- Full Time
- Remote (Remote)
Margera
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
We do not care about a prestigious university degree or social connections. We care about raw intellectual capacity and drive.
You must have:
- University degree in Software Engineering, Computer Science or similar
- Strong knowledge of Python
- Strong knowledge of SQL
- Excellent command of the Greek and English language
Bonus points for:
- Having completed relevant internships
- Strong understanding of relational databases
- Good understanding and experience of web stack/building a web application
- Experience with ML model
BENEFITS
We know that the growth of our company is 100% based on our Team and therefore we are looking for talented and really ambitious people. If you are one of those rare breeds, you will be working with a team of young, smart people in a company with a clear growth mindset.
On top of this, we offer:
- Competitive compensation
- Monthly bonus
- Discretionary annual salary increases
- Internal trainings either product specific (like Google Analytics, Microsoft PowerBI) or data in general (SQL, AI/ML foundations).
- Tech equipment (laptop and big screen)
Our hiring process consists of the following steps:
- First Interview: An initial interview to get to know each other and discuss your qualifications and experience.
- Exercise Assignment: An exercise, that will be send to you typically the same or the following day, which you need to complete and return to us within two days.
- Virtual On-Site Day (Paid): On this day, we will give you an exercise to solve in the morning, which you will present to us at the end of the day. This day is designed for you to get to know the team, understand what a typical day is like with us, and experience working together (e.g., briefing, feedback, etc.). It also provides our team the opportunity to get to know you better and discuss the exercises you have prepared.
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
We do not care about a prestigious university degree or social connections. We care about raw intellectual capacity and drive.
You must have:
- University degree in Software Engineering, Computer Science or similar
- Strong knowledge of Python
- Strong knowledge of SQL
- Excellent command of the Greek and English language
Bonus points for:
- Having completed relevant internships
- Strong understanding of relational databases
- Good understanding and experience of web stack/building a web application
- Experience with ML model
BENEFITS
We know that the growth of our company is 100% based on our Team and therefore we are looking for talented and really ambitious people. If you are one of those rare breeds, you will be working with a team of young, smart people in a company with a clear growth mindset.
On top of this, we offer:
- Competitive compensation
- Monthly bonus
- Discretionary annual salary increases
- Internal trainings either product specific (like Google Analytics, Microsoft PowerBI) or data in general (SQL, AI/ML foundations).
- Tech equipment (laptop and big screen)
Our hiring process consists of the following steps:
- First Interview: An initial interview to get to know each other and discuss your qualifications and experience.
- Exercise Assignment: An exercise, that will be send to you typically the same or the following day, which you need to complete and return to us within two days.
- Virtual On-Site Day (Paid): On this day, we will give you an exercise to solve in the morning, which you will present to us at the end of the day. This day is designed for you to get to know the team, understand what a typical day is like with us, and experience working together (e.g., briefing, feedback, etc.). It also provides our team the opportunity to get to know you better and discuss the exercises you have prepared.