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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: Flexible working, generous holiday allowance, and community volunteering opportunities.
- Other info: Exciting career growth opportunities and a supportive team culture.
- Why this job: Make a real impact by enabling data-driven decisions in a dynamic environment.
- Qualifications: Strong AWS data engineering experience and proficiency in Python required.
The predicted salary is between 55000 - 65000 £ 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 & Expertise
Essential
- Strong experience in data engineering within AWS cloud environments.
- Hands-on experience with AWS big data technologies such as EMR, S3 and SageMaker.
- Proficiency in Python for building scalable data pipelines and processing frameworks.
- Experience with Apache Spark for distributed data processing.
- Experience designing and maintaining scalable batch and real-time data pipelines.
- Solid understanding of ETL/ELT design patterns and data modelling techniques.
- Experience with workflow orchestration tools such as Apache Airflow (ideally deployed on AWS).
- Familiarity with containerisation and orchestration using Docker and Kubernetes (EKS).
- Experience with infrastructure as code (e.g. Terraform) and CI/CD/GitOps practices.
- Proven ability to optimise performance and reduce cloud costs through partitioning, clustering and workload management.
- Understanding of data security principles, including data loss prevention (DLP).
Desirable
- Experience with Databricks or similar third-party big data platforms.
- Knowledge of real-time streaming technologies (e.g. Kafka, Kinesis).
- Experience implementing data governance and compliance frameworks.
- Familiarity with monitoring and observability tools in AWS environments.
- Exposure to Lakehouse or modern data platform architectures.
Job Benefits
- Flexible Working: Balance your work and personal life with our flexible working options.
- Generous Holiday Allowance: Enjoy 25 days of holiday, plus bank holidays, with the option to buy up to 5 additional days of annual leave.
- Medicash & Critical Illness Scheme Financial & Investment Benefits: Enjoy peace of mind with our Pension, Life Assurance, and Share Save Scheme.
- Community & Volunteering Programmes: Make a difference in your community with our volunteering opportunities.
- Green Car Scheme: Drive green and save money with our eco-friendly car scheme.
- Cycle Scheme: Stay fit and healthy with our cycle-to-work scheme.
- Special Time Off: Take time off for those big moments in life, like getting married/entering into a civil partnership, becoming a grandparent, and welcoming home a new pet.
- Family Planning: Benefit from our generous maternity and paternity leave, as well as time off and support for those undergoing fertility treatments.
Senior Data Platform Engineer in Manchester 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 in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your expertise in AWS, Python, and data pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, especially around AWS technologies and data security principles. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Platform Engineer in Manchester
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 engineering, as we want to see how you can contribute to our team.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of projects where you've built scalable data pipelines or worked with tools like Amazon SageMaker. We love seeing real-world applications of your expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you align with our mission at StudySmarter. Let us know why you're excited about this opportunity and what you can bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NCC Group plc
✨Know Your Tech Stack
Make sure you’re well-versed in the AWS technologies mentioned in the job description, like EMR, S3, and SageMaker. Brush up on your Python skills too, as you'll likely be asked to demonstrate your ability to build scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around designing and maintaining data pipelines. Use examples that highlight your experience with ETL/ELT design patterns and how you optimised performance or reduced costs.
✨Understand Data Security Principles
Since data loss prevention is a key aspect of the role, be ready to talk about how you've implemented DLP controls in your past projects. This shows you not only understand the technical side but also the importance of protecting sensitive information.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or the tools they use, like Apache Airflow or Databricks. This demonstrates your genuine interest in the role and helps you assess if the company culture aligns with your values.