Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, competitive salary, and a clear path to leadership.
- Why this job: Work on exciting greenfield projects that make a real impact across industries.
- 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 72000 - 84000 £ 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.
Salary: £90,000 – £105,000
Location: London, Leeds, or Bristol
Hybrid: 2 days per week in office
Must be eligible for SC (Security Check) clearance
The Role
As a Principal Data Engineer, you’ll propose and implement solutions using a range of AWS infrastructure. Working within a multidisciplinary consulting team, you’ll collaborate directly with clients to shape strategy, drive delivery, and guide internal engineering standards.
Your responsibilities:
- 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
- Work across industries in fast-paced, high-value engagements
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:
- Familiarity with Hadoop, Spark, or MapReduce
- Exposure to data APIs and microservice-based architectures
- AWS certifications (Solutions Architect Associate, Big Data Specialty)
- Experience or interest in machine learning data pipelines
Why Join?
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. Apply today and build what’s next.
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer, Consulting
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as Redshift, Glue, and S3. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with cloud-native solutions. Engaging in relevant online communities or attending industry meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with ETL/ELT pipelines and data transformation patterns in detail. Be ready to share specific examples of how you've tackled complex data challenges in previous roles.
✨Tip Number 4
Showcase your understanding of data governance and quality practices. Be prepared to explain how you've implemented these in past projects, as this is crucial for the role and will demonstrate your alignment with the company's values.
We think you need these skills to ace Principal Data Engineer, Consulting
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 building data lakes and working with cloud-native solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience in leading data engineering projects and how you can contribute to their consulting team. Be sure to align your skills with the job requirements outlined in the description.
Showcase Relevant Projects: If you have worked on greenfield projects or have experience with data governance and metadata practices, include these in your application. Highlight any specific tools or technologies you used, such as AWS Glue or Matillion, to demonstrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to data architecture, AWS services, and data processing. Brush up on your knowledge of structured and semi-structured data formats, as well as your experience with data visualisation tools. This will help you stand out during the interview process.
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 built data lakes or ETL pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Since this role involves solving complex data challenges, think of examples where you've successfully tackled difficult problems. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your thought process.
✨Understand the Consulting Environment
Familiarise yourself with the consulting landscape and the specific industries the company operates in. Be ready to discuss how your skills can add value to their clients and how you would approach client interactions and project delivery.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street, so prepare insightful questions about the company's culture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
