Senior Data engineer

Grid Dynamics; Wrocław; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Medical insurance

Flexible schedule

Professional development

Well-equipped office

Job summary

Grid Dynamics is seeking a Senior Data Engineer to help modernize and unify the global data ecosystem. You will architect and deliver a next-generation Data Platform leveraging Databricks on AWS, Medallion Architecture, and ClickHouse for low-latency analytics.

The role combines hands-on development with end-to-end delivery ownership, data quality, and automated testing practices. You will collaborate with client stakeholders and the Grid Dynamics squad to refine backlog items, translate

Qualifications

• 5+ years of data engineering experience building enterprise data platforms.
• Strong hands-on experience with Databricks, Spark/PySpark, Python, and SQL.
• Experience designing data models using Medallion Architecture (Bronze/Silver/Gold).
• Experience implementing high-volume, low-latency analytics with ClickHouse.
• Solid automated testing expertise (unit/integration/data quality).

Responsibilities

• Design and build production-grade data pipelines and components using Databricks on AWS.
• Implement scalable data models based on Medallion Architecture.
• Architect and optimize low-latency analytics with ClickHouse.
• Build automated testing frameworks for data pipelines.
• Collaborate with client stakeholders and team leads to refine backlog and requirements.
• Conduct design and code reviews to ensure reliability and standards.
• Maintain a legacy Hadoop/Kafka reporting platform during transition.

Skills

Databricks

Spark/PySpark

Python

SQL

Medallion Architecture

Automated testing

Backlog refinement

Tools

ClickHouse

Kafka

AWS

Hadoop

Job description

We are seeking a Senior Data Engineer to join a high-impact engineering initiative aimed at modernizing and unifying the global data ecosystem for a premier, global leader in digital payment acceptance solutions. In this role, you will play a key technical role within a dedicated Grid Dynamics squad, focusing on architecting and delivering a next-generation Data Platform leveraging Databricks on AWS, Medallion Architecture, and ClickHouse for low-latency analytics. You will combine strong hands-on development with end-to-end delivery ownership-driving data quality, establishing robust automated testing practices, and translating business requirements into scalable engineering solutions.

Responsibilities

• Design and build production-grade data pipelines and data platform components using Databricks on AWS, PySpark, Python, and SQL.
• Implement scalable Data Models based on the Medallion Architecture framework (Bronze, Silver, and Gold layers).
• Architect and optimize low-latency, real-time analytics data paths using ClickHouse.
• Drive engineering quality across the delivery process by building automated unit, integration, and data quality testing frameworks without relying on dedicated QA resources.
• Collaborate directly with client stakeholders and team leadership to refine backlog items, clarify requirements, and run technical discussions.
• Conduct design and code reviews to enforce system reliability, maintainability, and architectural standards.
• Provide pragmatic support and maintenance for a legacy Hadoop/Kafka reporting platform (~10% effort split) while supporting the strategic shift to the new platform.

Requirements

• 5+ years of commercial data engineering experience building, scaling, and maintaining enterprise data platforms.
• Strong hands-on experience with Databricks, Spark / PySpark, Python, and advanced SQL.
• Proven track record of designing data models and architectures using the Medallion Architecture pattern.
• Practical experience implementing high-volume, low-latency analytics solutions using ClickHouse.
• Solid engineering background in automated testing methodologies (unit, integration, and data quality validation) within data pipelines.
• Demonstrated capability to translate complex business needs into technical designs and clear backlog requirements.

Nice to have

• Practical experience within the AWS cloud ecosystem.
• Familiarity with real-time streaming architectures and frameworks such as Apache Kafka.
• Domain knowledge in payment processing, financial services, or merchant reporting systems.
• Conceptual or hands-on exposure to MLOps frameworks or integrating AI/ML workflows into Databricks platforms.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.