Data Platform Engineer

Titan OS Partnership; Barcelona; Presencial; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private health insurance

Office in Barcelona

Resumo da oferta

Titan Operating System S.L. (Titan OS) in Barcelona seeks a Data Platform Engineer to build and run data products for Advertising, Content, Partner, Sales and Finance teams.

You'll work with AWS, Snowflake, Iceberg, Airflow MWAA, and SQLMesh, owning parts of the platform, improving pipelines and governance, and collaborating with senior engineers.

Qualificações

• 3+ years in data engineering or data platform roles
• Good Python skills and clean, tested code
• Strong SQL and experience with Snowflake or similar warehouse
• Experience with Apache Airflow for orchestration
• Exposure to lakehouse tech: Iceberg, Parquet, Spark, AWS Glue/EMR
• IaC and CI/CD with GitHub Actions
• Desire for data quality, observability, and governance
• Fluent in English and good communication skills

Responsabilidades

• Build, operate, and improve batch and streaming ingestion pipelines into S3/Iceberg lakehouse and Snowflake
• Contribute to internal data platform SDK and CLI (Python)
• Develop SQLMesh data models across data products
• Maintain data reliability with contracts, freshness SLAs, and lineage
• Own privacy workflows including GDPR deletions and PII handling
• Manage data platform infrastructure as code across AWS services
• Optimize performance and cost of Snowflake, Spark/Glue jobs and storage
• Collaborate with stakeholders to translate data needs into solutions

Conhecimentos

Python

SQL

Data modeling

Data quality

Communication

English fluency

Ferramentas

Snowflake

Apache Airflow

dbt

OpenMetadata

OpenLineage

Terraform

Terragrunt

GitHub Actions

Descrição da oferta de emprego

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.

• 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
• Exposure 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