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Cloud Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience with Azure, AWS, GCP, Strong knowledge in SQL and Python, Familiarity with ETL process.

Key responsabilities:

  • Design and develop data pipelines
  • Utilize programming languages for ETL
  • Collaborate with stakeholders on data inquiries
  • Stay updated on Data Engineering technologies
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Algorhythm
51 - 200 Employees
See more Algorhythm offers

Job description

togaether, one single straightforward word with a playful touch representing our mission and principles in a concise manner. togaether is a scale-up specialized in building modern data platforms, where raw data is collected (to gather) and transformed into reliable information. We consider good collaboration (together), both within our organization and in our relationships with clients and external partners, as the key to success. togaether fosters a people-oriented culture, characterized by approachability, transparent communication, and an interactive platform.

For our sustainable growth, we are constantly looking for experienced Data Engineers to strengthen our team. Within togaether, we support a wide spectrum of technologies, allowing us to offer the best solution for every type of client. We provide expertise in Azure, AWS, GCP, Snowflake, Databricks, and Python.


Who is our brand new Cloud Data Engineer

As a Cloud Data Engineer, you are a valuable addition to our team. You are the point of contact for colleagues with less experience and are ready to support the further development of one of our technical competence centers. Your proactivity defines you, and you are always ready to share your passion and knowledge of cloud technologies with clients and colleagues.


Your key responsibilities include:


  • Designing and developing data pipelines.
  • Utilizing SQL, Python, and/or other programming languages to develop the necessary ETL infrastructure.
  • Actively collaborating with various stakeholders (management, product owners, IT, business, etc.) to address all their data-related questions.
  • Being knowledgeable about new technologies and innovations in the field of Data Engineering, being technologically flexible, and enjoying expanding your knowledge. At togaether, we provide excellent training opportunities, but we also encourage your own initiative.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Collaboration
  • Proactivity

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