Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field., Proficiency in Python and SQL, with experience in data engineering tools., Familiarity with cloud platforms such as AWS, GCP, or Azure., Experience in building ETL pipelines and working with machine learning models..

Key responsabilities:

Participate in the entire data platform lifecycle, from design to deployment.

Curate complex datasets for machine learning and analytical purposes.

Design and build ETL pipelines integrating diverse data sources.

Collaborate with cross-functional teams including analysts and client managers.

Job description

Margera is a boutique analytics agency founded by an x-Googler. We help Enterprise companies grow through the use of data and analytics. We are proud to support top companies in various industries such as banks (Eurobank, Piraeus Bank, Astrobank), travel-related (Aegean Airlines, Sani/ikos Hotels), tobacco (Philip Morris in 6 countries) and gaming (OPAP, Stoiximan, novibet). Our main services are Digital Analytics (we are the only Google Analytics Sales Partner in Greece/Cyprus), Data warehousing (on-prem or on the Cloud), BI and Machine Learning.

We have an ambitious growth plan (x5 in 3 years) and we are looking for a professional who will be joining our Data Engineering Team.

Typical responsibilities for this role would be

Participating in all aspects of data platform lifecycle, including high level design, architecture definition, implementation, testing and deployment.
Curating complex datasets to prepare for either ML modeling or to be used for analytical work
Designing and building ETL pipelines to include data from a wide variety of sources.
Work collaboratively within cross-functional Teams (Analysts, Account Manager, Client Managers)
Implement solutions on the Cloud (we work on all 3 Clouds, AWS/GCP/Azure)
Work with tools and technologies such as Python, SQL, Google BQ, Data Studio, ML libraries

Required profile