Embedded Data Engineer - ML

Trainline
London
Workplace: HybridFull timeGBP 60,000 - 67,500 annuallyFunction: Hardware, Embedded & Systems EngineeringSkills: ["Collaboration","Problem-solving"]

Build and maintain scalable data pipelines, data models, and feature stores that power ML workloads within the ML domain. Deploy and operate cloud-native data applications on AWS using CI/CD, ensuring production reliability through observability and engineering best practices. Partner with Machine Learning Engineers and Data Scientists to deliver reliable, well-structured datasets for analytics and machine learning use cases, while aligning with the wider data engineering and analytics community.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Trainline
Trainline
23 minutes ago

Embedded Data Engineer - ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 minutes agoStatus: Live

Job Summary

Build and maintain scalable data pipelines, data models, and feature stores that power ML workloads within the ML domain. Deploy and operate cloud-native data applications on AWS using CI/CD, ensuring production reliability through observability and engineering best practices. Partner with Machine Learning Engineers and Data Scientists to deliver reliable, well-structured datasets for analytics and machine learning use cases, while aligning with the wider data engineering and analytics community.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering

Key Responsibilities

  • •Design and build scalable data pipelines, data models, and feature stores for analytics and machine learning workloads in the ML domain.
  • •Deploy and maintain cloud-native data applications on AWS using CI/CD pipelines to automate builds, testing, and releases.
  • •Maintain production data pipeline quality, performance, and reliability through observability and engineering best practices.
  • •Collaborate with Machine Learning Engineers and Data Scientists to build reliable datasets that power ML use cases.
  • •Align with the wider Data Engineering, Data Platform, and analytics community by sharing knowledge and best practices across teams.

Pay and Benefits

Salary: GBP 60,000 - 67,500 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalEquity

Key Requirements

  • •Working knowledge of Python and SQL.
  • •Experience building data pipelines for downstream machine learning workloads, including feature engineering and model training workflows.
  • •Comfort with data modelling and building data marts and warehouses in the cloud.
  • •Experience building data pipelines using Spark and Airflow (or similar) within a cloud environment such as AWS.
  • •Familiarity with real-time and batch data workloads and modern data transformation/orchestration patterns.
Experience:Machine learningData pipelines
Skills:CollaborationProblem-solving
Tech Stack:PythonSQLDBTSparkAirflowAWSCI/CDFeature storesRayParquetIcebergTerraformDockerJenkinsGitHub Actions

Company Brief

Trainline
Digital rail and coach ticketing platform offering online booking, mobile tickets, journey planning, and real-time travel information across the UK and Europe. Aggregates fares from multiple operators and provides retail and distribution services for rail travel.
Industry: TravelTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1997
WebsiteLinkedIn