Home-Based Senior Software Engineer

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This range is provided by i3. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Delivery Team Lead - i3 Agile Recruitment Solutions for the Age of Intelligence
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
~ Seniority level Mid-Senior level

Employment type
~ Employment type Full-time

Job function
Job function Analyst, Business Development, and Engineering
Industries Financial Services, Insurance, and Technology, Information and Media
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Location:
London
Job Type:
FullTime

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