Data Engineer (Prague-based)

We are seeking a highly skilled Senior Data Engineer with over 5 years of experience to join this innovative team. The ideal candidate will possess expertise in SQL, Python, Tableau, and working with unstructured data. Fluency in English is a must.

Details:

Experience: 5+ years

Schedule: full-time remote

English: Fluent

Start: ASAP

Head office: Boston, Massachusetts

Founded in 2009

Domain: Mass Media

Team size: 5 members

About the client:

Our client is a portal, where the best minds and the best content meet on the web to learn about “What’s Next” in payments and commerce. The interactive platform is reinventing the way in which companies in payments share relevant information about the initiatives that shape the future of this dynamic sector and make news. The data and analytics team includes economists, data scientists and industry analysts who work with companies to measure and quantify the innovation that is at the cutting edge of this new world.

You have:

• 5+ years of experience in Data Engineering.
• Proficiency in SQL and Python.
• Experience with Tableau for data visualization.
• Expertise in handling and analyzing unstructured data.
• Fluency in English.
• Previous experience in the payments and commerce sector.
• Knowledge of modern data architectures and cloud platforms.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Proactive and self-motivated with a commitment to continuous learning.
• Ability to manage multiple projects and meet deadlines.
  
  
  

What to do:

• Collaborate with the data and analytics team to design and build data pipelines.
• Work with survey data to extract, transform, and load information into databases.
• Develop and maintain data architectures, including databases and large-scale processing systems.
• Utilize SQL and Python to manipulate and analyze complex data sets.
• Create interactive dashboards and visualizations using Tableau.
• Handle unstructured data to derive meaningful insights and analytics.
• Ensure data quality and integrity in all processes.