[Hiring] Senior Data Engineer @Remote People

Role Description

We're seeking an experienced Senior Data Engineer who combines deep pipeline and data architecture expertise with a high-ownership mindset and a genuine drive to build data infrastructure that makes the whole organisation smarter.

You'll be part of our Data & AI team, working closely with AI Engineers, BI Engineers, and business stakeholders across a remote-first organisation spread across Asia and Europe. You'll own meaningful parts of the data platform end-to-end — from architecture to reliability — with the autonomy to make technical decisions and the expectation to deliver at scale without compromising data quality or governance. Your work directly enables AI model training, business intelligence, and operational reporting: you're the foundation everyone builds on. AI tooling is a first-class part of how we work: you'll use it to accelerate data engineering work, and you'll be the quality bar on everything that ships.

Responsibilities

• Design, implement, and maintain robust, scalable data pipelines to support AI, analytics, and operational reporting
• Own and evolve the data warehouse architecture, ensuring it meets performance, flexibility, and governance needs
• Work closely with AI Engineers and BI Engineers to enable advanced modelling, data exploration, and dashboard reliability
• Ensure data integrity, availability, lineage, and observability across complex pipelines
• Define and enforce best practices in data modelling, pipeline orchestration, and data infrastructure reliability
• Champion the use of Infrastructure as Code and automation in managing data services
• Proactively address scaling bottlenecks, performance issues, and architectural challenges
• Leverage AI tools to accelerate data engineering work — and act as the quality gate on AI-generated pipeline code
• Mentor junior Data Engineers and contribute to team knowledge sharing

Qualifications

• Minimum of 6 years in Data Engineering or Software Engineering, with at least 2 years in a senior role
• Deep experience with ETL/ELT frameworks and data pipeline orchestration (e.g. Airflow, dbt)
• Strong Python and advanced SQL skills
• Hands-on experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift) and data lake architectures
• Strong understanding of data modelling, data partitioning, schema design, and performance tuning
• Solid knowledge of cloud platforms (preferably AWS) and infrastructure automation tools (e.g. Terraform)
• Experience with monitoring and observability of data pipelines
• Demonstrated, hands-on experience using AI tools to accelerate data engineering in a production context
• Ability to communicate effectively in a remote environment — clear written communication, reliable async collaboration

Preferred Skills

• Familiarity with AI/ML workflows, feature stores, and real-time data needs
• Experience implementing MLOps and DataOps best practices
• Strong stakeholder management and ability to translate business needs into data requirements
• Experience with data privacy regulations (e.g. GDPR, PII handling)
• Self-directed and self-improving: you manage your own time, define your own growth path, and hold yourself to a high bar without waiting to be told

Benefits

• A competitive salary
• An asynchronous working environment
• A "Remote-First" company environment (or Hybrid) - based on the nature of the job
• The ability to work from abroad for a short period of time
• Growth opportunities within the company
• We provide all new joiners with the necessary hardware to ensure you have the tools you need to succeed from day one

How to apply

Please fill out the form and upload your CV in a PDF format. If you don’t have an up-to-date CV but you are still keen to reach out, please feel free to add a copy of your LinkedIn profile instead. Need help? Get in touch with us at: [email protected]