Staff Data Engineer | Up to 80K | Hybrid
hace 2 semanas
➡️ 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.
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