Senior Data Engineer

Visium SA
Municipality of Valencia, Spain
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Municipality of Valencia, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Data as a Services
Data Governance
Data Infrastructure
ETL
Data Visualization
Data Warehousing
Software Debugging
Software Design Patterns
Distributed Data Store
Distributed Systems
Python
Raw Data
Power BI
Software Engineering
Tableau
Data Processing
Data Storage Technologies
Snowflake
Spark
Data Lake
Data Management
Data Pipelines
Databricks

Job 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

Requirements

  • 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

Benefits & conditions

What we offer

  • A competitive compensation package
  • A yearly education budget to steep your learning curve
  • A yearly sport budget because a fit body leads to a fit mind
  • A flexible working culture because your work-life balance matters to us
  • A position that enables you to have an impact on 1'000s of people, and the whole company's growth.
  • An international, knowledgeable, and passionate team with a strong collaborative mindset

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