Data Platform Engineer

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 warehouse)
Reasons to apply:
Centrally located office in the heart of Barcelona, with public transportation nearby
Competitive compensation
Private health insurance
Friendly, diverse, and international work environment
Opportunity to work outside of your comfort zone and develop professionally in an exciting and fast-growing CTV industry.
Change the future of TV!
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.
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