Senior Data Engineer

Confirmed live in the last 24 hours

Remote People

Europe (Remote)

Hybrid

Posted April 16, 2026

Job Description

About Remote People

At Remote People, we're building the infrastructure to power borderless teams. By handling global payroll, benefits, taxes, and compliance, our technology enables businesses to hire anyone anywhere compliantly at the push of a button.

If you're interested in adding to our vision of enabling people to work in dream jobs, for every company, and from anywhere in the world, apply now!

We're committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences. We welcome applications from everyone, regardless of gender, ethnicity, sexual orientation, religion, civil or family status, age, or disability. Being part of Remote People means being part of a growing, international family.

Overview

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.

What you'll be doing

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

Requirements

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 d