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# Data Engineer

- **Company:** Cataluña
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Software as a Service, Cloud Computing, Cloud Database, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Migration, Data Profiling, Data Structures, Data Warehousing, Distributed Systems, Python (Programming Language), Reverse Engineering, SQL Databases, Data Logging, Data Processing, Data Ingestion, Informatica Powercenter, Apache Spark, AWS Lambda, Git, Pyspark, Oracle Service Cloud, Information Technology, AWS Glue, Data Pipelines
- **Published:** August 28, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Bachelor's or Master's degree in Engineering, Computer Science, or related field
 + Typically 5 years of experience in data engineering, ETL, or data warehousing roles
 + Experience working in enterprise-scale data environments
 + Strong hands-on experience in Python / PySpark
 + Strong proficiency in SQL (querying, optimization, transformations)
 + Experience in building and maintaining data pipelines (ETL/ELT)
 + Experience with AWS services (AWS Glue, AWS Lambda, S3)
 + Version control using GIT
Good to Have

 + Hands-on experience with Informatica PowerCenter
 + Experience with workflow orchestration tools (Airflow / Step Functions)
 + Strong understanding of data warehousing concepts (EDW, ODS, staging layers)
 + Knowledge of CI/CD pipelines for data engineering
 + Exposure to cloud-based data lake architectures
 + Knowledge of BI tools like Oracle Analytics Cloud and ThoughtSpot
Key Competencies

 + Strong analytical and problem-solving skills
 + Deep understanding of data structures and relationships
 + Attention to data quality and accuracy
 + Ability to work in cross-functional teams
 + Ownership mindset for delivery and operations

## Description

We are looking for a skilled Data Integration & Data Warehousing Engineer to design, build, and manage scalable data pipelines and enterprise data warehouse solutions using AWS Glue , AWS Lambda and Informatica.
This role will focus on enabling reliable data ingestion, transformation, modelling, and delivery across the organization while ensuring performance, quality, governance, and scalability.
The ideal candidate should have strong experience in ETL/ELT frameworks, data warehousing design, advanced SQL development, and cloud-based data engineering., Data Integration & Pipeline Development

 + Design, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenter
 + Build robust ETL/ELT workflows for ingesting structured data from multiple sources (databases, APIs, files, SaaS systems)
 + Develop reusable ingestion frameworks to support data migration from on-prem to cloud
Data Warehousing & Modelling

 + Develop and maintain dimensional models (fact/dimension tables, SCD handling)
 + Optimize data models for analytics and reporting performance
Cloud Data Engineering

 + Develop and manage AWS Glue jobs using PySpark / Python
 + Build and orchestrate workflows across AWS ecosystem (Redshift, Lambda)
 + Ensure efficient compute and storage utilization for performance and cost optimization
Monitoring & Operations

 + Monitor ETL pipelines and job performance
 + Troubleshoot data failures and performance bottlenecks
 + Implement logging, alerting, and recovery mechanisms
Data Engineering & Processing

 + Build scalable data processing solutions using Spark and distributed computing techniques
 + Perform data profiling, reverse engineering, and ad-hoc analysis
 + Support downstream systems by delivering clean, reliable, and optimised datasets


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