Senior Data Engineer - Remote-First Data Pipelines & AI

Deporvillage.com; Barcelona; Hybrid; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Ticket restaurant

Kindergarten benefits

Transport benefits

Job summary

Deporvillage is seeking a Data Engineer to join our fast-growing e-commerce team in Barcelona. You will design and maintain data pipelines, evolve our Data Lake and Data Warehouse, and work with a data team of Analysts and Scientists.

You will apply Agile methods, use SQL and AWS big data tech, and collaborate across the business to deliver scalable analytics. We offer a young, dynamic environment and flexible office attendance (1 day per week).

Qualifications

• 4+ years as a Data Engineer, preferably in e-commerce.
• AWS ecosystem experience; Glue, Step Functions, SNS, SQS.
• Experience with MySQL, MongoDB or Postgres.
• Strong Python programming skills.
• Advanced SQL writing and optimization.
• Solid knowledge of data structures.
• Big Data tech: Spark or Snowflake.
• Infra as code: Terraform.
• Empathy, teamwork and proactivity.
• Nice to have: Stream processing.
• Nice to have: AI workflows and LLM integrations.

Responsibilities

• Implement data pipelines and DAGs for Data Lake/Warehouse.
• Build ETL pipelines using SQL and AWS big data tech.
• Apply Agile methodologies aligned to quarterly OKRs.
• Collaborate with Data Analysts and Data Scientists.

Skills

Python

SQL

Teamwork

Proactivity

Data modeling

Problem solving

Tools

AWS

Glue

Step Functions

SNS

SQS

Terraform

MySQL

MongoDB

PostgreSQL

Spark

Snowflake

Job description

Deporvillage is seeking a Data Engineer to join our fast-growing e-commerce team in Barcelona. You will design and maintain data pipelines, evolve our Data Lake and Data Warehouse, and work with a data team of Analysts and Scientists.

You will apply Agile methods, use SQL and AWS big data tech, and collaborate across the business to deliver scalable analytics. We offer a young, dynamic environment and flexible office attendance (1 day per week).