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Senior Data Engineer

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Onsite

Senior Data Engineer

Deporvillage.com

Senior Data Engineer

Skills

SQL QueriesBig DataMongoDBE-commerce WebsitesPythonPostgreSQLMySQLSnowflakeAIAWSTerraform

17 days ago

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Important information


Contract type:

Permanent

Salary:

€45,000 – €50,000 / year

Location:

Barcelona, Spain

Work mode:

Onsite

Published on:

8 October 2026

What they need


Deporvillage is one of the biggest European e-commerce companies that is a market leader in its sector.

We are handling millions of page views and thousands of orders per day. For this reason, we have to be smart with data and build the best recommendation systems for our customers.

If you want to be part of a team which is using dynamic methodologies, with cutting edge technologies and a collaborative sense, then this job is made for you!

At Deporvillage, You Will

  • Implement data pipelines and complex DAGs to evolve and maintain our Data Lake and Data Warehouse.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Use Agile methodologies oriented towards quarter OKRs.
  • Work closely with our data team formed by: Data Analyst and Data Scientist.

What we expect you to bring

  • +4 years of experience as a Data Engineer, specially in an e-commerce industry
  • Experience with the AWS ecosystem. Desired technologies such as: Glue Step functions, SNS, SQS are appropriate
  • Experience with database engines such as MySQL, MongoDB or Postgres
  • Experience developing ETL/ELT processes
  • Strong knowledge of Python
  • Ability to write advanced and optimal queries in SQL
  • Strong knowledge of data structures
  • Having experience in Big Data technologies such as Spark or Snowflake
  • Using infrastructure-as-code solutions (Terraform).
  • Empathy, being a team player and proactivity is a must
  • Nice to have:
  • Stream processing
  • AI Engineer fundamentals such as: Ability to support and implement basic AI workflows, such as connecting data pipelines to LLM endpoints and tracking model performance.

What We Offer

  • A young and dynamic working environment
  • Competitive salary based on experience
  • Working location flexibility (only 1 day at the office per week, even post-pandemic)
  • Flat hierarchy and open communication
  • Flexible working hours
  • Tax-free benefits (ticket restaurant, kindergarten and transport)

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