Data Platform Engineer ID98943

AgileEngine, LLC.

Madrid

Hybrid

EUR 80,000 - 116,000

Full time

2 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine, LLC, a leading software development partner, is seeking a Data Platform Engineer to modernize and migrate data-platform infrastructure across cloud environments.

The role requires 3+ years of senior-level production data-platform engineering, strong Python, Bash and SQL, and expertise in AWS, Snowflake, and Kafka/Confluent. You will lead migrations, implement secure access, and collaborate across teams.

Qualifications

  • 3+ years of senior-level production data-platform engineering experience.
  • Strong Python, Bash and SQL skills.
  • Experience with AWS, Snowflake and Kafka/Confluent.

Responsibilities

  • Migrate infrastructure and data-platform workloads to the new infrastructure.
  • Move the data-platform infra to AWS us-east-2 with connectivity and deployment prerequisites.
  • Ensure secure, governed data access for data-platform consumers and downstream systems.
  • Modernize the data-platform architecture, tooling, and operational practices.
  • Support Snowflake, Confluent/Kafka, AWS migrations and operations across environments.
  • Participate in troubleshooting, incident response, and cross-team migration coordination.
  • Use Terraform/IaC, GitLab, monitoring, and runbooks for auditable changes.

Skills

Senior data-platform engineering
Python
Bash
SQL

Tools

Snowflake
Kafka/Confluent
AWS

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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