At a Glance
- Tasks: Design and build secure, scalable data pipelines in a collaborative Agile team.
- Company: Established client offering exciting projects in a secure environment.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to work with cutting-edge technologies.
- Other info: Dynamic role with excellent opportunities for professional growth.
- Why this job: Make a real impact on mission-critical projects while enhancing your data engineering skills.
- Qualifications: 7 years of experience in Data Engineering and expertise in cloud platforms like Azure or AWS.
Principal Data Engineer – Inside IR35 – Hybrid – SC Cleared
An established Client is seeking an SC Cleared Principal Data Engineer on an initial contract.
You’ll be responsible for designing, building, and maintaining secure, scalable data pipelines and platforms Working within a collaborative Agile team, you’ll deliver robust data engineering solutions using modern cloud technologies while ensuring compliance with security and governance standards.
This is an excellent opportunity to contribute to mission-critical projects within a secure environment.
Responsibilities
- Lead the design, development, and governance of enterprise-scale data platforms, architectures, and engineering standards.
- Build and optimise secure, scalable cloud-based data solutions that enable reporting, analytics, AI, and business intelligence capabilities.
- Design and maintain modern ETL/ELT pipelines, data integration frameworks, and reusable data products.
Experience
- 7 years’ experience in Data Engineering, Data Platform Development, or Software Engineering.
- Strong experience designing enterprise-scale cloud data platforms using Azure, AWS, or Google Cloud.
- Expertise with technologies such as Databricks, Azure Data Factory, Microsoft Fabric, Snowflake, Airflow, Spark, SQL, and Python.
- Proven experience building scalable ETL/ELT pipelines and modern data architectures.
- Between £600 – £900 Per day inside IR35
- This role is based in Reading and requires 3 days a week onsite
- #J-18808-Ljbffr
SC Cleared Principal Data Engineer - Inside IR 35 - Hybrid in Reading employer: Pearson Carter
At Pearson Carter, we pride ourselves on being an excellent employer by fostering a collaborative and supportive work culture that values employee growth and development. Our Skegness location offers unique advantages, including a close-knit community and the opportunity to work directly with clients, ensuring that your contributions have a meaningful impact. Join us to be part of a team that is dedicated to maximizing ERP investments while providing you with the resources and training needed to excel in your career.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Principal Data Engineer - Inside IR 35 - Hybrid in Reading
✨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 Pearson Carter before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Pearson Carter.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Pearson Carter.
We think you need these skills to ace SC Cleared Principal Data Engineer - Inside IR 35 - Hybrid in Reading
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pearson Carter, 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 Pearson Carter, 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 Pearson Carter’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pearson Carter
✨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 Pearson Carter.
✨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 Pearson Carter.
✨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 Pearson Carter.
