At a Glance
- Tasks: Design and optimise scalable data pipelines for advanced analytics and machine learning.
- Company: Join a leading Cyber Services company in London with a focus on innovation.
- Benefits: Flexible working, generous holiday allowance, and financial security benefits.
- Other info: Dynamic team environment with opportunities for community involvement and personal growth.
- Why this job: Make a real impact by enabling data-driven decisions with cutting-edge technology.
- Qualifications: Strong AWS data engineering experience and proficiency in Python required.
The predicted salary is between 60000 - 80000 £ 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 Programme: 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer
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We think you need these skills to ace Senior Data Platform Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at NCC Group plc
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
