Senior Data Engineer (EMEA, remote)
Remote- Remote, Larnaka, Cyprus
Product
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
Job requirements
We do not care about a prestigious university degree or social connections. We care about raw intellectual capacity and drive.
You must have:
- Min 3 years of relevant work experience
- University degree in Software Engineering, Computer Science or similar
- Working experience using python on data and data-related libraries (eg. TensorFlow, NumPy, SciPy, Pandas, etc)
- Experience and expertise with relational databases for data handling and query optimisation
- Experience on bringing data pipelines into production
- Experience of Data modeling, schema definition, data warehouse design, data lake concepts and practices
- Extensive hands on experience in processing large amount of data from various sources in a programmatic way
- Experience with latest software engineering practices (source code management - git, integration and performance testing, CI/CD)
Excellent command of the English language- Comfortable with working independently and taking ownership
Bonus points for:
- Experience with ML models
- Understanding of online advertising space
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)
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