Principal Data Engineer, Consulting (England)
Principal Data Engineer, Consulting (England)

Principal Data Engineer, Consulting (England)

England Full-Time 90000 - 105000 £ / year (est.) No home office possible
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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 (England) employer: Anson McCade

As a global leader in digital transformation consulting, our company offers an exceptional work environment for a Principal Data Engineer, with opportunities to engage in innovative greenfield projects across London, Leeds, and Bristol. We pride ourselves on a collaborative culture that fosters knowledge sharing and professional growth, providing clear pathways to leadership while ensuring a healthy work-life balance through hybrid working arrangements. Join us to not only advance your career but also make a meaningful impact across various high-value sectors.
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Contact Detail:

Anson McCade Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Data Engineer, Consulting (England)

✨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

Research the company’s recent projects and initiatives in digital transformation consulting. Understanding their approach and challenges can help you tailor your responses during interviews and show your genuine interest in their work.

We think you need these skills to ace Principal Data Engineer, Consulting (England)

Extensive experience with ETL/ELT pipelines
Proficiency in AWS cloud services (Redshift, Glue, Matillion, S3)
Strong command of data quality and data lineage practices
Fluency in database technologies (relational and NoSQL)
Experience with Linux environments
Knowledge of data visualisation tools (e.g. Tableau, QuickSight, Looker)
Ability to translate client requirements into scalable data architectures
Experience with infrastructure-as-code and CI/CD deployment practices
Familiarity with processing structured and semi-structured data (JSON, XML, Parquet, CSV)
Understanding of metadata management and governance
Exposure to Hadoop, Spark, or MapReduce (bonus)
Familiarity with data APIs and microservice-based architectures (bonus)
AWS certifications (Solutions Architect Associate, Big Data Specialty) (bonus)
Interest in machine learning data pipelines (bonus)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your extensive experience with ETL/ELT pipelines and AWS cloud services. Use specific examples that demonstrate your proficiency in tools like Redshift, Glue, and Matillion.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the role. Mention your experience in building data lakes and your familiarity with data governance practices.

Showcase Relevant Projects: Include details of any greenfield projects you've worked on, especially those involving cloud-native data solutions. Highlight your role in shaping strategy and driving delivery within multidisciplinary teams.

Highlight Certifications: If you have AWS certifications such as Solutions Architect Associate or Big Data Specialty, make sure to mention them prominently. This can set you apart from other candidates and demonstrate your commitment to 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 ETL pipelines or data lakes, 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 articulate 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 guide engineering standards. Prepare examples of how you've led projects or mentored colleagues in the past, showcasing your leadership style and collaborative approach.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills. Think about complex data challenges you've encountered and how you approached them, especially in fast-paced environments. This will show your ability to think critically under pressure.

Principal Data Engineer, Consulting (England)
Anson McCade
A
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