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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

  1. Participating in all aspects of data platform lifecycle, including high level design, architecture definition, implementation, testing and deployment.
  2. Curating complex datasets to prepare for either ML modeling or to be used for analytical work
  3. Designing and building ETL pipelines to include data from a wide variety of sources.
  4. Work collaboratively within cross-functional Teams (Analysts, Account Manager, Client Managers)
  5. Implement solutions on the Cloud (we work on all 3 Clouds, AWS/GCP/Azure)
  6. 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)
If you want to be in a team that respects you, make an impact with your projects and learn new technologies and strategies through your work and trainings, then you should apply today. View more about Margera and learn how we make this happen.

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