Senior Data Engineer

by Higlobe

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4 December 2025

This is a full-time role (40 hours/week) for a 6-month contract
Design, develop, and maintain scalable ETL pipelines for processing large datasets
Build data infrastructure on AWS, Azure ensuring performance, scalability, and cost-effectiveness
Develop and optimize data models and schemas for analytics and reporting
Collaborate with analysts and stakeholders to understand data needs and deliver solutions
Ensure data quality, integrity, and security throughout the lifecycle
Monitor pipeline performance, troubleshoot bottlenecks, and resolve data issues
Document processes and contribute to continuous improvement efforts across the team

6+ years of data engineering experience
Proficiency Python for data processing (Pandas, PySpark)
Proficiency AWS (S3, Glue, Redshift, Lambda)
Expertise with SQL and relational databases (SQL Server)
Experience building ETL processes handling millions of records
Deep knowledge of data architecture, performance tuning, and governance practices
Strong communication skills in both spoken and written English

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Employment Type

Remote

Higlobe

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