Data Engineering Analyst

Posted 2 Days Ago
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Barcelona, Cataluña, ESP
In-Office
Junior
Artificial Intelligence • Big Data • Marketing Tech • Consulting
The Role
Build, monitor, and troubleshoot data pipelines and storage on Azure (Data Factory, Data Lake). Support data scientists, implement ELT and data governance, ensure data quality, and document workflows while collaborating with stakeholders.
Summary Generated by Built In

Metyis is growing! We are looking for a Data Engineering Analyst with +1 year of experience to join our international Data and Analytics team, based in Barcelona.

Who we are:

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer:

  • Interact with senior stakeholders at our clients 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

  • Working 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:

  • Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions

  • Collaborate and work closely with teams to better understand the end-user requirements

  • 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 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 Databricks 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

Excellent written and verbal communication skills in English and Spanish

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 1-2 years of experience in a data engineering role
  • Proficiency in SQL
  • Proficiency in Python
  • Experience with Databricks or other pay-as-you-go data warehouse technologies
  • Experience developing and maintaining data pipelines using Azure Data Factory
  • Experience with Azure Data Lake Storage for large dataset management
  • Familiarity with big data technologies and distributed processing tools
  • Understanding of data integration and ELT processes
  • Good problem-solving skills and ability to work collaboratively
  • Excellent written and verbal communication skills in English and Spanish
Am I A Good Fit?
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The Company
776 Employees
Year Founded: 2013

What We Do

Metyis is a global firm that specializes in AI & Data, Digital Commerce, Marketing, and Design solutions, alongside advisory services. They focus on long-term partnerships to drive sustainable growth and performance for their clients through data-driven decision-making and integrated digital strategies, operating with a diverse, global talent pool across multiple international locations.

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