DataOps Engineer

Seeking a DataOps Engineer: Rhino, are you there? At WE ARE META, we focus on finding the perfect match between our Rhinos and our clients.

Requirements

At least 5 years of experience as a Data Engineer; Demonstrates strong SQL skills and applied data modelling expertise across dimensional, normalised, and lakehouse design patterns to support scalable data architecture; Writes production-grade Python and holds working knowledge of at least one of Scala, Java, or Go for data engineering workloads; Applies distributed processing frameworks, specifically Spark and Flink, to engineer high-throughput data solutions at scale; Holds advanced AWS expertise spanning Glue, EMR, Redshift, Athena, S3, Lambda, and Kinesis for end-to-end cloud data platform delivery; Designs and implements streaming and event-driven architecture using Kafka, Apache Flink, Kinesis, or Pub/Sub in production environments; Manages CI/CD pipelines via GitHub Actions, GitLab CI, Jenkins, or CircleCI, and provisions infrastructure using CDK or CloudFormation as Infrastructure as Code; Fluency in English (B2); Availability for Remote model (based in Portugal)

Benefits

Access to a network of national and international partners across the tech industry; Recruiter matching for working policy and company culture; Personalized support from a career coach; Welcome kit; Opportunities for career progression; Health insurance; Coverflex meal card; Other protocols and special discounts