Senior Data Engineer – AWS

Responsibilities

We are representing a confidential financial services consulting organization seeking a Senior Data Engineer to join their growing cloud engineering practice. In this role, you will design, build, and deploy cloud-based data pipelines that power enterprise-scale platforms for Tier 1 financial institutions.

Your responsibilities will include:

• Designing and building end-to-end data pipelines leveraging AWS-native services and modern data architectures
• Collaborating with clients to gather requirements, define technical solutions, and deliver production-grade systems that meet business needs
• Applying AWS Well-Architected Principles, CI/CD practices, and AI-enabled engineering approaches to deliver scalable, secure, and resilient solutions
• Developing robust, tested, and fault-tolerant data engineering solutions while promoting engineering best practices and data governance
• Mentoring junior engineers, contributing to knowledge sharing, and encouraging the responsible use of approved AI tools and automation to improve collaboration and delivery

What We're Looking For

Required skills and experience:

• Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks
• Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments
• Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance
• Experience delivering scalable cloud-based data solutions and using AI-enabled tools responsibly to improve engineering efficiency while maintaining appropriate human oversight and quality assurance
• Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams and client environments

Preferred qualifications:

• Expertise in data modelling, schema design, and working with structured and semi-structured datasets
• Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation
• Knowledge of automating cloud-based ingestion and transformation frameworks
• Experience delivering data engineering solutions within highly regulated industries such as financial services
• Passion for mentoring others, promoting engineering best practices, and exploring responsible AI and automation to continually improve delivery

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and arrange an initial screening conversation. If there's a strong match, we will submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for you.

This is a permanent, remote position based in the United Kingdom with hybrid flexibility available in London.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and will make reasonable accommodations throughout our recruitment process.