AWS Data Engineer - Permanent

Jefferson Frank; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A data consulting firm is seeking a Data Engineer to design and maintain robust data pipelines and models in a hybrid role based in London. Candidates should have at least 3 years of experience, proficiency in SQL and Python, and a strong background in AWS services. The role involves building ETL pipelines, ensuring data quality, and collaborating with various teams to provide accessible data for analytics.

Qualifications

• 3+ years in a data engineering role.
• Proficient in SQL and Python.
• Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3).
• Solid understanding of data warehousing and modelling: star/snowflake schema.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines.
• Design data models and schemas to support analytics and reporting.
• Integrate data from APIs, internal systems, and streaming sources.
• Monitor and ensure data quality and availability.
• Collaborate with analysts, engineers, and stakeholders to deliver clean datasets.

Skills

Data engineering experience

SQL proficiency

Python proficiency

Experience with AWS services

Data warehousing knowledge

Familiarity with Git

CI/CD pipeline experience

Docker familiarity

Troubleshooting BI connections

Job description

Data Engineer - Hybrid (London-Based) – Full-Time

Role Overview

As a Data Engineer, you'll be responsible for designing and maintaining robust data pipelines and models that support analytics and reporting. You'll work with diverse datasets and collaborate with cross-functional teams to ensure data is accurate, accessible, and actionable.

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines.
• Design data models and schemas to support analytics and reporting.
• Integrate data from APIs, internal systems, and streaming sources.
• Monitor and ensure data quality and availability.
• Collaborate with analysts, engineers, and stakeholders to deliver clean datasets.
• Optimise data architecture for performance and reliability.
• Share best practices and contribute to team knowledge.

Required Skills

• 3+ years in a data engineering role.
• Proficient in SQL and Python.
• Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3).
• Solid understanding of data warehousing and modelling: star/snowflake schema.
• Familiarity with Git, CI/CD pipelines, and containerisation (e.g., Docker).
• Ability to troubleshoot BI tool connections (e.g., Power BI).

Desirable Skills

• Experience with Infrastructure as Code (e.g., CloudFormation).

Please send me a copy of your CV if you meet the requirements