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Staff Data Engineer | Up to 80K | Hybrid

hace 4 semanas


Sant Cugat del Vallès, España Talent-R A tiempo completo

➡️ We’re seeking a Staff Data Engineer willing to play a key role in a pioneering company in the Marketing sector that combines technology, AI, and creative strategies to deliver cutting-edge web design, SEO, social media management, and digital analytics solutions.

  • 📍 Location: Barcelona (Sant Cugat del Vallès, Mirasol)
  • 💰 Salary: Up to 80K (negotiable according to profile)
  • 🏠 Hybrid work model (2 remote days per week)


RESPONSIBILITIES ⚒️

  • 📐 ETL/ELT Development: Design, develop, and maintain robust ETL/ELT processes to ingest and transform large volumes of structured and unstructured data.
  • 🗄️ Data Modeling & Storage: Implement scalable data models and storage solutions to support analytics, machine learning, and business intelligence initiatives.
  • 🔗 Data Integration & Automation: Integrate third-party and internal data sources into centralized platforms and automate repetitive tasks to enhance efficiency.
  • 📑 Data Governance & Compliance: Ensure data quality, security, and compliance with industry standards (GDPR, HIPAA, etc.).
  • 🔁 Cross-Functional Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and deliver timely, accurate data solutions.
  • 🚀 Performance Monitoring & Optimization: Continuously monitor infrastructure performance, identifying bottlenecks and optimizing systems for improved concurrency, query performance, and storage efficiency.
  • 💡 Advanced Data Analytics: Collaborate with data science teams to implement analytical data pipelines.


QUALIFICATIONS 💡

  • 5+ years of experience in designing and building large-scale data systems, including ETL/ELT, data modeling, and data warehousing.
  • Strong programming skills in Python and advanced SQL knowledge for data manipulation and analysis.
  • Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure, including services such as AWS Redshift, BigQuery, or Azure Data Lake.
  • Experience with big data technologies such as Hadoop, Spark, Kafka, or other distributed computing frameworks.
  • Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra) and expertise in data modeling for optimal performance.
  • Competence in data pipeline orchestration tools such as Airflow, Prefect, or Luigi.
  • Strong understanding of data storage solutions, including data lakes and data warehouses.


BENEFITS 🌱

  • 🕑 Flexible working hours and shortened workdays every Friday
  • 🌴 23 working days of vacation + 🎂 your birthday off.
  • 📈 Performance-based bonus linked to team objectives.
  • 🤸🏻‍♀️ Gym discounts
  • 👥Team-building activities, celebrations, and off-sites.