Note: The job is a remote job and is open to candidates in USA. NCC Group is a global cybersecurity company that assesses, develops, and manages cyber threats. They are seeking a Senior Data Platform Engineer to design and build scalable data pipelines that support advanced analytics and machine learning solutions.
Responsibilities
- Designing, building, and optimising scalable data pipelines that power advanced analytics and machine learning solutions
- 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
- Ensure solutions are scalable, resilient and cost-efficient
- Embed data loss prevention (DLP) principles and controls into data pipelines to protect sensitive information
- Ensure data is reliable, accessible, well-governed and optimised for downstream consumption
Skills
- 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)
- 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
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.
Company Overview