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Senior Data Platform Engineer

Globaldev Tech — Poland · Posted ~4 hours ago

Senior

Skills

Data platform engineering Data infrastructure Data lakes Large-scale data ingestion Scalable distributed systems Data architecture Data platforms Data ingestion pipelines Distributed systems AI infrastructure

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Summary ✨ AI‑Generated

A senior, hands-on data engineering opportunity focused on designing and evolving scalable data infrastructure. You will build high-volume ingestion pipelines, architect and operate data-lake systems, and develop foundational platforms that support analytics, AI workloads, applications, and large-scale model execution. The role offers substantial influence over the future architecture of a growing data platform.

Highlights

Hands-on senior engineering role with significant influence over data-platform architecture. You will design scalable data infrastructure, build high-volume ingestion pipelines, architect data-lake systems, and support analytics, AI workloads, product applications, and large-scale model execution using modern data technologies.

Description

We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the company's data infrastructure. This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the company's future growth. This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform. Requirements: 5+ years of experience as a Data Platform/Infra EngineerProven track record of building and operating scalable data infrastructure specifically within Data Lake architecturesProven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDAStrong proficiency in Python and SQL. Hands-on experience with Infrastructure as Code, preferably TerraformExperience with managing a data orchestration platform such as Airflow or PrefectExperience with Snowflake Responsibilities: Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platform's streaming capabilitiesDesign and implement data solutions for all application requirements in a distributed microservices environmentDevelop and optimize large-scale data pipelines for batch and streaming use casesEnsure data quality, compliance, and governanceManage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloadsOwn the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworksProvide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system designDeep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast What we offer: Comfortable environment, challenging tasks and a long-term interesting project;Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues)Covered 20 days of vacation;Working with top notch equipment;Bookkeeping by a professional accountant;Help and support from our caring HR-team;