Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Principal Data Engineer at Trainline shaping robust data foundations for AI and ML-driven products. Collaborate with cross-functional teams to ensure best practices in data engineering and ML.
Responsibilities
- Act as a technical authority across multiple teams, setting standards and patterns for data and ML‑adjacent infrastructure
- Embed with ML teams to design, build and evolve data platforms supporting AI and ML workloads
- Influence technical direction without direct line management responsibility
- Partner with Data Engineering teams outside of ML to build a community and share best practices and findings across all areas
- Identify systemic issues and proactively drive improvements across the data ecosystem
- Look for short term and strategic opportunities to enhance core platforms with new self-serve enablement features for ML and DE
- Partnering with MLEs to design data pipelines supporting model training, inference and experimentation
- Designing and reviewing architectures for ML‑ready data platforms
- Building and optimising data pipelines using SQL, Spark or Ray and Python
- Defining best practices for orchestration using Airflow or similar tools
- Supporting API‑driven and event‑based data access patterns
- Working with AWS infrastructure such as ECS, vector databases and Bedrock APIs
- Reviewing designs and code across teams to raise quality and consistency
- Coaching engineers through pairing, design reviews and informal mentoring
- Collaborating on innovative AI‑powered product features such as the Travel Assistant
Requirements
- Extensive experience as a Senior, Staff or Principal Data Engineer operating across teams
- Deep expertise in SQL and Python, with strong experience in Spark or similar tooling.
- Strong understanding of orchestration tools such as Apache Airflow
- Experience designing data platforms for ML and AI workloads
- A track record of introducing new technologies and practices, and handling ambiguity and multiple stakeholders.
- Hands‑on experience with AWS infrastructure (e.g. ECS, IAM, data storage, compute)
- Familiarity with vector databases and modern AI/ML APIs (e.g. Bedrock)
- Experience working closely with Machine Learning Engineers in production environments
- Strong system design skills and the ability to influence through technical leadership
Benefits
- Private healthcare & dental insurance
- Generous work from abroad policy
- 2-for-1 share purchase plans
- EV Scheme to further reduce carbon emissions
- Extra festive time off
- Excellent family-friendly benefits
- Career growth with clear career paths
- Transparent pay bands
- Personal learning budgets
- Regular learning days
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.