Senior Software Engineer (London)

This range is provided by i3. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

SENIOR DATA ENGINEER

PERMANENT

CITY OF LONDON

As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS.

You will help drive the evolution of our data architecture as we move from Redshift to Snowflake.

Looking for someone with extensive experience with cloud providers?

Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker.

Looking for someone with hands-on development

Conducting code reviews, mentoring through pair programming.

Looking for data engineering and software development

Building APIs, integrating with microservices, or contributing to backend systems not just data pipelines or data modelling.

CI/CD and Infrastructure-as-Code

Tools like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform.

Key Responsibilities:

• Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions.
• Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability.
• Demonstrate proficiency in software engineering principles, contributing to the development of reusable libraries, APIs, and infrastructure-as-code components that support the broader data and analytics ecosystem.
• Contribute to the evolution of the teams data engineering standards and best practices, including documentation, testing, and architectural decisions.
• Develop and maintain data models and data marts that support self-service analytics and enterprise reporting.
• Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring of data infrastructure.
• Ensure data quality, security, and compliance with internal policies and external regulations.
• Continuously optimize data processing workflows for performance and cost, using observability tools and performance metrics.
• Collaborate cross-functionally with DevOps, analytical engineers, data analysts, and business stakeholders to align data solutions with product and business goals.
• Mentor and support team members through code reviews, pair programming, and knowledge sharing, fostering a culture of continuous learning and engineering excellence.

Skills and Experience:

• Bachelors degree or higher in a technical discipline
• Proven experience as a data engineer with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred)
• Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway
• Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs is a strong plus.
• Advanced SQL skills for complex data queries and transformations
• Proficiency in at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development
• Strong acumen for application health through performance monitoring, logging, and debugging
• AWS or Snowflake certifications are a plus

• Seniority level
  Mid-Senior level

• Employment type
  Full-time

• Job function
  Analyst, Business Development, and Engineering
• Industries
  Financial Services, Insurance, and Technology, Information and Media

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