Job Description:

We are seeking a talented and motivated Data Engineer to join our dynamic team in Berlin. In this role, you will be responsible for designing, developing, and optimizing scalable data pipelines and architectures that facilitate the integration and processing of large datasets from diverse sources. You will work closely with developers and data scientists to enhance and implement machine learning models, participating in the selection of suitable ML frameworks and tools such as TensorFlow and PyTorch. Additionally, you will design and maintain robust databases and data warehouses, ensuring efficient data storage and processing capabilities. You will lead data-driven projects independently, coordinating with various stakeholders to define project requirements and ensure timely delivery of results. Your expertise will also contribute to the optimization of our data infrastructure for performance, security, and scalability. Monitoring and testing mechanisms will be implemented to ensure data quality, alongside supporting the selection and implementation of appropriate tools and technologies, including cloud data platforms like AWS Redshift, Google BigQuery, and Azure Synapse Analytics.

IT Languages:

• Python
• Java
• Scala

As a Data Engineer, you will undertake the following responsibilities::

Develop, optimize, and maintain scalable data pipelines and architectures;; Build and implement ETL processes for large volume data integration;; Collaborate with developers and data scientists for machine learning model optimization;; Participate in the selection of appropriate ML frameworks and tools;; Design and maintain databases and data warehouses;; Lead data-driven projects, coordinating with stakeholders;; Optimize data infrastructure for performance and security;; Ensure data quality through monitoring and testing;; Support the selection of cloud data platforms and technologies

Spoken Languages:

• English;; German

Skillset:

• Data pipeline development
• ETL processes
• Relational databases
• NoSQL databases
• Cloud platforms
• Big Data technologies
• Apache Kafka
• Apache Airflow

Soft Skills:

• Analytical thinking
• Problem-solving skills
• Effective communication
• Collaboration
• Time management

Qualifications:

• Bachelor’s degree in computer science, Data Science, Engineering, or related field
• Several years of professional experience as a Data Engineer, preferably in consulting or a digital environment
• Strong understanding of data pipeline development and maintenance
• In-depth experience with relational and NoSQL databases, including SQL, PostgreSQL, and MongoDB
• Familiarity with cloud data platforms such as AWS, Google Cloud, and Azure
• Knowledge of Big Data technologies like Hadoop and Spark, as well as tools like Apache Kafka and Airflow
• Proficiency in programming languages such as Python, Java, or Scala
• Business fluent in both German and English

Years of Experience:

5

Location:

Berlin, Berlin, Germany, EU

Job Benefits:

• Competitive salary
• Flexible working hours
• Professional development opportunities
• Health and wellness programs
• Collaborative work environment

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• Our company fosters a culture of innovation and collaboration, where every team member's contribution is valued. We embrace a supportive environment that encourages continuous learning and professional growth. We prioritize work-life balance and strive to create a workplace that is inclusive and diverse.

Opportunities For Advancement:

• Career growth within the data engineering team, Opportunities to lead projects, Access to training and certifications

Visa Sponsorship:

Available