Senior Data Engineer (AI-Native) - Data Layer
people+
/job-details/12538
At
**people+**
, we are supporting our client
**Proton.ai**
in expanding their engineering team and are looking for a
**Senior Data Engineer**
to join them remotely from Europe.
**Proton.ai**
is building the AI operating system for wholesale distribution, an industry responsible for moving nearly every physical product around the world. Their platform unifies CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one ecosystem, helping distributors automate manual work and enabling sales teams to focus more on their customers.
This is an opportunity for an experienced data engineer who wants to work in an
**AI-native engineering environment**
, build complex data systems from the ground up, and help shape the foundation that powers Proton.ai’s products and AI capabilities.
**Location:**
Remote, Europe, with meaningful daytime overlap with the Boston team required
**Compensation:**
90K - 105K (dependent on seniority and experience)
**What you’ll do**
- Own the Data Layer end-to-end, from ingestion and data modeling to the serving layer that powers Proton.ai’s products and AI systems
- Build new data systems and pipelines from the ground up, taking ownership of architecture, implementation, deployment, and production operations
- Build and operate reliable ingestion and transformation pipelines using modern orchestration tools and cloud data warehouse technologies
- Work with large and complex datasets from multiple sources, including files, APIs, and streaming events
- Design and maintain data models using
**medallion architecture**
, organizing data across raw, refined, and curated layers
- Build systems for data validation, reconciliation, lineage, backfills, and incremental processing
- Investigate and resolve data quality issues, ensuring that information is accurate and consistent across systems
- Help improve the architecture, tooling, scalability, and overall development of the Data Layer
- Use AI coding agents as an integral part of the daily development process, while reviewing and validating their output
- Collaborate with backend, AI, and product engineers, and occasionally with customers’ IT teams, to define data requirements and contracts
**What we’re looking for**
- **7+ years of hands-on experience specifically in data engineering**
, with a clear career track record as a Data Engineer and demonstrated ownership of production data pipelines, models, and platforms
- **Hands-on experience with medallion architecture is required**
, including building and maintaining raw, refined, and curated data layers
- **Proven experience building data systems from scratch**
, taking ownership from initial architecture and design through implementation, deployment, and production operations
- **English proficiency at C1 level or above**
- **Daily hands-on use of AI development tools is a must,**
including Claude Code, Cursor agent mode, Codex, or similar agentic tools
- Strong programming and SQL skills, including the ability to design efficient pipelines, schemas, and queries
- Experience building and operating ingestion and ELT pipelines using orchestration tools
- Experience with a cloud data warehouse and a major cloud platform
- Hands-on experience working with multiple data sources, including
**files, APIs, and streaming events**
- Strong understanding of data modeling for transactional and analytical use cases
- Ability to investigate data quality issues, troubleshoot inefficient pipelines, and understand query performance
- Experience managing challenges such as partial loads, late or out-of-order data, schema changes, backfills, and idempotency
- Ability to guide AI agents, structure context, review their output, and take responsibility for production-quality results
- Strong ownership, sound judgment, and the ability to take data systems from idea to production
- A practical, proactive mindset and the ability to work in a fast-moving startup environment
- Strong written and verbal communication skills, with the ability to explain data decisions to technical and non-technical stakeholders
**Big plus**
- Deep experience with cloud data warehouses and modern data transformation tools
- Experience with streaming and event ingestion at scale
- Experience integrating enterprise systems such as ERP or eCommerce platforms and reconciling complex transactional data
- Experience building data systems that support AI, machine learning, or agentic products
- Previous experience in an early-stage SaaS or startup environment
If you’re a data engineer with
**experience building data platforms from scratch, working with medallion architecture, and using AI as part of your daily development workflow**
, we’d like to hear from you.
**Apply and become part of the growing engineering team at Proton.ai.**
**people+**
, we are supporting our client
**Proton.ai**
in expanding their engineering team and are looking for a
**Senior Data Engineer**
to join them remotely from Europe.
**Proton.ai**
is building the AI operating system for wholesale distribution, an industry responsible for moving nearly every physical product around the world. Their platform unifies CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one ecosystem, helping distributors automate manual work and enabling sales teams to focus more on their customers.
This is an opportunity for an experienced data engineer who wants to work in an
**AI-native engineering environment**
, build complex data systems from the ground up, and help shape the foundation that powers Proton.ai’s products and AI capabilities.
**Location:**
Remote, Europe, with meaningful daytime overlap with the Boston team required
**Compensation:**
90K - 105K (dependent on seniority and experience)
**What you’ll do**
- Own the Data Layer end-to-end, from ingestion and data modeling to the serving layer that powers Proton.ai’s products and AI systems
- Build new data systems and pipelines from the ground up, taking ownership of architecture, implementation, deployment, and production operations
- Build and operate reliable ingestion and transformation pipelines using modern orchestration tools and cloud data warehouse technologies
- Work with large and complex datasets from multiple sources, including files, APIs, and streaming events
- Design and maintain data models using
**medallion architecture**
, organizing data across raw, refined, and curated layers
- Build systems for data validation, reconciliation, lineage, backfills, and incremental processing
- Investigate and resolve data quality issues, ensuring that information is accurate and consistent across systems
- Help improve the architecture, tooling, scalability, and overall development of the Data Layer
- Use AI coding agents as an integral part of the daily development process, while reviewing and validating their output
- Collaborate with backend, AI, and product engineers, and occasionally with customers’ IT teams, to define data requirements and contracts
**What we’re looking for**
- **7+ years of hands-on experience specifically in data engineering**
, with a clear career track record as a Data Engineer and demonstrated ownership of production data pipelines, models, and platforms
- **Hands-on experience with medallion architecture is required**
, including building and maintaining raw, refined, and curated data layers
- **Proven experience building data systems from scratch**
, taking ownership from initial architecture and design through implementation, deployment, and production operations
- **English proficiency at C1 level or above**
- **Daily hands-on use of AI development tools is a must,**
including Claude Code, Cursor agent mode, Codex, or similar agentic tools
- Strong programming and SQL skills, including the ability to design efficient pipelines, schemas, and queries
- Experience building and operating ingestion and ELT pipelines using orchestration tools
- Experience with a cloud data warehouse and a major cloud platform
- Hands-on experience working with multiple data sources, including
**files, APIs, and streaming events**
- Strong understanding of data modeling for transactional and analytical use cases
- Ability to investigate data quality issues, troubleshoot inefficient pipelines, and understand query performance
- Experience managing challenges such as partial loads, late or out-of-order data, schema changes, backfills, and idempotency
- Ability to guide AI agents, structure context, review their output, and take responsibility for production-quality results
- Strong ownership, sound judgment, and the ability to take data systems from idea to production
- A practical, proactive mindset and the ability to work in a fast-moving startup environment
- Strong written and verbal communication skills, with the ability to explain data decisions to technical and non-technical stakeholders
**Big plus**
- Deep experience with cloud data warehouses and modern data transformation tools
- Experience with streaming and event ingestion at scale
- Experience integrating enterprise systems such as ERP or eCommerce platforms and reconciling complex transactional data
- Experience building data systems that support AI, machine learning, or agentic products
- Previous experience in an early-stage SaaS or startup environment
If you’re a data engineer with
**experience building data platforms from scratch, working with medallion architecture, and using AI as part of your daily development workflow**
, we’d like to hear from you.
**Apply and become part of the growing engineering team at Proton.ai.**
