Is this you? Titan Operating System S.L. (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.

Over the last two years, Titan OS has grown revenue 10x and attracted leading investors, including Highland Europe and Mangrove.

At TitanOS, we live by three core values:

Make things happen - We take ownership, move fast, and deliver impact

No ego - We collaborate with respect and humility to reach shared goals

Show genuine passion - We love what we do and never stop learning

Culture and environment are at the heart of our ethos. If the above resonates with you, keep reading because we believe you could be a perfect addition to our incredible team

Role overview: Every day, millions of Smart TVs running Titan OS generate a large volume of data: viewing sessions, launcher interactions, ad impressions, device telemetry and consent signals. Our data partners, such as TV manufacturers and content providers, add even more. As a Data Platform Engineer, you will help build and run the platform that turns all of this into trusted, well-governed data products for our Advertising, Content, Partner, Sales and Finance teams.

Our platform is built on AWS and Snowflake, with an Iceberg lakehouse on S3, Airflow (MWAA) for orchestration, and SQLMesh for data modelling. It is organised around data products with explicit contracts,



freshness SLAs and lineage. We also maintain our own Python SDK and CLI that every data product is built on. You will work alongside senior engineers, take ownership of parts of the platform, and grow your scope as you go.

Key responsibilities:

Build, operate, and improve batch and streaming ingestion pipelines that bring TV event data, partner feeds (BigQuery, PostgreSQL, ad-server and other APIs) and logs into our S3/Iceberg lakehouse and Snowflake

Contribute to our internal data platform SDK and CLI (Python): the shared framework, templates, local development environment and CI/CD that every data product team builds on

Build and maintain SQLMesh data models across our data products, from core and production datasets to analytics and reporting layers

Keep data reliable: data contracts, audits, freshness SLAs, lineage (OpenLineage) and metadata/cataloguing (OpenMetadata), plus monitoring and incident response when pipelines break

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 data platform infrastructure as code (Terraform/Terragrunt) across AWS services such as MWAA, Glue, EMR, Kinesis, S3, Lake Formation and IAM





Help optimise performance and cost across Snowflake warehouses, Spark/Glue jobs and storage

Work with Infrastructure, Backend, Ad-Tech and business stakeholders to understand their data needs and turn them into well-designed solutions

What makes you a great fit:

3+ years of experience in data engineering or data platform roles, working on production data pipelines

Good Python skills, comfortable writing clean, tested and reusable code

Strong SQL and hands-on experience with

Snowflake

(or a similar cloud warehouse)

Experience with

Apache Airflow

(MWAA a plus) for workflow orchestration

Experience with SQL transformation frameworks such as

SQLMesh or dbt , and a good understanding of data modelling

Familiarity with lakehouse technologies:

Apache Iceberg , Parquet, Spark, AWS Glue / EMR

Experience with AWS data services (S3, Glue, Kinesis, IAM, Secrets Manager)

Experience with infrastructure as code ( Terraform ) and CI/CD with GitHub Actions

You care about data quality: testing, observability, and getting things right

Strong communicator and fluent in English

Nice to have:

Experience with

AWS Lake Formation

or other data access governance tools

Experience in AdTech, CTV/OTT or streaming media (ad-server data, FAST channels, device telemetry)

Exposure to GDPR, consent management (e.g. OneTrust) and PII deletion workflows

Experience with OpenLineage/Marquez, OpenMetadata, or data contracts and schema governance

Experience ingesting from BigQuery or PostgreSQL sources

Terragrunt or Go experience

Interest in AI-assisted data engineering (LLM tooling, MCP integrations with the war

📌 Data Platform Engineer (Madrid)
🏢 Titan Operating System
📍 Madrid