Deel

Data Engineer

Deel

full-time

Posted on:

Location Type: Remote

Location: Anywhere in Europe

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AirflowApacheETLPythonSQL

About the role

  • Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.
  • Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.
  • Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.
  • Implement data quality measures (such as validation checks and cleansing routines) to ensure data integrity and reliability.
  • Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver appropriate solutions.
  • Document pipeline designs, data flows, and data definitions for transparency and future reference, adhering to team standards.
  • Handle multiple tasks or projects simultaneously, prioritizing work and communicating progress to stakeholders to meet deadlines.

Requirements

  • Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics).
  • At least 3 years of experience in a data engineering or similar backend data development role.
  • Strong SQL skills and experience with data modeling and building data warehouse solutions.
  • Proficiency in at least one programming language (e.g., Python) for data processing and pipeline automation.
  • Familiarity with ETL tools and workflow orchestration frameworks (e.g., Apache Airflow or similar).
  • Experience implementing data quality checks and working with large-scale datasets.
  • Good problem-solving abilities, plus strong communication and teamwork skills to work with cross-functional stakeholders.
Benefits
  • Stock grant opportunities dependent on your role, employment status and location
  • Additional perks and benefits based on your employment status and country
  • The flexibility of remote work, including optional WeWork access
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonETL processesdata modelingdata warehouse solutionsdata quality measuresdata transformationdata aggregationdata pipeline automationdata cleansing
Soft Skills
problem-solvingcommunicationteamworkcollaborationprioritizationtime managementstakeholder managementdocumentationtransparencyadaptability
Certifications
Bachelor’s degreeMaster’s degree