Lead Data Engineer

83zero Ltd; Greater London; On-site; GBP 90,000 - 100,000; Full time

Job summary

A leading fintech company in London is seeking a Lead Data Engineer with a strong analytics background. You will design and develop data models, write SQL for data pipelines, and automate workflows using Python. The ideal candidate has over 5 years of data experience, with proficiency in SQL and Python, and familiarity with cloud data platforms like Snowflake. This full-time position offers a competitive salary range of £90,000 - £100,000.

Qualifications

• 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
• Proven expertise in SQL and building complex data models.
• Strong proficiency in Python for data processing, ETL, and workflow automation.

Responsibilities

• Design, develop, and maintain data models to support analytical and operational use cases.
• Write efficient, production-grade SQL to build data pipelines and transformations.
• Develop and maintain data workflows and automation scripts in Python.

Skills

SQL

Python

Data modeling

Cloud data platforms

Infrastructure as code

Tools

Snowflake

Terraform

Job description

Overview

Lead Data Engineer (with Data Analytics Background)

Location: City Of London

Employment Type: Full-time

Salary: £90,000 - £100,000k

Sector: Fintech / Payments

Key Responsibilities

• Design, develop, and maintain data models to support analytical and operational use cases.
• Write efficient, production-grade SQL to build data pipelines and transformations.
• Develop and maintain data workflows and automation scripts in Python.
• Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.
• (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform.
• Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.

Skills & Experience

• 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
• Proven expertise in SQL and building complex data models.
• Strong proficiency in Python for data processing, ETL, and workflow automation.
• Experience with cloud data platforms (Snowflake experience highly desirable).
• Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.
• Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.

Nice to Have

• Experience with modern data stack tools (e.g., dbt, Airflow, etc.).
• Understanding of CI/CD pipelines and data infrastructure automation.
• Familiarity with data governance, security, and best practices in a cloud environment