Senior Data Engineer (m/f/d) at Data Reply GmbH

Requirements

Educational Background: Bachelor’s or master’s degree in CS, Engineering, Data Science, or a related field.
Significant Experience: Proven experience in a data engineering role, with scaling and managing data pipelines.
Expertise in Programming: Proficiency in programming languages such as Java Kotlin or Scala
Big Data Technologies: Expert knowledge of big data technologies (e.g., Hadoop, Spark) and data modeling.
Cloud Platforms: Strong experience with cloud services like AWS, Azure, or Google Cloud, including the design and deployment (GitOps) of scalable cloud-based data systems.
Data Lakes: Knowledge and understanding of Data Lakes / Lakehouse building tradeoffs and optimization
Analytical Skills: Strong ability to analyze data and enhance data quality and efficiency.
Leadership Qualities: Demonstrated leadership skills with the ability to drive projects, mentor teams, and manage stakeholders.
Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams and explain complex technical details in a clear, understandable manner.

Scope of Work

Architecture Design: Architect and develop advanced data models and database management systems that support scalable, efficient, and robust data operations.
Data Pipeline Management: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices.
Data Integration Leadership: Develop and manage a team to implement complex data projects involving multiple data sources and high volumes of data.
Advanced Analytics Infrastructure: Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS, Azure, or Google Cloud big data technologies.
Technical Mentoring: Guide and mentor junior data engineers in their roles. Encourage continuous learning and development of the team.
Stakeholder Engagement: Collaborate with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Project Management: Oversee the timeline and deliverables for data infrastructure projects, ensuring they align with business goals.
Innovation and Strategy: Evaluate new technologies and analytics tools to improve and optimize the performance of data handling and processing.

Benefits

Professional Development
Events
Mobile Phone
Health Program
Flexible Working Hours
Pension Plan
Discounts
Well-Connected by Public Transport
Parking

Applicant Location Requirements

ON SITE

in München (Germany).

About Data Reply GmbH

Core Tech: AWS, Kafka, Spark, Elastic, Kubernetes, Flink, Cloud 👩‍💻

Core Topics - We are looking for experts in each:

Data & Machine Learning Engineering
Event-Driven & Streaming Applications
Modern Data Architecture & Data Analytics Platforms

Data Engineer? ML Engineer? Platform Engineer? Streaming App Developer? - We are all Big Data Developers / Architects

Data Reply is the Reply group company offering a broad range of advanced analytics and AI-powered data services. We operate across different industries and business functions, working directly with executive level professionals and Chief Officers enabling them to achieve meaningful outcomes through effective use of data.
We support companies in designing and implementing human-centered data products to turn embryonic ideas into enterprise solutions.

We are a Reply subsidiary and a consultancy company focused primarily on the use of distributed open-source and cloud technologies in the area of Big Data.

We leverage cutting-edge, state-of-the-art technologies to help our customers get the most value out of their data. Our customers and partners include some of the most prominent companies in Germany and Europe.