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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building scalable Data Hubs supporting analytics, operational processes, and Generative AI. Key technologies include Python, SQL, Databricks, Apache Spark, and a broad Azure stack (Data Factory, ADLS, Synapse, Event Hubs). Responsibilities cover architecture design, development of batch and real-time pipelines, implementing CI/CD automation, ensuring data quality, and mentoring engineers. The experienced engineer is accountable for standards maintenance and data security.
from: 22 June 2026
to: 22 July 2026
180 - 200 złnet (+ VAT)/ hr.B2B contract (full-time)
Offer parameters
level:senior
working mode:remote
Warszawa, Wola
Requirements
Expected technologies
Python
SQL
Apache Spark
Terraform
Docker
Kubernetes
Our requirements
- Strong expertise in Python and SQL
- Hands-on experience with Databricks (primary tool) and Apache Spark
- Solid knowledge of the Azure data ecosystem, including Data Factory, ADLS, Synapse, Azure SQL, and Event Hubs
- Experience with real-time data processing and streaming architectures
- Proficiency in DevOps practices, including CI/CD, Terraform, Docker, and Kubernetes/AKS
- Experience in mentoring engineers and driving technical standards
- Strong communication and documentation skills
- English proficiency at B2 level or higher
Your responsibilities
- Design and implement scalable Data Hubs that integrate multiple data sources
- Define architecture standards, best practices, and engineering patterns
- Provide technical leadership, mentor engineers, and conduct code reviews
- Develop and maintain batch and real-time data pipelines
- Ensure data quality through validation frameworks, monitoring, and anomaly detection
- Implement automation and CI/CD pipelines to streamline delivery
- Ensure data security, governance, and compliance with relevant standards
- Create and maintain clear, structured technical documentation
About the project
We are looking for a Senior Data Engineer who is passionate about building scalable, high-impact data solutions. In this role, you will design and deliver modern Data Hubs that support analytics, operational processes, reporting, and Generative AI use cases. You will also play a key role in shaping architecture, defining best practices, and mentoring engineers to ensure high-quality delivery across the data landscape.
Technology Stack
- Core tools: Databricks, Apache Spark, Delta Lake
- Azure services: Data Factory, ADLS, Synapse, Azure SQL, Azure DevOps, Event Hubs
- Development and automation: Python, SQL, GitHub, Terraform, Docker, Kubernetes/AKS
This role offers the opportunity to influence data strategy, shape architecture, and mentor a growing team while delivering impactful and future-ready data solutions.
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- dental care
- cafeteria benefits
COGNIZANT
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
This is how we work
Senior Data Engineer
180–200 zł / hr. (B2B)
I apply to:
COGNIZANT
Warszawa, Wola
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