Data Engineer

Morgan McKinley; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company is seeking a Data Engineer with extensive experience in building data pipelines and ensuring data quality. The role involves designing ETL processes, collaborating with teams, and enhancing data-driven insights. Ideal candidates will have strong SQL and Python skills, along with a product-oriented mindset.

Qualifications

• Several years of hands-on experience in ETL development, SQL-based data analysis, and data visualization.
• Strong proficiency in SQL and Python.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines and data infrastructure.
• Collaborate with data scientists and analysts to deliver clean, reliable datasets.

Skills

ETL development

SQL

Python

Data visualization

Tools

Tableau

Job description

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

Base pay range

We're seeking a Data Engineer with ideally several years of experience in building and maintaining data pipelines, ensuring data quality, and enabling data-driven insights across teams.

Key Qualifications:

• Several years of hands-on experience in ETL development, SQL-based data analysis, and data visualization.
• Strong proficiency in SQL and Python (non-negotiable).
• Experience working with databases and building scalable data pipelines.
• Familiarity with Tableau for creating dashboards and visualizations.
• Product-oriented mindset with a strong understanding of data systems and how they support business outcomes.

Key Responsibilities:

• Design, develop, and maintain scalable ETL pipelines and data infrastructure.
• Integrate new data sources and ensure data quality, consistency, and accessibility.
• Collaborate with data scientists and analysts to deliver clean, reliable datasets.
• Build and maintain dashboards and visualizations to support reporting needs.
• Implement data governance best practices and support on-call data operations.

Expected Outcomes:

• Streamlined, automated data processes with reduced manual intervention.
• Improved data availability, accessibility, and usability across teams.
• Stronger data-driven decision-making within the Partner Group.

Ideal Background:

We welcome candidates from tech-forward, product-focused environments with strong analytical and coding skills. Experience working with similar high-growth or enterprise-level companies is a plus.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Temporary

Job function

• Job function

  Analyst

• Industries

  Technology, Information and Media

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