Data engineer in CTV

Titan OS

Barcelona

On-site

EUR 60,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Private health insurance
Office in Barcelona
International work environment

Job summary

Titan Operating System S.L. (Titan OS) — барселонская компания в области технологий, развлечений и рекламы — ищет инженера по данным в Барселоне.

Вы будете проектировать и внедрять конвейеры данных, разворачивать инфраструктуру AWS и оптимизировать обработку данных, работая с данным стеком и командой. Ожидается сильный опыт в data engineering, Python, SQL и ETL.

Qualifications

  • Опыт работы в роли data engineering; доказанная практика.
  • Сильные навыки Python и SQL, моделирование данных.
  • Знания ETL-пайплайнов и orchestration (Airflow) и облачной инфраструктуры (AWS).
  • Опыт работы с облачными сервисами (AWS/Azure/Google Cloud) и S3/Redshift/Databricks/Snowflake.
  • DevOps-мышление; ответственность за весь цикл проекта.

Responsibilities

  • Проектировать и внедрять интеграцию новых решений данных и пайплайнов.
  • Разрабатывать и поддерживать AWS-инфраструктуру для ingestion и обработки данных.
  • Оптимизировать управление данными по бюджету и производительности.
  • Работать с заинтересованными сторонами для выявления дефектов данных и внедрять fixes.
  • Разрабатывать Data Observability для мониторинга качества данных и производительности пайплайнов.

Skills

Data engineering
Python
SQL
ETL pipelines
AWS
Data modeling
Data ingestion
Airflow
DevOps
Communication

Tools

Airflow
AWS
Redshift
Databricks
Snowflake
S3

Job description

Описание:

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 looking for a Data Engineer to join our talented Data team in Barcelona.

Задачи:
  • 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
Требования:
  • 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
  • Experience with high-volume telemetry or clickstream data
Будет плюсом:
  • 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
Условия:
  • 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
  • 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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