflows, improve performance, and maintain clean, sustainable code.
- Define and apply advanced data quality and testing standards across the team.
- Review code, refactor legacy modules, and optimize SQL and cloud-based queries.
- Lead medium-to-large scale data engineering initiatives within the team.
- Mentor and onboard new engineers, and actively contribute to knowledge sharing and technical guidance.
What We're Looking For
Education
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
Must-Have Technical Skills
Programming
- Python (primary language) — strong, production-level proficiency
- Scala (Spark-level proficiency)
Cloud & Big Data
- Microsoft Azure
- Azure Databricks — clusters, jobs, SQL warehouses, environments, and cost monitoring
- Apache Spark for large-scale data processing
Databases
- MS SQL or equivalent relational database experience
- Strong SQL skills for data transformation and query optimization
Experience & Languages
- 5+ years of hands-on commercial data engineering experience, including a track record of delivering production-grade data solutions.
- Proven, real-world experience with Azure + Databricks in previous senior roles.
- Experience mentoring engineers and leading technical initiatives.
- Fluent English — required for daily interaction with global teams.
What We Offer
- A chance to join a fast-growing Kazakhstan hub delivering on global initiatives.
- Work with modern cloud technologies and scalable data platforms.
- Fully remote role, open to candidates from any region in Kazakhstan.
- Collaborative culture with access to global expertise, training, and technical mentorship.
- Competitive compensation aligned with the local market.
About the Team
Our data engineering team supports production systems across the CIS and Eurasia region and is now fully transitioning to global Azure-based components. You'll join a technically strong, internationally connected team building data solutions used around the world.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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