Senior Big Data Infrastructure Engineer
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Before you apply
LocationPoland
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentIT Recruitment
Company size501–1,000 people
PostedOct 12, 2026 · 3w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5+ years of experience designing, deploying and operating big data platforms
Hands-on experience with HDFS / Hadoop: deployment, version upgrades, troubleshooting
Hands-on experience deploying and operating S3-compatible object storage (Apache Ozone, MinIO, or similar)
Experience with Apache Iceberg
Experience setting up monitoring and alerting for data infrastructure
English B2
Experience with Trino, Kafka or Flink
Experience with Iceberg REST catalogs (Lakekeeper, Gravitino, Polaris or similar)
Experience setting up resource quotas and cost allocation in a multi-tenant data platform
Hands-on use of AI tools, such as Copilot or agents, to speed up your work
Ability to work in the GMT+3 time zone (up to 3 hours difference)
Skills
HDFS
Hadoop
Apache Ozone
MinIO
Apache Iceberg
Trino
Kafka
Flink
Lakekeeper
Gravitino
Polaris
Copilot
Benefits
Flexible schedule
Remote work
Development plan
Training
Conference compensation
Corporate english school
Travel discounts
Extra day off
About the role
As a Big Data Infrastructure Engineer in the Big Data Platform team, you’ll own the big data infrastructure of our international contour and be its technical lead. You’ll deploy, upgrade and operate the core services of the platform: HDFS, S3-compatible object storage (Apache Ozone), Iceberg and others. You’ll start by helping run an infrastructure pilot that changes how the platform is used: a small number of very large datasets will become thousands of small tables. You’ll introduce compute and storage quotas for business units, migrate us from the default Iceberg catalog to a more capable one (Lakekeeper or Gravitino), and rebuild monitoring and alerting so alerts mean something again. You’ll work closely with an engineer who runs the same stack in a parallel contour. You’ll share approaches and solutions with them and cover for each other. Our infrastructure runs on the latest versions of everything, and we actively replace outdated tools. The role suits an experienced engineer who wants real ownership and a big say in architecture.
Requirements
•
5+ years of experience designing, deploying and operating big data platforms.
•
Hands-on experience with HDFS / Hadoop: deployment, version upgrades, troubleshooting.
•
Hands-on experience deploying and operating S3-compatible object storage. Apache Ozone is ideal, but MinIO or similar solutions also count.
•
Experience with Apache Iceberg.
•
Experience setting up monitoring and alerting for data infrastructure.
•
English B2.
•
Ability to work in the GMT+3 time zone (up to 3 hours difference).
Nice to have
•
Experience with Trino, Kafka or Flink.
•
Experience with Iceberg REST catalogs (Lakekeeper, Gravitino, Polaris or similar).
•
Experience setting up resource quotas and cost allocation in a multi-tenant data platform.
•
Hands-on use of AI tools, such as Copilot or agents, to speed up your work.
Benefits
•
Flexible schedules and opportunity to work remotely.
•
Ambitious and supportive team who love what they do, appreciate each other, and grow together.
•
A structured onboarding, a personal development plan, and regular internal lectures and demos from the team.
•
Internal programs for adaptation and training, development of soft skills, and leadership abilities.
•
Partial compensation for participating in external training and conferences.
•
Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
•
Corporate prices on hotels and travel services.
•
MyTime Day Off - an extra non-working day without loss of compensation.