Senior Data Engineer

Hr Talent House Sa

Barcelona, Spain

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

Agile Methodology Airflow Amazon Web Services Data Analysis Microsoft Azure BigQuery Continuous Integration Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Warehousing

+17 more

Python (Programming Language) Software Engineering SQL Databases Workflow Management Systems Software Organization Data Processing Cloud Platform System Data Ingestion Snowflake Apache Spark Infrastructure as Code (IaC) Git Data Lakes Apache Kafka Video Streaming Data Pipelines Databricks

Job description

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 / TecnologíaRAL:Tipo de empleo: Trabajo a tiempo indefinido

Requirements

5-6 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 Have Experience with Kafka or other streaming technologies. Knowledge of Databricks, Snowflake, or BigQuery. Exposure to CI/CD practices and Infrastructure as Code (IaC). Soft Skills Strong 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.