Senior Data Engineer at ITRex Group

, , Poland -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, dbt, ETL Development, Data Migration, Data Warehousing, Data Lakes, Data Cataloging, CI/CD Pipelines, Communication, Collaboration, Problem Solving, Agile, Python, Data Visualization, Data Quality

Industry

Software Development

Description

THE PLACE ITRex - AI pioneers who build systems that actually work in the real world, not just in demos. We're 250+ people spread across the US and Europe, creating solutions for companies like P&G and Shutterstock. We keep it simple, build it right, and focus on what works. THE PEOPLE We're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways. We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there. THE ROLE We are looking for a Senior Data Engineer to join a data platform project focused on modernizing and scaling analytical data pipelines. This is a hands-on role with strong ownership, where you will contribute to both day-to-day delivery and longer-term technical direction. Responsibilities: Design, develop, and maintain end-to-end data pipelines: from ingestion to curated data models in a cloud data warehouse (Snowflake) Own and support data ingestion processes, including configuring and maintaining automated data connectors (e.g. Fivetran or similar tools) Lead and contribute to the migration of existing ETL workflows to dbt, ensuring logic parity, performance improvements, and better maintainability Develop well-structured, modular dbt models, macros, and tests following best practices Participate in architectural discussions and help shape standards for data modeling, testing, and deployment Work closely with business stakeholders and analytics users to translate requirements into reliable data models and metrics Improve data quality, observability, and documentation across the data platform Technical Skills 5+ years of experience in Data Engineering Advanced SQL skills with a focus on performance, readability, and maintainability Strong, hands-on experience with dbt is required (models, macros, tests, documentation, environments) Strong background in data migration, ETL development, and implementing new technologies Proven skills in developing and maintaining scalable ETL processes and cloud-based solutions Experience in building and optimizing Data Lakes and Data Warehousing architectures Hands-on experience in data cataloging and management systems Proficiency in building CI/CD pipelines for data deployment and automated testing Business & Collaboration Experience working with cross-functional teams and business customers Excellent communication skills, both verbal and written, with an ability to convey information clearly and concisely Strong sense of ownership and a proactive approach to owning and solving problems Collaborative mindset, effective in Agile cross-functional environments Self-driven and proactive, able to operate independently within a defined framework English proficiency: Upper-intermediate and above Nice to have: Proficiency in Python for data engineering and data analytical tasks Familiarity with ETL tools like Fivetran Experience with data visualization tools such as Tableau, Power BI, or ThoughtSpot Hands-on experience ensuring data quality Why people stay First, the foundation: Remote flexibility: Work where and how you work best - we trust you to deliver Fair compensation: Competitive salary + benefits that matter (medical, wellness, learning) Then, the growth: Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them Learning investment: English classes, professional development, well-being support Career progression: Real paths up, not just sideways shuffling Finally, the people: Reliable teammates: No radio silence, no "not my problem" attitudes Supportive culture: When you're stuck, people help. When things break, we fix them together Human connections: Regular meetups, tech talks, and actual relationships beyond work Curious? We are too. Let's talk

Responsibilities

The Senior Data Engineer will design, develop, and maintain end-to-end data pipelines, focusing on ingestion to curated data models in a cloud data warehouse. They will also lead the migration of existing ETL workflows to dbt and improve data quality and documentation across the data platform.