Data Engineer (Data & Analytics)

TL;DR

Data Engineer: Designing and implementing scalable data pipelines and architectures with an accent on data quality, reliability, and security across platforms. Focus on optimizing data workflows for efficiency and performance, as well as participating in innovation initiatives within the Data & Analytics domain.

Location: Remote. Bulgaria, Poland, and other locations listed are company locations, not restrictions.

Company

DataArt’s Data & Analytics Competence Center specializes in designing and implementing cutting-edge data and analytics solutions for mid to large-sized organizations.

What you will do

• Design, develop, and implement scalable data pipelines and architectures.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Ensure data quality, reliability, and security across platforms.
• Optimize data workflows for efficiency and performance.
• Participate in innovation initiatives within the Data & Analytics domain.

Requirements

• Proven experience in data engineering and handling large-scale data systems.
• Strong knowledge of data processing frameworks and tools (e.g., Apache Spark, Kafka).
• Proficiency in SQL and programming languages such as Python, Java or Scala.
• Understanding of cloud platforms such as AWS, Azure, or GCP.
• Excellent problem-solving and communication skills.
• Ability to work independently and in a team-oriented environment.

Culture & Benefits

• As per the laws of your country. We do ask you to take a proper rest
• We help you to take out an insurance policy for you and your loved ones
• 10 days without a doctor's note, afterwards - as per the laws of your country
• According to the official calendar, regardless of the client’s schedule
• Two large corporate parties and many small get-togethers for colleagues
• Solving technical and everyday problems at work