Metyis AG

Data Engineering Analyst

Metyis AG
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5 months ago
Barcelona, SpainEntry Level / Mid Level

Responsibilities

  • Diagnose problems, develop hypotheses, and execute relevant data solutions.
  • Collaborate with teams to understand end-user requirements.
  • Develop and maintain data pipelines using Azure Data Factory and other technologies.
  • Monitor and troubleshoot data pipeline performance while resolving issues promptly.
  • Manage and store large datasets using Azure Data Lake Storage.
  • Implement data quality and data governance best practices.
  • Support data scientists with analytics and machine learning data requirements.
  • Stay current with data engineering, cloud technology, and big data tool advancements.
  • Create and maintain documentation for data pipelines, storage, and processing workflows.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Minimum 1–2 years of experience in a data engineering role.
  • Proficiency in SQL and Python.
  • Experience with Databricks or other pay-as-you-go data warehouse technologies.
  • Familiarity with big data technologies and distributed processing tools.
  • Understanding of data integration and ELT processes.
  • Strong problem-solving and collaborative teamwork skills.
  • Fluency in English and Spanish; Catalan is a nice-to-have.

Benefits

  • Work with senior client stakeholders and support end-to-end data handling, management, and analytics processes.
  • Collaborate with data scientists across the data lifecycle.
  • Join a fast-growing, international, diverse, and multidisciplinary team.
  • Work in an environment that values curiosity, collaboration, diversity, equity, inclusion, belonging, creativity, and professional growth.
  • Role is based in Barcelona.

Tech Stack

DatabricksPythonSQL

Categories

Data Engineering
Metyis AG

About Metyis AG

501-1,000 employees

Metyis AG is a privately held consulting firm that delivers AI and data analytics, digital commerce, marketing/design, and advisory services to enterprises. It partners with B2B and B2C clients to build data platforms, e‑commerce capabilities, and operating models, typically through long-term engagements. Founded in 2013 and headquartered in Baar, Zug, the company operates from 14 offices across Europe, India, and the Middle East.

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