Data Engineering Analyst

Postgraduate degree
Functional areas

What we offer
  • Interact with senior stakeholders on regular basis, to drive their business towards impactful change.
  • Become the go-to person for end-to-end data handling, management and analytics processes.
  • Work with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization.
  • Become part of a fast-growing international and diverse team.
What you will do
  • Collaborate and work closely with teams to better understand the end-user requirements.
  • Design, develop, and maintain data pipelines using Azure Data Factory and other technologies, ensuring efficient and cost-aware processes.
  • Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly.
  • Work with Azure Data Lake Storage and Snowflake through dbt to manage and store large datasets, ensuring data is easily accessible and well-organized.
  • Implement data quality and data governance best practices to ensure the accuracy, consistency, and security of data.
  • Work closely with data scientists to understand their data requirements and provide the necessary support for their analytics and machine learning tasks.
  • Stay updated with the latest trends and advancements in data engineering, cloud technologies, and big data tools.
  • Create and maintain documentation related to data pipelines, data storage, and data processing workflows.
What you’ll bring
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Minimum of 1-2 years of experience in a data engineering role.
  • Proficiency in SQL and Python.
  • Experience with Snowflake or other pay-as-you-go DWH technologies.
  • Familiarity with big data technologies and distributed processing tools.
  • Understanding of data integration and ELT processes.
  • Good problem-solving skills and the ability to work collaboratively in a team environment.
Good to have

  • Experience with Azure data tools, including Data Lake, Data Factory and Azure Functions.
  • Experience with GitHub Actions for CI/CD pipeline implementation.
  • Knowledge of data quality and data governance best practices.
  • Experience with real-time data processing and streaming analytics.
  • Understanding of the energy sector and related data challenges.

Job information

Firm: Metyis

Location: Barcelona

Education: Postgraduate degree