Data Engineer - AWS, Data warehousing, ETL, Machine Learning
6 Month FTC
Hybrid from London Office
£55,000 - 60,000 plus company benefits
Exciting Data Engineer Opportunity in the Rail Sector - Drive Machine Learning Innovation! Are you a passionate and experienced Data Engineer eager to make a significant impact?
Join a leading UK rail organisation undergoing digital transformation. They are at the forefront of innovation and seeking a talented Data Engineer to join their growing Machine Learning team. This is a fantastic chance to contribute to a company embracing new technologies to enhance operations and customer experience. Their modern plans make this an ideal time to bring your expertise. About the Role: Our client has an exciting 6-month FTC opening for a Mid-Level Data Engineer within their Digital and Innovation department's Machine Learning team. You will be key in driving Machine Learning and AI initiatives within a vital area of the rail network. The Machine Learning team develops predictive solutions for critical decision-making across various internal teams. You'll also collaborate on data literacy and identify opportunities for leveraging ML and AI to improve efficiency and innovation. As a vital member, your main focus will be building robust data pipelines and ETL processes to enable statistical machine learning models addressing key business challenges. This role is a key contributor to a project rolling out an ML solution across multiple train operating companies. Your Key Responsibilities:
- Provide technical support for data acquisition across multiple Train Operating Companies.
- Develop efficient data ingestion and ETL pipelines for multi-operator ML models.
- Manage and monitor the performance and reliability of ML pipelines.
- Mentor team members on best practices for efficient data ingestion and quality monitoring. What You'll Need to Succeed:
- Extensive experience with cloud-based data ingestion pipelines (e.g., Glue, lambda, athena, Redshift, RDS, kinesis).
- Strong understanding of data ingestion, data modelling, data warehousing, and building scalable data pipelines.
- Significant professional experience as a Data Engineer on various in-house projects.
- Proficiency in SQL, Python, and cloud platforms (e.g., AWS, Big Query), with strong coding, tuning, testing, and troubleshooting skills.
- Expertise in data modelling and end-to-end development of tested ETL pipelines and infrastructure as code in a cloud environment.
- Proven experience leading medium to large-scale data warehousing and analytics using cloud technologies (e.g., Redshift, S3, EC2, RDS, Glue, Athena, and other big data tools).
- Excellent data management practice, including dataset versioning, dictionary keeping, and data documentation. Bonus Points:
- Experience in deployment, execution, and operations of automated CI/CD data pipelines.
- Experience building distributed systems for data extraction, ingestion, and processing multiple resources.
- Familiarity with a Unix environment.
- Previous experience working with data scientists (desirable, but not essential)
Analytics Engineer/ Lead data Engineer / Senior Data Engineer / Machine Learning Engineer / ETL Developer / Datawarehouse Developer
Your application with Sentinel Sentinel is an award-winning technology recruitment and consulting company with offices in the UK, Czech Republic, and Switzerland. We work with global brands, ambitious start-ups, and leading recruitment outsourcers, ensuring access to exceptional talent through permanent, contingent labour, and statement of work services. Get in touch today for new opportunities, or guidance on sourcing strategies, salary and rate benchmarking. We aspire to provide great service to all applicants. If we think you're right for the role, we'll be in touch as soon as possible. If not, we'll keep you updated with other opportunities in your field. To apply for this role or more information, please apply with your up to date CV below or email lewis.parkhurst@sentinelit.com
