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 Engineer building and maintaining core data infrastructure for Aircall's AI customer communications platform. Support data reliability and scalability for high-impact use cases.
Responsibilities
- Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
- Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
- Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
- Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
- Participate in code reviews to ensure code quality and share knowledge.
- Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
- Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
- Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
- Proficient in SQL and Python, with the ability to translate complexity into efficient code.
- Experience with data workflow development and management tools (dbt, Airflow).
- Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
- Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
- Experience with data tooling, data governance, business intelligence and data privacy is a plus.
Benefits
- Medical, dental, and vision insurance is 100% covered
- 401k plan with company matching!
- Unlimited PTO — take the time you need to come to work feeling great!
- Wellness, internet, and childcare reimbursements
- Generous parental leave policy
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