Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you Our platform combines content discovery and advertising technology in one solution, helping leading TV brands unlock greater value. Titan OS powers devices from major brands including Philips, AOC and JVC, reaching millions of viewers across Europe and LATAM. Titan OS is also powering free premium FAST Channels on selected SONY Android TVs. This is an infrastructure role within our Data team. You won't be writing analytics queries or building reports. You will build, run and scale the cloud infrastructure that our data platform runs on, and the tooling our data engineers use every day. On top of that come feeds from our data partners. All of this runs on infrastructure our team owns on AWS and Snowflake Event ingestion (an collector on Kubernetes, and Kinesis) An S3/Iceberg lakehouse with the Glue catalog and AWS Lake Formation Airflow on MWAA for orchestration Snowflake as our warehouse Everything is defined in Terraform/Terragrunt and deployed through GitHub Actions. As a Data Platform Engineer, you will treat the data platform as a product. Your job is to make it reliable, secure, automated and cost-efficient, so the data engineers building on it can move fast. You will work closely with our Infrastructure team and alongside senior engineers, taking ownership of parts of the platform and growing your scope as you go Design, provision and operate the data platform's AWS infrastructure as code (Terraform/Terragrunt): S3, Glue, EMR, Kinesis, MWAA, Lake Formation, IAM, KMS and networking GitHub Actions workflows, OIDC-based deployments, package publishing (CodeArtifact),



local development environments, and our internal Python SDK/CLI that every data product is built on Operate and scale our orchestration (Airflow on MWAA) and ingestion services: upgrades, environment management, capacity, reliability Own privacy-critical workflows, including GDPR deletion pipelines, consent data and PII handling, with full auditability and fine-grained access control through AWS Lake Formation Manage Snowflake as infrastructure: roles and access control, warehouses, integrations with S3/Iceberg, service accounts and secrets Build observability for the platform: monitoring, alerting, logging, lineage and metadata tooling (OpenLineage, OpenMetadata), plus taking part in incident response Track and optimise cloud costs across AWS and Snowflake (storage, compute, warehouses, job sizing) Apply security best practices: least-privilege IAM, encryption, secrets management and audit trails, in line with our ISMS Work with Infrastructure, Backend and the data engineers to improve platform standard and remove friction from their workflows 3+ years of experience in platform, infrastructure, DevOps, or cloud engineering, ideally supporting data workloads ~ Strong hands-on experience with AWS, especially IAM, S3, VPC/networking, KMS and Secrets Manager, plus at least some of Glue,



EMR, Kinesis, MWAA, or Lake Formation ~ Solid experience with Terraform (Terragrunt a plus) and managing infrastructure across multiple environments and accounts ~ Experience building CI/CD pipelines (GitHub Actions or similar) ~ Good Python skills for automation, tooling and internal libraries; comfortable with Bash ~ Experience with containers (Docker) and some exposure to Kubernetes ~ Experience running or supporting Apache Airflow (MWAA a plus) or similar orchestrators ~ Familiarity with data platform components (Snowflake or another cloud warehouse, Spark, Iceberg/Parquet), mainly from the angle of deploying, securing and operating them ~ An operational mindset: monitoring, alerting, troubleshooting and on-call ~ Strong communicator and fluent in English Hands-on experience with AWS Lake Formation, Snowflake administration or other data access governance tools Experience with observability tools (Datadog, CloudWatch) and FinOps practices Some exposure to SQL transformation frameworks (SQLMesh or dbt), so you understand what our data engineers need This role is a good fit if you enjoy building the platform more than the pipelines on it: infrastructure as code, automation, security and reliability. If you mainly enjoy writing SQL transformations and data models, this probably isn't the right role. Centrally located office in the heart of Barcelona, with public transportation nearby Private health insurance A unique opportunity to join a well-funded, high-growth company in the early stages to help shape a product/business that will impact millions. #

📌 Senior Data Engineer Aws Y Snowflake (Barcelona)
🏢 Titan OS Partnership
📍 Barcelona