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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, competitive salary, 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 and machine learning interest.
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 (Machine Learning) employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer (Machine Learning)
✨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 will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with cloud-native solutions. Attend meetups or webinars focused on AWS and data architecture to gain insights and potentially connect with current employees at the company.
✨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 implemented these processes in past roles, as this will demonstrate your expertise.
✨Tip Number 4
Showcase your understanding of data governance and quality practices. Be prepared to explain how you've maintained metadata and built data dictionaries in previous projects, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Principal Data Engineer (Machine Learning)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience with ETL/ELT pipelines and data transformation patterns. Emphasise your proficiency in AWS services, particularly Redshift, Glue, and S3, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leading cloud-native data solutions. Mention specific projects where you've architected data platforms and how you collaborated with clients to drive delivery.
Showcase Relevant Skills: Clearly outline your skills in data quality, data lineage, and metadata practices. If you have experience with Linux environments or data visualisation tools like Tableau, make sure to include that as well.
Highlight Continuous Learning: Mention any AWS certifications you hold or are pursuing, as well as your commitment to continuous learning in cloud and consulting domains. This shows your dedication to staying updated 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, particularly Redshift, Glue, and S3. Highlight specific projects where you've built ETL pipelines or data lakes, 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 Client's Needs
Research the company and its clients before the interview. Be ready to discuss how you would translate client requirements into scalable data architectures, showing that you can align technical solutions with business goals.
✨Emphasise Collaboration and Leadership
As a Principal Data Engineer, you'll be leading teams and collaborating with clients. Share experiences that demonstrate your ability to work in multidisciplinary teams, mentor others, and drive projects to successful completion.
