Data Engineer

Rwmote · IT
4000–7000 USD net/monthly
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An international IT consulting company with over 15 years of experience, specializing in providing innovative solutions in technology and data. It helps organizations optimize business processes, implement AI, and effectively manage Data to achieve their business goals. The company is headquartered in California, with development centers in Europe.

The company offers the following services:

Data and AI Consulting: Assistance in developing and implementing data management and artificial intelligence strategies.

Software Development: Creation of tailored solutions for automating and improving business processes.

Analytics and Business Intelligence: Providing tools for data analysis that help clients make informed decisions.

Data Management: Assistance in cleaning and structuring data to enhance its quality and accessibility.

The company works with clients across various industries, including retail, healthcare, finance, and manufacturing, offering customized solutions based on each client's needs.

Responsibilities

  • Design and implement robust data architectures and systems.
  • Develop and maintain data pipelines to collect, process, and store data from various sources.
  • Create and optimize ETL processes to enhance data accessibility.
  • Ensure data quality and consistency through validation and cleaning processes.
  • Monitor and optimize data system performance to ensure efficiency.
  • Collaborate with cross-functional teams to gather data requirements and deliver effective solutions.
  • Document data systems and workflows for clarity and compliance.
  • Ensure data security and compliance with relevant regulations.

Requirements

  • 3+ years of experience in data engineering with large-scale, distributed data systems.
  • Strong hands-on experience with AWS and Azure.
  • Experience designing and maintaining data lakehouse architectures.
  • Familiarity with CI/CD for data workflows (Git, DevOps pipelines, Terraform).
  • Solid understanding of data modeling, governance, and performance tuning.

Conditions

  • Full-time, aligned with CET, CEST, GMT — European time zones as a priority. According to the standard labor calendar of Europe.
  • Full-time contract position (b2b, b2c)
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