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Data Platform Engineer

Remote in Portugal·Full-time·Added yesterday (last checked 2 Nov)

AgileEngine

20 open roles

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Our summary

Work mode: Remote (Portugal)
Contract: Full-time
Experience: 3+ years

Skills

Nice to have

Requirements

What we're looking for

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.

Nice to have

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.

Pay & benefits

What you'll get

Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
Well-being & support: access local well-being programs and people-focused support tailored to your location

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'll do

Help migrate Glassdoor infrastructure and data-platform workloads from GD infrastructure to Indeed 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 Glassdoor data to Indeed data-platform consumers and downstream systems.
Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with Indeed 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.