Senior Data Engineer
Posted Updated
Summary
Senior Data Engineer joining the Data team in Barcelona to build and maintain the data infrastructure behind Titan OS's smart-TV platform — designing data pipelines and AWS ingestion/processing infrastructure, adding data observability, and standardizing DataOps practices. Core stack includes Python, SQL, Airflow, and AWS services.
Is this you?
Por favor, lea detenidamente la siguiente descripción del puesto para asegurarse de que encaja con el perfil antes de enviar su solicitud.
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:
We are looking for a Senior Data Engineer to join our talented Data team in Barcelona. In this role, you will play a crucial part in building and maintaining the data infrastructure that empowers our operating system to transform data into actionable insights. If you are passionate about data, have a strong technical skillset, and enjoy working in a collaborative environment, we encourage you to apply.
Key responsibilities:
- Design and implement the integration of additional data solutions and pipelines
- Develop and maintain AWS infrastructure related to data ingestion and processing
- Optimize data management and processing, both in terms of budget and performance
- Work with stakeholders to identify root causes of inaccurate data points and develop fixes
- Design and implement Data Observability frameworks to monitor data health, schema drift, and pipeline performance, ensuring high reliability before data reaches downstream stakeholders.
- Standardize DataOps practices, including version control for data models, automated testing, and Infrastructure as Code (IaC) to streamline deployments.
Requirements
What makes you a great fit:
- Solid proven experience in a data engineering role
- Strong programming skills in Python
- Proficiency in SQL and data modeling techniques
- Knowledge of data extraction and ETL frameworks, ETL pipeline orchestration (i.e. Airflow) and ETL cloud infrastructure (preferably on AWS)
- Experience with cloud platforms (AWS, Azure, Google Cloud) and associated services like S3, Redshift, Databricks, or Snowflake
- A DevOps mindset; used to having end-to-end responsibility in a project
- Excellent communication and collaboration skills
- Fluent in English
- Experience with high-volume telemetry or clickstream data
Nice to have:
- Familiarity with API integration and data extraction methods
- Experience with SQLMesh for data transformation and modeling
- Expertise with Spark and Scala
- Experience working with Agile methodologies
- Understanding of data governance best practices
Benefits
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.
If you're excited about this position, don’t hesitate to apply. xqbhyrx We’re waiting for you to join us! And if you want to know more about us, follow us on LinkedIn!
Por favor, lea detenidamente la siguiente descripción del puesto para asegurarse de que encaja con el perfil antes de enviar su solicitud.
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:
We are looking for a Senior Data Engineer to join our talented Data team in Barcelona. In this role, you will play a crucial part in building and maintaining the data infrastructure that empowers our operating system to transform data into actionable insights. If you are passionate about data, have a strong technical skillset, and enjoy working in a collaborative environment, we encourage you to apply.
Key responsibilities:
- Design and implement the integration of additional data solutions and pipelines
- Develop and maintain AWS infrastructure related to data ingestion and processing
- Optimize data management and processing, both in terms of budget and performance
- Work with stakeholders to identify root causes of inaccurate data points and develop fixes
- Design and implement Data Observability frameworks to monitor data health, schema drift, and pipeline performance, ensuring high reliability before data reaches downstream stakeholders.
- Standardize DataOps practices, including version control for data models, automated testing, and Infrastructure as Code (IaC) to streamline deployments.
Requirements
What makes you a great fit:
- Solid proven experience in a data engineering role
- Strong programming skills in Python
- Proficiency in SQL and data modeling techniques
- Knowledge of data extraction and ETL frameworks, ETL pipeline orchestration (i.e. Airflow) and ETL cloud infrastructure (preferably on AWS)
- Experience with cloud platforms (AWS, Azure, Google Cloud) and associated services like S3, Redshift, Databricks, or Snowflake
- A DevOps mindset; used to having end-to-end responsibility in a project
- Excellent communication and collaboration skills
- Fluent in English
- Experience with high-volume telemetry or clickstream data
Nice to have:
- Familiarity with API integration and data extraction methods
- Experience with SQLMesh for data transformation and modeling
- Expertise with Spark and Scala
- Experience working with Agile methodologies
- Understanding of data governance best practices
Benefits
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.
If you're excited about this position, don’t hesitate to apply. xqbhyrx We’re waiting for you to join us! And if you want to know more about us, follow us on LinkedIn!