Senior Data Platform Engineer: Delta Lake & AKS

LSEG; Gdynia; On-site; PLN 204,000 - 322,000; Full time

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Software Engineer in Poland to design and implement data-driven platforms. You will build Delta Lake-based data pipelines, enable real-time data feeds, and ensure reliable data replication across environments using AKS and modern cloud-native services.

You will collaborate with engineering, architecture and product teams, promote best practices, and drive CI/CD, observability and quality in a fast-paced data ecosystem.

Qualifications

• Deep understanding of Data Lake architectures, including Delta Lake and optimization strategies.

Responsibilities

• Design, implement and enhance scalable data solutions using Data Lake technologies (ideally Delta).
• Build and maintain Change Data Feed pipelines to ensure real-time data accuracy and reliability.
• Develop and support mirroring capabilities for data replication and consistency across environments.
• Engineer modern cloud-native services using Azure Kubernetes Service (AKS).
• Work with event-driven architectures, including ingestion, orchestration and processing layers.
• Contribute to solutions built on Microsoft Fabric, integrating data, analytics and governance capabilities.
• Collaborate closely with cross-functional teams to enable seamless solution delivery.
• Champion clean code, best practices, automation, CI/CD, observability, and reliability.
• Participate in technical discussions, peer reviews, and decision-making processes to shape engineering standards.

Skills

Data Lake

Delta Lake

Change Data Feed

Mirroring

AKS

Event-driven

Microsoft Fabric

Tools

Azure Kubernetes Service (AKS)

Event Hubs

Kafka

Microsoft Fabric

Job description

London Stock Exchange Group (LSEG) is seeking a Senior Software Engineer in Poland to design and implement data-driven platforms. You will build Delta Lake-based data pipelines, enable real-time data feeds, and ensure reliable data replication across environments using AKS and modern cloud-native services.

You will collaborate with engineering, architecture and product teams, promote best practices, and drive CI/CD, observability and quality in a fast-paced data ecosystem.