Senior Data Engineer
Company
My client are a fast-growing startup revolutionising the hospitality industry by connecting businesses with a flexible, student-powered workforce. The platform enables partners—from local pubs to multinational chains—to optimise staffing in real-time, enhancing efficiency and profitability.
The Role
As a Senior Data Engineer, you'll play a pivotal role in shaping the data infrastructure. Your responsibilities will include:
- Own and evolve our data pipelines -designing, building, and maintaining ETL/ELT workflows that ensure high-quality, reliable data across the platform.
- Deploy and support production ML systems - from forecasting models to LLM-driven and agentic workflows -with proper monitoring, versioning, and CI/CD.
- Act as a go-to technical partner for production data issues - diagnosing problems, improving resilience, and keeping systems running smoothly.
- Support and mentor junior team members through code reviews, pairing, and sharing best practices.
What You’ll Bring
- Technical Expertise: Proficiency in Python and SQL; experience with data processing frameworks such as Airflow, Spark, or TensorFlow.
- Data Engineering Fundamentals: Strong understanding of data architecture, data modelling, and scalable data solutions.
- You have hands-on experience deploying and running ML systems in production, including model serving and monitoring.
- Cloud Platforms: Familiarity with AWS or Azure, including services like Apache Airflow, Terraform, or SageMaker.
- Data Quality Management: Experience with data versioning and quality assurance practices.
- You enjoy working in fast-moving environments where you can have real impact on how systems are built and scaled.
Nice to Have
- Production Experience: Experience building and maintaining data pipelines in a live environment.
- Data Storage Solutions: Familiarity with data lakes, warehousing, and other data storage patterns.
- Advanced Tools: Experience with tools like Kafka, Jenkins, Athena, or Spark.
This role will require 4 days per week onsite in the office, this is not optional and you must be open to this in order to proceed with the role.