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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; opportunity to influence the full data lifecycle.
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. 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 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.
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.
Principal Data Engineer, Consulting employer: Anson McCade
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 interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with cloud-native solutions. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and challenges in data engineering.
✨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
Showcase your understanding of data governance and quality practices. Be prepared to explain how you've maintained metadata and built data dictionaries in past projects, as this is crucial for the role and will highlight your attention to detail.
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 the technologies mentioned in the job description.
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 the Principal Data Engineer position, particularly your experience in building data lakes and implementing cloud-native solutions.
Showcase Relevant Projects: If you have worked on greenfield projects or have experience in high-value engagements, be sure to mention these in your application. Highlight any specific challenges you faced and how you overcame them using your technical skills.
Highlight Continuous Learning: Mention any relevant AWS certifications or ongoing education in cloud and data technologies. This shows your commitment to staying updated in the field and aligns with the company's focus on continuous learning.
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 data lakes or ETL pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨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, demonstrating your ability to align technical solutions with business goals.
✨Demonstrate Leadership Skills
As a Principal Data Engineer, you'll be expected to lead teams and projects. Share examples of how you've guided teams in the past, focusing on your approach to mentoring and driving engineering standards within a multidisciplinary environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Practice articulating your thought process when faced with complex data challenges, especially in high-value engagements across various industries.
