Senior Data Engineer designing scalable data pipelines and supporting ML workloads at Trainline. Collaborating with cross - functional teams in a hybrid environment based in London.
About the role
- Data Architect leading data architecture and engineering projects within GCP and Snowflake environments for AI consulting company. Collaborate with clients to define data strategies and guide implementation teams.
Responsibilities
- Lead data architecture and engineering projects within GCP and Snowflake environments, including migration, transformation, and platform design.
- Design end-to-end data architectures (ingestion, storage, processing, and serving layers).
- Define and guide implementation of data integration, ETL/ELT strategies, and pipeline architectures.
- Develop logical and physical data models, schemas, and data structures across business domains.
- Guide clients on data strategy, architecture decisions, and best practices across GCP.
- Design and enforce data governance, security, and access control frameworks.
- Work closely with security teams to ensure data protection and compliance.
- Lead client workshops to identify data sources, flows, and requirements.
- Define future-state architectures, roadmaps, and implementation plans.
- Collaborate with cross-functional teams (data scientists, engineers, business stakeholders) to deliver data solutions.
- Evaluate and select tools, frameworks, and architectural patterns.
- Provide technical leadership and mentorship to engineering teams.
- Oversee performance optimization, scalability, and cost efficiency of data platforms.
Requirements
- 7+ years of experience in Data Engineering, Data Architecture, or Data Infrastructure roles.
- 3+ years of experience working with GCP or similar cloud platforms (AWS, Azure).
- Proven experience in designing data architectures and large-scale data platforms.
- Strong experience with GCP managed services (BigQuery, Cloud SQL, Cloud Spanner, Cloud Bigtable).
- Hands-on experience with Snowflake, including data modeling and performance optimization.
- Strong expertise in data modeling, database design, and data architecture patterns.
- Experience with ETL/ELT design, data integration, and migration from legacy systems.
- Experience working with structured, semi-structured, and unstructured data.
- Understanding of data governance, security, and compliance frameworks.
- Experience with Infrastructure as Code (Terraform, Ansible, or similar).
- Proficiency in SQL and good understanding of Python.
- Strong analytical, problem-solving, and communication skills.
- Experience working in a client-facing or consulting environment.
Benefits
- Work in a supportive team of passionate enthusiasts of AI & Big Data.
- Engage with top-tier global enterprises and cutting-edge startups on international projects.
- Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
- Accelerate your professional growth through career paths , knowledge-sharing initiatives, language classes, and sponsored training or conferences , including a partnership with Databricks , which offers industry-leading training materials and certifications.
- Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
- Participate in team-building events and utilize the integration budget .
- Celebrate work anniversaries, birthdays, and milestones.
- Access medical and sports packages , eye care, and well-being support services, including psychotherapy and coaching.
- Get full work equipment for optimal productivity, including a laptop and other necessary devices.
- Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
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