أساسي
Senior Data Engineer
تم النشر: 03.06.2026
تاريخ الإغلاق: 18.07.2026
مرجع وظيفي: 19f333818545f00d6f0fe5a8eec2ca55
معلومات الوظائف
الموقع
Barcelone, España, Cataluña, Spain
الشركة
Arch 24 HR Tech Factory
مرجع وظيفي
19f333818545f00d6f0fe5a8eec2ca55
نوع القائمة
أساسي
مطلوب تصريح عمل من الاتحاد الأوروبي
لا
تم النشر
03.06.2026
تاريخ الإغلاق
18.07.2026
وصف الوظيفة
Senior Data EngineerKey ResponsibilitiesDesign, develop, and maintain robust data pipelines (ETL/ELT).Build and optimize data ingestion, transformation, and delivery processes for Business Intelligence, Analytics, and Data Science teams.Ensure data quality, reliability, scalability, and performance across the data platform.Contribute to data architecture decisions and continuous platform improvements.Collaborate closely with technical and business stakeholders in an Agile environment.Required Qualifications5–6 years of experience in Data Engineering.Strong proficiency in SQL and Python.Hands-on experience with data processing and orchestration tools such as Spark, Airflow, dbt, or similar technologies.Experience working with at least one cloud platform (AWS, Azure, or GCP).Solid understanding of Data Warehousing, Data Lakes, and data modeling concepts.Familiarity with Git and software development best practices.Nice to HaveExperience with Kafka or other streaming technologies.Knowledge of Databricks, Snowflake, or BigQuery.Exposure to CI/CD practices and Infrastructure as Code (IaC).Soft SkillsStrong analytical and problem-solving skills.Ability to work independently and collaboratively within cross-functional teams.Proactive mindset with the ability to drive technical improvements and architectural discussions. Sector: OtrosFunción: TI / TecnologíaTipo de empleo: Trabajo a tiempo indefinido
المهارات
analyse pipeline database information
cloud technologies
Computer Science
create data models
create data sets
Data Analytics
Data Models
data storage
Data Warehouse
database management systems
design database in the cloud
develop data processing applications
digital data processing
establish data processes
implement data warehousing techniques
manage data
manage ICT data architecture
manage quantitative data
manage research data
perform dimensionality reduction
process data
SAS Data Management
Statistics
store digital data and systems
Teradata Database
Unstructured Data
use data processing techniques
use databases