DataOps Engineer in Poznań

ID98943 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. What you will do

Help migrate infrastructure and data-platform workloads from client infrastructure to new infrastructure; Help move the data-platform infrastructure and workloads to AWS, 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 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 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; Upper-intermediate English level; 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: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps; Competitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities; A selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions; Flextime: Flexible schedule with remote and office options for work-life balance; Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match—you’ll get an offer!

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