DevOps Engineer – Data Platform

About Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.

About The Role

We’re hiring a DevOps Engineer to join our Platform team and take full ownership of infrastructure and DevOps processes for our Data Platform. Today, data engineers at Eneba are stretched across both data pipeline development and infrastructure maintenance. You’ll step in to streamline, automate, and elevate the backend systems that power our analytics and data-driven products.

This is a hands-on and collaborative role where you’ll have the opportunity to reshape core infrastructure, focusing on AWS, CI/CD systems, database ops, and performance monitoring, while directly supporting some of the most critical projects in the company.

About The Team

You’ll be part of the Platform Engineering team, working closely with:

Data engineers (your closest collaborators and internal customers)
Backend and Frontend engineers building shared services
DevOps colleagues building EKS clusters, migration pipelines, and automation tools

Responsibilities

Own and evolve cloud infrastructure for the Data Platform, with a focus on AWS services like RDS, S3, IAM, and VPC
Build and maintain CI/CD pipelines for data-related workloads (e.g., Airflow, dbt, ingestion pipelines, Terraform)
Collaborate with data engineers to orchestrate and scale data pipelines, improving reliability and observability
Manage database operations, including migrations, replication, backups, and performance tuning for PostgreSQL/MySQL
Implement and enforce IAM policies and security best practices for data infrastructure
Optimize data platform cost, availability, and scalability across environments
Monitor platform health and implement alerting for failures, bottlenecks, or data anomalies
Enable self-service infrastructure for the data team by creating reusable templates and automation toolsChampion infrastructure best practices across the data lifecycle

Must-have Requirements

4+ years of DevOps or Infrastructure Engineering experience
Proven track record working with data engineering teams or on data-intensive platforms
Strong hands-on experience with AWS, especially:
RDS (PostgreSQL/MySQL): migration, replication, HA, tuning
S3 for data lakes
IAM, VPC, networking, security best practices
Experience with CI/CD for data pipelines or infrastructure-as-code (e.g., deploying Airflow DAGs, dbt jobs)
Proficient in Terraform, GitLab CI/CD, and scripting (Bash, Python)
Deep understanding of monitoring and observability (e.g., Prometheus, OpenTelemetry, ELK)
Comfortable enabling cross-functional collaboration and self-service tooling

Nice-to-have Requirements

Experience with Databricks, Delta Lake, or S3-based data lakes
Familiarity with Apache Airflow, Step Functions, or other workflow orchestration tools
Exposure to Spark, EMR, or large-scale data processing environments
Background in data validation, schema evolution, or lineage tracking
Experience managing secrets and sensitive credentials in data environments (e.g., AWS Secrets Manager, Vault)

What It’s Like To Work At Eneba

Opportunity to join our Employee Stock Options program.
Opportunity to help scale a unique product.
Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
Paid volunteering opportunities.
Work location of your choice: office, remote, opportunity to work and travel.
Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
Please attach CV's in English.
To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Salary ranges may vary. We’re seeking candidates with varied experience levels; from individual contributors to functional leaders in this space.
We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred.

DevOps Engineer – Data Platform

Key Skills

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