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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; 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.
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:
LinkedIn 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 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 enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in building data lakes and your understanding of data governance.
Showcase Relevant Projects: Include details about past projects where you led the design and delivery of cloud-native data solutions. Highlight any greenfield projects you've worked on and the impact they had on the business.
Highlight Continuous Learning: Mention any AWS certifications or relevant training you've completed. This shows your commitment to staying updated in the field and your readiness to take on leadership roles in data engineering.
How to prepare for a job interview at LinkedIn
✨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, as this will demonstrate your hands-on skills and understanding of the technologies required for the role.
✨Understand the Business Context
Research the company and its clients to understand the industries they operate in. Be ready to discuss how your data engineering solutions can address specific challenges faced by these sectors, such as financial services or retail.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to walk through scenarios where you had to design scalable data architectures or implement governance practices, showcasing your thought process and decision-making skills.
✨Demonstrate Collaboration Skills
As the role involves working within a multidisciplinary team, be ready to share examples of how you've successfully collaborated with clients and colleagues. Emphasise your ability to communicate complex technical concepts to non-technical stakeholders.
