At a Glance
- Tasks: Design and maintain secure data architectures while leading enterprise data pipeline development.
- Company: Join a defence client focused on innovative digital solutions in a hybrid working environment.
- Benefits: Competitive pay, flexible working, and opportunities for long-term career growth.
- Other info: Active SC clearance required; potential for contract extension until February 2027.
- Why this job: Make a real impact in a critical role within a dynamic and challenging environment.
- Qualifications: Bachelor's degree in relevant field and experience in data engineering or software development.
The predicted salary is between 63000 - 77000 £ per year.
- Principal Data Engineer - Secure Digital Platform (SDP) Data and Integration
- Duration: Initially Until Feb '27 - but very likely to extend (new programme)
- (Inside IR35)
- Active SC Clearance Required
Role details
- We are looking for SC cleared Data Engineers to support our defence client on a contract basis.
This role is focused on the Secure Digital Platform (SDP) Data and Integration, and will be based in Reading with hybrid working arrangements.
The initial contract will run until February 2027, with a strong likelihood of extension as this is a long term programme.
Key Responsibilities
- Design and maintain scalable, secure, and resilient data architectures and platforms.
- Lead the development of enterprise data pipelines, data integration frameworks, and data products.
- Establish and enforce data engineering standards, patterns, and best practices.
- Implement Data Ops and Dev Ops methodologies to enhance deployment efficiency and operational reliability.
- Collaborate with cross-functional teams to comprehend data requirements and deliver effective solutions.
- Ensure data quality, integrity, lineage, security, and compliance across all data assets.
- Provide technical leadership, mentoring, and coaching to data engineering teams.
- Support cloud migration and modernisation initiatives involving data platforms and services.
Job Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related discipline.
- Experience in data engineering, software engineering, or data platform development.
- Significant experience in designing and implementing enterprise-scale data solutions.
- Extensive experience with cloud data platforms such as Microsoft Azure, AWS, or Google Cloud.
- Proficiency in SQL, Python, Spark, and modern data processing frameworks.
- Experience building and managing ETL/ELT pipelines and streaming data solutions.
- Practical experience with Data Ops, Dev Ops, CI/CD pipelines, and Infrastructure as Code.
- Expertise in data modelling, data warehousing, and master data management principles.
- Strong understanding of data governance, metadata management, and data quality frameworks.
Desirable Skills
- Professional certifications in AWS, Azure, GCP, or Data Engineering.
- Experience within aerospace, defence, manufacturing, or highly regulated industries.
- Knowledge of AI/ML platforms and MLOps practices.
- Experience with graph databases and knowledge engineering solutions.
- Experience implementing data mesh or data fabric architectures.
- Enterprise Architecture experience.
- Experience leading large-scale data modernisation programmes.
- Knowledge of defence security standards and classified environments.
If you are a talented Data Engineer ready to take on a critical role in a dynamic and challenging environment, we would love to hear from you.
#J-18808-Ljbffr
Principal Data Engineer - Active SC required in Reading, Berkshire employer: Energy Jobline CVL
Join a well-established property maintenance contractor in Birmingham, where you will enjoy a supportive work culture and the opportunity for career progression. With benefits such as a company van, fuel card, and ongoing training, this role not only offers stability but also the chance to develop your skills in a hands-on environment backed by an experienced office team. Experience a rewarding career with guaranteed annual leave and social events that foster a strong team spirit.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer - Active SC required in Reading, Berkshire
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Energy Jobline CVL before they're even advertised!
✨Show Off Your Skills With Projects
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We think you need these skills to ace Principal Data Engineer - Active SC required in Reading, Berkshire
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Energy Jobline CVL, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Energy Jobline CVL, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Energy Jobline CVL’s attention and show the tangible impact of your work.
How to prepare for a job interview at Energy Jobline CVL
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Energy Jobline CVL.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Energy Jobline CVL.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Energy Jobline CVL.
