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, Cloud Solutions, Data Warehousing, Data Lakes, Data Management, CI/CD Practices, Communication Skills, Agile Methodologies, Python, Data Quality, Automated Testing, Data Modeling, Data Observability

Industry

Software Development

Description

THE PLACE ITRex - AI pineers 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 Data Engineer to join a data platform project focused on modernizing and scaling analytical data pipelines. This is a hands-on role where you will contribute to the development, improvement, and support of cloud-based data solutions while working closely with experienced engineers and stakeholders. Responsibilities: Design, develop, and maintain end-to-end data pipelines: from ingestion to curated data models in a cloud data warehouse (Snowflake) Support data ingestion processes, including configuring and maintaining automated data connectors (e.g. Fivetran or similar tools) 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 Collaborate with business stakeholders and analytics users to translate requirements into reliable data models and metrics Contribute to improving data quality, observability, and documentation across the data platform Technical Skills 4+ years of experience in Data Engineering Strong SQL skills with attention to performance, readability, and maintainability Hands-on experience with dbt (models, macros, tests, documentation) Experience with ETL development and data migration projects Experience in developing and maintaining scalable ETL processes and cloud-based data solutions Understanding of Data Lakes and Data Warehousing architectures Experience working with data cataloging and data management tools Familiarity with CI/CD practices 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 Proactive mindset with the ability to take responsibility for assigned tasks Collaborative and team-oriented approach in Agile environments Ability to work independently within a defined technical 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 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 Data Engineer will design, develop, and maintain end-to-end data pipelines and support data ingestion processes. They will also contribute to the migration of existing ETL workflows and collaborate with stakeholders to translate requirements into reliable data models.