Senior Data Engineer - Media Buying Tech & Analytics

Dubizzle Limited; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading marketing technology company in the United Kingdom seeks a Senior Data Engineer to build and maintain scalable data infrastructure essential for analytics and business intelligence. The role involves collaboration with product managers, ensuring data quality, and influencing key infrastructure decisions. Ideal candidates have strong proficiency in Python and SQL, experience with AWS services, and a background in data engineering. Competitive salary and comprehensive benefits are offered.

Benefits

Competitive salary

Comprehensive medical benefits

Cell phone and Wifi reimbursement

Gym stipend

Work-life flexibility

Qualifications

• 3+ years of experience in data engineering or related roles.
• Proven track record of building and maintaining scalable data pipelines.
• Strong SQL proficiency with transactional RDBMS systems.
• Expert-level proficiency in Python.
• In-depth experience with distributed data technologies.

Responsibilities

• Collaborate with product managers and stakeholders.
• Ensure data quality and reliability through robust checks.
• Create data governance policies and develop data models.
• Influence direction for data management infrastructure.
• Manage complex initiatives with project priorities.
• Collaborate effectively across multiple time zones.

Skills

Data engineering experience

SQL proficiency

Python

Experience with RabbitMQ

Experience with Celery

Experience with Pyspark

Experience with AWS services

Experience with Apache Iceberg

Experience with S3 Tables

Experience with StarRocks

Job description

A leading marketing technology company in the United Kingdom seeks a Senior Data Engineer to build and maintain scalable data infrastructure essential for analytics and business intelligence. The role involves collaboration with product managers, ensuring data quality, and influencing key infrastructure decisions. Ideal candidates have strong proficiency in Python and SQL, experience with AWS services, and a background in data engineering. Competitive salary and comprehensive benefits are offered.