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# Data Engineer

- **Company:** Visium SA
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data as a Services, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Software Debugging, Digital Assets, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Raw Data, Power BI, Software Engineering, Tableau (Software), Data Processing, Data Storage Technologies, Snowflake, Apache Spark, Data Lakes, Data Management, Data Pipelines, Databricks
- **Published:** July 21, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ 5+ years of experience building data assets and pipelines using platforms like Databricks and Snowflake.
 + Proficient in cloud technologies (Azure, AWS) and related data services.
 + Skilled in data visualization tools such as Tableau, PowerBI, and Quicksight.
 + Experienced with distributed data processing frameworks like Spark.
 + Knowledgeable in designing and maintaining production-level data warehouses and provisioning data lakes.
 + Familiar with software development principles, proficient in Python, and well-versed in data modeling and ETL design patterns.
 + Possesses a growth mindset, excels in problem-solving, and
 + Fluent communication both in English.
The following are a plus

 + You own one of the main Data and AI platforms certification (Databricks, Snowflake)
 + Familiarity with dbt and how to use it effectively
 + Experience in consulting is a plus

## Description

As a Senior Data Engineer, you will work with various stakeholders to provide business leaders with valuable insights from large and complex datasets. Starting from raw data, you will help build robust systems to make this data usable and accessible.
As a Senior Data Engineer, you will be responsible for:

 + Assess and understand client's data landscape and assess data quality
 + Work closely with business and IT stakeholders to understand business requirements
 + Participating in technical sales activities
 + Work with high volume of heterogeneous data with distributed systems
 + Design, develop, and maintain scalable and efficient data assets, including data pipelines, data lakes, data warehouses, and ETL processes based on well-known data platforms
 + Build and manage data infrastructure, including data storage, processing, and access
 + Implement data models and schema designs to support data analysis and reporting needs
 + Develop and maintain data quality and data governance frameworks
 + Create data visualizations and reports to communicate insights to stakeholders
 + Stay up to date with state-of-the-art data processing and analysis technologies.
 + Troubleshoot and debug data-related issues
 + Contribute to an exciting environment with a challenging team


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