Principal Data Engineer – AWS

Responsibilities

We are representing a leading consulting organization serving Tier 1 financial institutions. Our client is seeking a Principal Data Engineer with deep AWS expertise to design and deliver enterprise-scale cloud data platforms that enable trusted, scalable analytics and transformation initiatives.

In this role, you will:

• Design and build end-to-end data pipelines using AWS-native services and modern cloud data architectures, ensuring scalable, secure, and resilient solutions
• Partner with clients and cross-functional teams to understand business requirements, define technical solutions, and deliver production-grade data platforms
• Apply AWS Well-Architected Principles, engineering best practices, CI/CD, and AI-enabled development approaches to improve quality, efficiency, and operational excellence
• Lead the development of robust, tested, fault-tolerant data engineering solutions while promoting responsible engineering standards and governance
• Mentor engineers, share technical expertise, and encourage the effective and responsible use of approved AI tools and automation to enhance collaboration and delivery

What We're Looking For

Required qualifications:

• Strong proficiency in Python, Scala, or Java, with hands-on experience of Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks
• Experience building real-time event streaming solutions using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments
• Proven expertise designing modern data architectures including Data Lakehouse and Data Warehousing solutions, alongside CI/CD, DevOps practices, and data governance including GDPR
• A collaborative engineering mindset with experience delivering scalable cloud solutions and using AI-enabled tools responsibly to improve engineering productivity
• Excellent stakeholder communication skills with the ability to translate business requirements into practical, high-quality technical solutions

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 ingestion and transformation frameworks within cloud-native data platforms
• Experience delivering solutions within highly regulated industries such as financial services
• Passion for mentoring others, driving engineering best practices, and exploring responsible AI and automation

How We Work With You

As a candidate working with Get A Job.ai, you'll apply through our platform where our talent team will review your background and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Please note that all communication regarding this opportunity should go through Get A Job.ai—do not contact the client directly.

This is a remote permanent position serving clients primarily in London and across the UK financial services sector.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity

Get A Job.ai is committed to providing equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We celebrate diversity and are dedicated to creating an inclusive environment for all candidates and employees.