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- Tasks: Lead the design and delivery of advanced cloud-native data solutions.
- Company: Join a global leader in digital transformation consulting.
- Benefits: Enjoy hybrid work, continuous learning, and a clear path to leadership.
- Why this job: Work on exciting greenfield projects that make a real impact across various sectors.
- Qualifications: Extensive experience with ETL/ELT pipelines and proficiency in AWS services required.
- Other info: Must be eligible for SC clearance; bonus points for AWS certifications.
The predicted salary is between 90000 - 105000 £ per year.
Our client, a global leader in digital transformation consulting, is hiring a Principal Data Engineer to lead the design and delivery of advanced cloud-native data solutions. Based in London, Leeds, or Bristol, this is an opportunity to work on greenfield projects that solve complex data challenges across enterprise environments.
Hybrid (2 days per week in office)
Must be eligible for SC (Security Check) clearance
As a Principal Data Engineer, you’ll architect and implement data platforms using cutting-edge AWS services. Working within a multidisciplinary consulting team, you’ll collaborate directly with clients to shape strategy, drive delivery, and guide internal engineering standards.
- Build and maintain large-scale data lakes and ETL pipelines using AWS S3, Redshift, Glue, Lambda, DynamoDB, and Matillion
- Translate client requirements into scalable and secure data architectures
- Drive infrastructure-as-code and CI/CD deployment practices
- Process structured and semi-structured data (JSON, XML, Parquet, CSV)
- Maintain metadata, build data dictionaries, and ensure governance is embedded by design
This Principal Data Engineer will bring:
- Extensive experience with ETL/ELT pipelines and data transformation patterns
- Proficiency in AWS cloud services, particularly Redshift, Glue, Matillion, and S3
- Strong command of data quality, data lineage, and metadata practices
- Fluency in database technologies (both relational and NoSQL)
- Experience with Linux environments and data visualisation tools (e.g. Tableau, QuickSight, Looker)
Bonus points for:
- Exposure to data APIs and microservice-based architectures
- AWS certifications (Solutions Architect Associate, Big Data Specialty)
- Experience or interest in machine learning data pipelines
As a Principal Data Engineer, you’ll:
- Lead the architecture of cloud-first data ecosystems for top-tier clients
- Be part of a supportive, knowledge-sharing engineering team
- Enjoy hands-on influence across the full data lifecycle—from ingestion to insight
- Contribute to transformative programs in sectors such as financial services, retail, and government
- Access a clear path to leadership and continuous learning across cloud and consulting domains
Ready to lead next-generation data platforms? If you’re eligible for SC clearance, and want to work at the intersection of cloud, data, and strategy—this Principal Data Engineer role is your next step.
Principal Data Engineer - Aws employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer - Aws
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with AWS services. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences at companies like ours.
✨Tip Number 2
Familiarise yourself with the latest AWS tools and technologies mentioned in the job description, such as Redshift, Glue, and Matillion. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 3
Prepare to discuss your experience with ETL/ELT pipelines and data transformation patterns in detail. Be ready to provide examples of how you've successfully implemented these processes in previous roles, as this will demonstrate your expertise.
✨Tip Number 4
Research our company culture and values to understand what we prioritise in our teams. Tailor your conversations during interviews to reflect how your personal values align with ours, particularly in areas like collaboration and continuous learning.
We think you need these skills to ace Principal Data Engineer - Aws
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services, ETL/ELT pipelines, and data transformation patterns. Use specific examples that demonstrate your proficiency in the required technologies like Redshift, Glue, and S3.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of leading cloud-native data solutions and your experience in consulting environments.
Showcase Relevant Projects: Include details about any relevant projects you've worked on, especially those involving large-scale data lakes or CI/CD practices. Highlight your role in these projects and the impact they had on the organisation.
Highlight Continuous Learning: Mention any AWS certifications you hold or are pursuing, as well as your commitment to continuous learning in cloud and data technologies. This shows your dedication to staying current in a rapidly evolving field.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS services like Redshift, Glue, and S3 in detail. Highlight specific projects where you've implemented ETL/ELT pipelines and how you ensured data quality and governance.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your ability to tackle complex data challenges. Use examples from your past work to illustrate how you approached these problems and the solutions you implemented.
✨Understand the Company’s Vision
Research the consulting firm’s recent projects and their approach to digital transformation. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their success.
✨Prepare for Collaborative Discussions
As this role involves working within a multidisciplinary team, be ready to discuss how you collaborate with others. Share examples of how you've worked with clients or cross-functional teams to shape strategies and drive delivery.
