Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Titan OS

Data Platform Engineer

Titan OS

. Build, operate, and improve batch and streaming ingestion pipelines for TV event data, partner feeds, and logs .

Posted 10/17/2026full-timeBarcelona • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining data ingestion pipelines, ensuring data reliability, and managing infrastructure as code across AWS services. Proficient in Python, SQL, and data modeling frameworks, with a strong commitment to data quality and collaboration with cross-functional teams.

Highest-signal resume keywords
Data Engineering ExperiencePython ProgrammingSQL ProficiencyAWS Services ManagementCI/CD with GitHub Actions

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentSQLMesh Data ModelsApache AirflowData Quality AssuranceData ModelingGDPR ComplianceInfrastructure as CodePerformance OptimizationData TransformationMonitoring and Incident Response
Soft Skills
Strong Communication Skills
Tools & Technologies
SnowflakeAWS GlueAWS KinesisTerraformGitHub ActionsApache IcebergParquetAWS MWAAEMRLake Formation
Industry Keywords
AdTechCTV/OTTStreaming MediaData ContractsSchema GovernanceConsent ManagementPII HandlingOpenLineageBigQueryPostgreSQL

Tech Stack

Tools & technologies
AirflowApacheAWSBigQueryCloudPostgresPythonSparkSQLTerraformGo

About the role

Key responsibilities & impact
  • Build, operate, and improve batch and streaming ingestion pipelines for TV event data, partner feeds, and logs
  • Contribute to the internal Python data platform SDK and CLI, including shared frameworks, templates, local development, and CI/CD
  • Build and maintain SQLMesh data models across core, production, analytics, and reporting datasets
  • Maintain data reliability through data contracts, audits, freshness SLAs, lineage, metadata/cataloguing, monitoring, and incident response
  • Own privacy-critical workflows including GDPR deletion pipelines, consent data, and PII handling
  • Manage infrastructure as code across AWS services including MWAA, Glue, EMR, Kinesis, S3, Lake Formation, and IAM
  • Optimize performance and costs across Snowflake warehouses, Spark/Glue jobs, and storage
  • Collaborate with Infrastructure, Backend, Ad-Tech, and business stakeholders to design data solutions

Requirements

What you’ll need
  • 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 is a plus
  • Experience with SQL transformation frameworks such as SQLMesh or dbt, and a good understanding of data modelling
  • Familiarity with Apache Iceberg, Parquet, Spark, AWS Glue / EMR
  • Experience with AWS data services including S3, Glue, Kinesis, IAM, and Secrets Manager
  • Experience with Terraform and CI/CD with GitHub Actions
  • Commitment to data quality, testing, observability, and accuracy
  • Strong communication skills and fluency in English
  • Nice to have: AWS Lake Formation or other data access governance tools
  • Nice to have: AdTech, CTV/OTT, or streaming media experience
  • Nice to have: GDPR, consent management, and PII deletion workflow exposure
  • Nice to have: OpenLineage/Marquez, OpenMetadata, data contracts, or schema governance
  • Nice to have: BigQuery or PostgreSQL ingestion experience
  • Nice to have: Terragrunt or Go experience
  • Nice to have: Interest in AI-assisted data engineering, LLM tooling, or MCP integrations with the warehouse

Benefits

Comp & perks
  • 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
  • Opportunity to join a well-funded, high-growth company in its early stages and help shape a product/business impacting millions