Senior Consultant - Data Engineering & AI Data Products; m​/w​/d

You are interested in the position as Senior Consultant
- Data Engineering & AI Data Products (m/w/d) at Data Reply GmbH?

Please note that this position requires EU work authorization.

Language:
English
- Fluent (C1), German
- Fluent (C1)

• Educational Background:
  Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.
• Project experience and interest in data engineering, e.g., with data products, data modeling, AI, and/or data warehousing systems.
• Experience with at least one programming language—ideally Python—as well as SQL/No
  
  SQL and a data engineering technology or platform such as dbt, Snowflake, Databricks, etc.
• Experience with Docker, cloud technologies, Dev Ops practices, and CI/CD processes is an advantage.
• In-depth understanding and specific knowledge of data products, data modeling, data warehousing, data engineering, and modern data & AI architectures. Experience with Dimensional & Data Vault modeling is an advantage.
• The ideal candidate is a strong, communicative team player who thinks in terms of solutions and actively offers them in a consulting capacity.
• Passion for learning and exploring new technologies is essential.
• Openness to hybrid work and regular visits in our office, twice a week

As a Senior Consultant
- Data Engineering & AI Data Products (m/f/d), you will support our team in developing modern data solutions and optimizing how our clients use data. Your goal is to design scalable and efficient data architectures while integrating new data management technologies and software engineering tools into existing systems.

• Supporting the design and implementation of robust and scalable Data Products, data architectures, data platforms, and AI-ready pipelines
• Developing and maintaining pipelines for data transformation, data integration, and data delivery for analytics, machine learning, GenAI, and reporting use cases, using various data sources and technologies such as SQL, Python, dbt, Snowflake, Databricks, and cloud platforms such as AWS, Azure, or Google Cloud
• Gathering business and technical requirements from clients and translating them into effective Data Engineering, Data Product, and Data & AI solutions
• Supporting topics such as data governance, data quality, Data Product operating models, and the production-oriented delivery of data for AI use cases
• Guiding and mentoring junior consultants while fostering a culture of continuous learning across the company

As part of an interdisciplinary team, you will not only shape technical solutions but also actively contribute to the company culture through your consulting mindset, commitment, and passion for innovation.

• Work in a great multicultural team, on interesting projects with new technologies.
• Take an active role in shaping the consulting business, with opportunities to contribute to areas such as HR, sales, marketing, and project staffing.
• Enjoy regular team-building events throughout the year that strengthen collaboration and team spirit.

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.