Experienced Data Engineer - Python, ETL & Scalable Pipelines (Hybrid/Athens at tgndata

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, ETL, Data Engineering, Data Pipelines, Cloud Environments, Data Quality, Data Performance, Data Scale, Collaboration, Web Scraping, APIs, Data Ingestion, Orchestration Tools, Monitoring, Observability

Industry

technology;Information and Internet

Description

Ready to Engineer Data That Drives Smarter Decisions? At tgndata, we help top global brands make better pricing decisions across 30+ countries. Our data platform ingests and enriches millions of product records daily — powering advanced matching and machine learning systems at scale. We’re looking for a Mid-Level Data Engineer who loves solving complex data challenges and wants to shape how data flows through our platform. You’ll take ownership of pipelines that make raw data usable, reliable, and fast — from source to insight. 📚 What You’ll Do: Design, build, and optimize data pipelines that collect and transform large-scale product datasets. Work with Python, SQL, and modern orchestration tools to make our data ecosystem more robust and scalable. Refactor and optimize data workflows for speed, quality, and maintainability. Implement monitoring and observability (logging, alerting, data validation) to ensure reliability. Partner with the data engineer and backend teams to ship features that push our services forward. Contribute ideas to improve architecture and guide data best practices. 🔓 What You Bring: 3-5+ years of experience in Python for data engineering or ETL development. Strong understanding of SQL, relational data models, and schema design. Experience building or maintaining ETL/ELT pipelines (Airflow, Prefect, dbt, or similar). Familiarity with cloud environments (AWS, GCP, or Azure). Analytical mindset - you care about data quality, performance, and scale. Collaborative communicator who enjoys working across teams. Bonus: experience with web scraping, APIs, or data ingestion at scale. 💰 Why You’ll Love Working Here: Direct impact - your pipelines power decisions used by leading global brands. Modern environment - hybrid work, flexible hours, and tech-driven culture. Continuous learning - we support courses, conferences, and certifications. Great benefits - private health insurance, 25 days paid leave + your birthday off, monthly lunch allowance, and social team events. A friendly team that values curiosity, ownership, and pragmatic problem-solving. ABOUT tgndata® 🌐Learn more at tgndata.com At tgndata, we're on a mission to revolutionize pricing intelligence for Retail and E-commerce. Our SaaS platform empowers brands and retailers in over 30 countries to monitor markets in real-time, optimize pricing strategies, and stay ahead of the competition. Recognized as the Best BI & Analytics Tool of 2024 by the German Ecommerce Awards. Trusted by some of the biggest global brands, we combine cutting-edge technology, scalable data infrastructure, and deep market expertise to deliver powerful, actionable insights. From advanced web crawling to high-volume data processing and machine learning - our solutions help our customers unlock real value, fast. We're growing fast and building bold. Join us and be part of what's next!

Responsibilities

Design, build, and optimize data pipelines that collect and transform large-scale product datasets. Implement monitoring and observability to ensure reliability and partner with teams to ship features that enhance services.