Data Engineer

ComXps; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading company is seeking an experienced Data Engineer to design and maintain data pipelines, ensuring data accessibility and integrity. The role requires strong SQL skills, cloud platform experience, and excellent analytical abilities. Join a collaborative team focused on optimizing data solutions and implementing best practices in data management.

Qualifications

• 8+ years of experience as a Data Engineer or similar role.
• Proficiency in SQL and data modeling.

Responsibilities

• Design and maintain data pipelines for accessibility and integrity.
• Collaborate with teams for effective data integration.
• Monitor data quality and performance.

Skills

SQL

Analytical Skills

Problem Solving

Communication

Education

Bachelor’s degree in computer science

Tools

ETL tools

AWS

Azure

Python

Job description

This role can be a permanent position or contract role.

Clearance: DV

Inside IR35.

Location: Full time, 4-5 days per week onsite in London.

Requirements

• Bachelor’s degree in computer science, Information Technology, or a related field.

• 8+ years of experience as a Data Engineer or in a similar data-focused role.

• Proficiency in SQL and experience with data modeling and warehousing solutions.

• Familiarity with ETL tools and frameworks, as well as programming languages such as Python.

• Experience with cloud data platforms (e.g., AWS, Azure)

• Strong analytical and problem-solving skills, with a keen attention to detail.

• Excellent communication skills and the ability to work collaboratively in a team.

Responsibilities

• Design, develop, and maintain robust data pipelines to improve data accessibility and integrity.

• Collaborate with cross-functional teams to gather data requirements and ensure effective data integration.

• Optimize data storage solutions, implementing best practices for data management and security.

• Monitor data quality and performance, identifying and addressing any issues that arise.

• Utilize cloud technologies and platforms to manage and deploy data solutions efficiently.

• Document data architecture, workflows, and processes to ensure transparency and maintainability.