Remote Analytics Engineer - Data Pipelines & BI

Deel; United Kingdom; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Stock grants

Remote work

WeWork access

Job summary

Deel is seeking a data analytics engineer to design, build, and maintain data models, pipelines, and metrics across the business. You will collaborate with data analysts and analytics engineers, using dbt, SQL, Python, and BI tools to ensure reliable, well-defined data.

This remote-friendly role offers growth, exposure to global teams, and the chance to influence data strategies across countries, with a strong focus on quality and impact.

Qualifications

• Bachelor’s or Master’s degree in a relevant field (e.g., CS, Math, Physics).
• At least 3 years of experience in a similar data analytics engineering or BI development role.
• Strong proficiency in SQL and experience with dbt and data warehousing concepts.
• Hands-on experience with BI platforms (Looker/Tableau) and Python for data processing.

Responsibilities

• Design, develop, and maintain data models that align with data architecture and business needs.
• Manage data pipelines end-to-end from extraction to transformation and loading.
• Use complex SQL and macros to transform data and optimize queries.
• Incorporate data quality checks and cleansing to ensure reliability.
• Collaborate with data analysts to ensure consistent metrics and definitions.
• Lead portions of meetings or share improvements to analytics workflows.

Skills

SQL

Data modeling

dbt

Python

Communication

Deadline-driven

Education

Bachelor’s or Master’s degree in CS/Math/Physics

Tools

Looker

Tableau

Data warehousing concepts

Job description

Deel is seeking a data analytics engineer to design, build, and maintain data models, pipelines, and metrics across the business. You will collaborate with data analysts and analytics engineers, using dbt, SQL, Python, and BI tools to ensure reliable, well-defined data.

This remote-friendly role offers growth, exposure to global teams, and the chance to influence data strategies across countries, with a strong focus on quality and impact.