Data Engineer (Remote) at TechBiz Global GmbH
Roma, Lazio, Italy -
Full Time


Start Date

Immediate

Expiry Date

20 Jun, 25

Salary

0.0

Posted On

21 Mar, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Code, Data Engineering, Jira, Analytics, Infrastructure, Platforms, Python, Customer Data, Azure, Customer Experience, Bitbucket, Scala, Apache Kafka, Agile Environment, Google Maps Api, Cloud, Aws, Collaboration, Zendesk, Apache Spark

Industry

Information Technology/IT

Description

About TechBiz Global TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.

About the Data Solution Team As a Data Engineer, you will join our Data Solution Team, which drives our data-driven innovation. The team is pivotal to powering our business processes and enhancing customer experiences through effective data utilization. Our focus areas include:

  • Developing integrations between systems.
  • Analyzing customer data to derive actionable insights.
  • Improving customer experience by leveraging statistical and machine learning models. Our tech stack includes:
  • Cloud & Infrastructure: AWS (S3, EKS, Quicksight, and monitoring tools).
  • Data Engineering & Analytics: Apache Spark (Scala and PySpark on Databricks), Apache Kafka (Confluence Cloud).
  • Infrastructure as Code: Terraform.
  • Development & Collaboration: BitBucket, Jira.
  • Integration Tools & APIs: Segment.io, Blueshift, Zendesk, Google Maps API, and other external systems

As A Data Engineer, You Will

  • Design, build, and own near-time and batch data processing workflows.
  • Develop efficient, low-latency data pipelines and systems.
  • Maintain high data quality while ensuring GDPR compliance.
  • Analyze customer data and extract insights to drive business decisions.
  • Collaborate with Product, Backend, Marketing, and other teams to deliver impactful features.
  • Help Data scientists deliver ML/AI solutions.

Requirements

  • 5+ years of experience as a Data Engineer, with expertise in Apache Spark using Python and Scala.
  • 3+ years of experience with Apache Kafka.
  • Strong proficiency in SQL.
  • Experience with CI/CD processes and platforms.
  • Hands-on experience with cloud technologies such as AWS, GCP or Azure.
  • Familiarity with Terraform.
  • Comfortable working in an agile environment.
  • Excellent problem-solving and self-learning skills, with the ability to operate both independently and as part of a team.
Responsibilities

Please refer the Job description for details

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