Data Engineer

US Tech Solutions; Greater London; Remote; GBP 45,000 - 70,000; Full time

Job summary

A leading company is seeking a Data Engineer with at least 4 years of experience in data engineering and analytics. The role involves designing and maintaining data pipelines, ensuring data quality, and supporting analytics initiatives. This position offers the opportunity to work remotely and play a crucial role in the organization's data strategy.

Qualifications

• 4+ years of experience in data engineering and analytics.
• Strong SQL skills and proficiency in Python.

Responsibilities

• Design, build, visualize, and maintain scalable data pipelines.
• Collaborate with engineers to integrate new data sources.

Skills

SQL

Python

Problem Solving

Education

PG in Management

Job description

This range is provided by US Tech Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from US Tech Solutions

Associate Team Lead- Recruitment & Delivery | PG in Management

Location: UK- Remote

Duration: 12 Months

Job Description:

Data Engineer with a minimum of 4 years of experience in designing, building, and maintaining robust data pipelines. The ideal candidate will play a key role in ensuring data quality and supporting analytics initiatives across the organization.

Qualifications:

• 4+ years of experience in data engineering, data processing (ETL), and analytics.
• Strong SQL skills for data querying and analysis.
• Experience with data visualization tools is a plus.
• Proficiency in Python.
• Strong problem-solving skills and attention to detail.

Key Responsibilities:

Data Infrastructure Development

• Design, build, visualize, and maintain scalable data pipelines and ETL processes.
• Collaborate with the team's engineers to integrate new data sources.

Data Analytics Support

• Work with data scientists to provide clean, reliable datasets for reporting and analysis.
• Develop and maintain dashboards and visualizations as needed.

Data Management

• Ensure data quality, consistency, and accessibility.
• Support the team's on-call duties.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Internet Marketplace Platforms

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