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- Tasks: Lead the evolution of enterprise data platforms and implement innovative engineering standards.
- Company: Join a leading insurance client with a focus on modern data solutions.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on AI integration and modern practices.
- Why this job: Shape the future of data engineering while working with cutting-edge Microsoft technologies.
- Qualifications: Extensive experience in data platform design and advanced SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are currently recruiting for a Principle Data Engineer with ECS experience to join one of our Insurance clients on a 6-month contract. Inside IR35 Hybrid- 2 days a week onsite in Ipswich.
Responsibilities
- Own and evolve the target architecture for enterprise data platforms across Systems of Record and Analytical Platforms, translating it into deliverable engineering work.
- Produce solution designs, patterns, and working examples (e.g., sample pipelines, reference notebooks).
- Act as a technical authority on architectural trade-offs, helping teams balance timeliness, consistency, resilience, simplicity, and cost.
- Create, document, and help implement engineering standards and best practices (through templates, CI/CD checks, and working examples).
- Lead platform modernisation by evaluating, adopting, and migrating to newer, more cost-effective Microsoft first capabilities; retire legacy or over-engineered ETL approaches and decommission redundant components.
- Promote AI driven development practices (e.g., AI assisted code generation, test creation, documentation, and refactoring) with appropriate guardrails around security, correctness, and maintainability.
- Enable integration with AI platforms by shaping data products for AI use cases and defining patterns for secure access to enterprise data.
- Define consistent patterns for how Systems of Record expose data for analytical consumption.
- Ensure Analytical Platforms provide trusted, explainable representations of enterprise data.
Experience
- Significant hands-on experience designing, building, and operating enterprise scale data platforms using Microsoft first cloud technologies.
- Able to deliver independently in a contractor context: shape work from problem statements, manage priorities, and drive to production outcomes with minimal supervision.
- Hands-on experience with relevant data platform services and technologies, such as SQL (e.g., SQL Server/Azure SQL), Microsoft Fabric (Lakehouse/Warehouse, Data Factory), and Databricks (Spark).
- Advanced SQL skills and experience working with complex datasets.
- Demonstrated ability to simplify and rationalise existing architectures.
- Comfortable working across multiple teams and stakeholder groups with varying priorities.
- Experience with modern data engineering practices such as version control, CI/CD, automated testing, and infrastructure-as-code.
- Experience integrating data platforms with AI services and tools (e.g., Azure OpenAI or equivalent), including secure data access patterns for analytics and AI workloads.
- Working knowledge of a general-purpose programming language used in data engineering (e.g., Python) and scripting/automation.
- Strong awareness of security, access control, and governance concepts for enterprise data platforms.
senior data engineer in Suffolk employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land senior data engineer in Suffolk
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Microsoft technologies. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Azure, and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss architectural trade-offs and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace senior data engineer in Suffolk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience with Microsoft cloud technologies and any relevant projects you've worked on. We want to see how your skills align with the job description!
Showcase Your Projects: Include specific examples of your work, especially those that demonstrate your ability to design and operate enterprise-scale data platforms. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft cloud technologies mentioned in the job description. Brush up on your SQL skills, especially with SQL Server and Azure SQL, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Architectural Skills
Prepare to talk about your experience with designing and evolving data architectures. Have examples ready that demonstrate how you've balanced trade-offs like cost, resilience, and simplicity in your previous roles.
✨Demonstrate Your Problem-Solving Ability
Be ready to discuss how you approach problem statements and manage priorities. Share specific instances where you’ve driven projects to production outcomes independently, highlighting your ability to work in a contractor context.
✨Emphasise Collaboration and Communication
Since you'll be working across multiple teams, it’s crucial to show that you can communicate effectively with various stakeholders. Prepare examples of how you've navigated differing priorities and collaborated successfully in past roles.