Senior Data Engineer
Deporvillage
Barcelona, Spain
14 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Shift work
Job source
Tech stack
Agile Methodology
Artificial Intelligence
Amazon Web Services
Big Data
Extract Transform Load (ETL)
Data Structures
Data Warehousing
Python (Programming Language)
PostgreSQL
MongoDB
MySQL
Recommender Systems
+12 more
Standard Sql
SQL Databases
Database Engines
Large Language Models
Snowflake
Apache Spark
Data Lakes
Amazon Simple Queue Service (SQS)
Terraform
Stream Processing
Data Pipelines
Automation Anywhere
Job description
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)
Requirements
- +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.
Benefits & conditions
- 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)
About the company
Deporvillage is one of the biggest European e-commerce companies that is a market leader in its sector.
Apply for this position
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Apply on www.jobleads.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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