Data Platform Engineer ID98943

AgileEngine

Kraków

Hybrid

PLN 547,000 - 704,000

Full time

3 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine is seeking a Data Platform Engineer to modernize, migrate, and maintain reliable data-platform infrastructure across cloud and enterprise environments. The role requires 3+ years of senior-level production data-platform engineering with strong Python, Bash and SQL skills, plus expertise in AWS, Snowflake and Kafka/Confluent.

Responsibilities include migrating workloads to new infrastructure (USE2), enabling secure data access, modernizing architecture, and supporting operations

Qualifications

  • 3+ years of senior-level, hands-on experience in production data-platform engineering with a DevOps-leaning background.
  • Strong Python, Bash, and SQL skills.
  • Production experience with Snowflake and Confluent/Kafka.
  • Deep Snowflake and AWS, with working Kafka knowledge, or Deep Kafka/Confluent and AWS with working Snowflake knowledge.
  • Experience operating or migrating production systems across development, staging, and production environments.
  • Strong troubleshooting, incident-response, testing, documentation, and cross-team communication skills.
  • Experience with least-privilege access, change control, secrets handling, and secure operational practices.
  • Strong cross-functional communication skills.

Responsibilities

  • Help migrate infrastructure and data-platform workloads from the existing infrastructure to the new infrastructure.
  • Help move the data-platform infrastructure and workloads to AWS us-east-2 (USE2), including required connectivity, deployment, and operational prerequisites.
  • Enable secure, governed accessibility of data to data-platform consumers and downstream systems.
  • Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with organizational standards.
  • Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
  • Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination.
  • Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes.

Skills

Python
Bash
SQL
AWS
Snowflake
Kafka
DevOps
Terraform/IaC
GitLab

Tools

Terraform/IaC
GitLab

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Data Platform Engineer to modernize, migrate, and maintain reliable data-platform infrastructure across cloud and enterprise environments.

The mandatory requirements are 3+ years of senior-level production data-platform engineering experience, strong Python, Bash and SQL, AWS, Snowflake and Kafka/Confluent expertise, production migration and operations, secure access practices, troubleshooting, and upper-intermediate English. Legacy data migration experience is a plus.

WHAT YOU WILL DO
  • Help migrate infrastructure and data-platform workloads from the existing infrastructure to the new infrastructure.
  • Help move the data-platform infrastructure and workloads to AWS us-east-2 (USE2), including required connectivity, deployment, and operational prerequisites.
  • Enable secure, governed accessibility of data to data-platform consumers and downstream systems.
  • Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with organizational standards.
  • Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
  • Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination.
  • Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes.
MUST HAVES
  • 3+ years of senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience.
  • Strong Python, Bash, and SQL skills
  • Production experience with both Snowflake and Confluent/Kafka, with a focus on DevOps and operations. Deep experience in one and working knowledge of the other is fine:
  • Deep Snowflake and AWS, with working Kafka knowledge (topics, connectors, schemas), OR
  • Deep Kafka/Confluent and AWS, with working Snowflake knowledge.
  • Experience operating or migrating production systems across development, stage, and production environments.
  • Strong troubleshooting, incident-response, testing, documentation, and cross-team communication skills.
  • Experience with least-privilege access, change control, secrets handling, and secure operational practices.
  • Strong cross-functional communication skills.
NICE TO HAVES
  • Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads
  • Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools
  • Migrating legacy Airflow, Hadoop or Hive workloads to cloud-native or managed platforms
  • Experience working across a company migration or acquisition and aligning systems to a new organization's standards
  • Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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