Data Engineer

TechBiz Global; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading technology recruitment firm in Berlin is seeking an experienced Data Engineer to drive data-driven innovation within their client’s teams. This role entails developing integrations, maintaining data quality while ensuring GDPR compliance, and collaborating with various teams to enhance customer experiences. Ideal candidates should have over 5 years of experience with Apache Spark and a solid understanding of cloud technologies. A hybrid work model is offered.

Leistungen

Coaching and training opportunities

Sports Subscription

German classes

€1000 yearly self-development budget

Qualifikationen

• 5+ years of experience as a Data Engineer.
• 3+ years with Apache Kafka.
• Strong proficiency in SQL.
• Experience with CI/CD processes.
• Hands-on experience with cloud technologies.

Aufgaben

• Develop integrations between systems.
• Design and own data processing workflows.
• Analyze customer data and extract insights.
• Collaborate with cross-functional teams.

Kenntnisse

Apache Spark using Python and Scala

Apache Kafka

SQL

CI/CD processes

Cloud technologies (AWS, GCP, or Azure)

Terraform

Tools

AWS (S3, EKS, Quicksight)

Databricks

DocumentDB

Jobbeschreibung

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At TechBiz Global, we provide recruitment services to our TOP clients from our portfolio. We are currently seeking a Data Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

The Role

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 in powering our business processes and enhancing customer experiences through effective data utilization. Our focus areas include:

• Developing integrations between systems.
• 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.
• Integration Tools & APIs: Segment.io, Blueshift, Zendesk, Google Maps API, and other external systems.

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.

Ideal Profile

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.
• Management experience or Tech Lead experience.
• 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.

Nice to have

• Hands-on experience with Databricks.
• Experience with document databases, particularly Amazon DocumentDB.
• Familiarity with handling high-risk data.
• Exposure to BI tools such as AWS Quicksight or Redash.
• Work experience in a Software B2C company, especially in the FinTech industry.

What we offer

Our goal is to set up a great working environment. Become part of the process and:

• Shape the future of our organization as part of the international founding team.
• Take on responsibility from day one.
• Benefit from various coaching and training opportunities, including a Sports Subscription, German classes, and a €1000 yearly self-development budget.
• Work in a hybrid working model from the comfortable Berlin office.

What's on Offer?

• Work within a company with a solid track record of success.