Principal Data Engineer - AWS

1 мес. назад

United KingdomEuropeLeadHybrid

awsdata pipelinesci/cd

Principal Data Engineer role focused on designing and building AWS-native cloud data platforms for financial services clients.

Обязанности

We’re looking for a Principal Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines that enable trusted, scalable data platforms. Working across greenfield initiatives and enterprise-scale programmes, your work will directly influence how data is ingested, transformed, and consumed across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to enhance productivity, improve delivery quality, and accelerate engineering outcomes while applying sound engineering judgement and responsible AI practices.

Будет плюсом

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 to continually improve delivery.

Условия

Deliver high-impact technology solutions for Tier 1 financial institutions.
Work in a collaborative, flat, and entrepreneurial consulting culture.
Access continuous learning, training, and industry certifications.
Be part of a team shaping the future of digital financial services.
Help shape the future of digital transformation across Financial Services & Energy.
Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Family Care: Eight complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: Five weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 hours of training annually through workshops, certifications and e-learning, plus a dedicated Business Coach from day one to support your career development.
Healthcare Access: Convenient online GP services.
Extra Perks: Wellhub (Gympass), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Другое

Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Engineer future-ready data platforms that power financial transformation.
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.
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 while maintaining appropriate human oversight and quality assurance.
Excellent stakeholder communication skills with the ability to translate business requirements into practical, high-quality technical solutions.
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know—we’ll be happy to help. We value each person’s unique perspective and contribution. At , we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration—a mindset that shapes how we work with clients and each other every day.
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