🟢 We’re expanding our team and opening new remote opportunities! Review the role expectations, share your resume in English, and our team will follow up shortly.

We invite a Senior Data Engineer to join our team. In this role, you’ll leverage your expertise to design and maintain data transformation pipelines, manage databases and cloud infrastructure, and ensure data is accessible and efficiently processed. You’ll focus on performance, scalability, and security, allowing our data systems to handle growth and operate reliably in production.

🟩 What's in it for you:

Join a dynamic global tech company delivering digital merchandising solutions across 50+ markets
Work hands-on with modern data engineering tools (Snowflake, dbt, Airflow/Dagster, AWS, SQL, Node.js, and React.js/TypeScript)
Collaborate with DevOps, developers, and QA teams to solve complex data challenges and deliver high-quality, reliable data systems

✅ Is that you?

3-5+ years of experience in a Data Engineer role
Expertise in Snowflake architecture, performance tuning, and data modeling
Proficiency in dbt for modular data modeling, transformations, testing, and documentation
Experience building scalable ELT pipelines in AWS
Strong knowledge of data orchestration tools (Airflow, Dagster, Prefect, or similar)
Strong SQL skills for data transformation and analysis
Innovative mindset with the ability to implement creative solutions to complex problems
High attention to detail to ensure accurate data models, transformations, and pipelines
Strong communication skills across technical and non-technical audiences
Adaptability and effective time management skills
Upper-Intermediate+ English level

Desirable:

Bachelor’s degree in Computer Science or equivalent certifications
Full-stack development experience (TypeScript, React.js, JavaScript, Node.js, Express.js)
Experience with CMS development or digital signage solutions
Advanced knowledge of cloud security best practices
Experience in cross-functional teams with developers and QA

🧩Key responsibilities and your contribution

In this role, you’ll collaborate closely with the product team to document business needs and transform them into clear, actionable technical requirements.

Build and maintain scalable ELT pipelines for reliable data ingestion, transformation, and delivery
Design, optimize, and manage data models in Snowflake for performance, scalability, and clarity
Create and maintain DAGs to define pipeline tasks, dependencies, and schedules for automated workflows
Collaborate with DevOps to configure and manage AWS infrastructure supporting data storage, pipelines, and transformations
Monitor pipelines to resolve failures and improve stability and data quality
Document pipelines, DAGs, and models to support onboarding and knowledge sharing

🎾 What's working at Dev.Pro like?

Dev.Pro is a global company that's been building great software since 2011. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background

🌐 We are 99.9% remote — you can work from anywhere in the world
🌴 Get 30 paid days off per year to use however you like — vacations, holidays, or personal time
✔️ 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child
⚡️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
💵 We pay in U.S. dollars and cover all approved overtime
📓 Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events

Our next steps:

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer

Interested? Find out more:

Intermediate/Senior Data Engineer - OP02112

About the role