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For Companies At a Glance
- Tasks: Design and optimise scalable data pipelines for advanced analytics and machine learning.
- Company: Join a leading Cyber Services company with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Work in a collaborative team with excellent career advancement opportunities.
- Why this job: Make an impact by enabling data-driven decisions in a dynamic tech environment.
- Qualifications: Experience in data engineering and familiarity with AWS technologies required.
The predicted salary is between 55000 - 70000 £ per year.
We are seeking a skilled Data Engineer to join our Engineering team, responsible for designing, building, and optimising scalable data pipelines that power advanced analytics and machine learning solutions. You will play a key role in enabling data-driven decision-making by delivering high-quality, reliable datasets to tools such as Amazon SageMaker and other analytics platforms.
Key Responsibilities
- Work closely with the Data Science team to develop robust data pipelines that feed analytics and machine learning tools such as Amazon SageMaker and third-party platforms like Databricks.
- Leverage AWS technologies such as EMR, S3, EKS and Airflow to process and orchestrate high-volume datasets, ensuring solutions are scalable, resilient and cost-efficient.
- Embed data loss prevention (DLP) principles and controls into data pipelines to protect sensitive information, while ensuring data is reliable, accessible, well-governed and optimised for downstream consumption.
Skills, Knowledge
Senior Data Platform Engineer employer: NCC Group plc
Contact Detail:
NCC Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. 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 AWS technologies and data engineering concepts. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team, so make sure to submit your application directly for the best chance at landing that role.
We think you need these skills to ace Senior Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Platform Engineer role. Highlight your experience with AWS technologies and data pipelines, as well as any relevant projects that showcase your skills in analytics and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific tools and technologies you’ve worked with.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing how you approach problems, especially when it comes to building scalable and resilient data solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at NCC Group plc
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, EMR, S3, and Airflow. Brush up on your knowledge of data pipelines and how they integrate with tools like Amazon SageMaker. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to data engineering. Think about how you optimised data pipelines or implemented DLP principles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer contributes to data-driven decision-making. Discuss how reliable datasets can influence business outcomes and support advanced analytics. This shows that you understand the bigger picture and are not just focused on the technical aspects.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about the team’s current projects, challenges they face, or how they measure success in their data initiatives. This demonstrates your genuine interest in the role and helps you assess if the company is the right fit for you.