Solutions Engineering Consultant (m/w/d)

München / Düsseldorf
Solutions Engineering /
Full-time / working student /
Hybrid
„We bring Data Science to Business Action!“

You are passionate about coding and thrive on client interaction? You are looking for responsibility and crave the opportunity to steer projects from their initial conception through to their final implementation? You want to translate real business issues into data science problems to turn them into actionable business strategies? If your answer was yes, then CONVALID Analytics might be just right for you. Come and join us on this journey!

Being a Solutions Engineering Consultant at CONVALID Analytics you are a consultantsoftware engineer and data engineer at the same time. You integrate these areas to deliver seamless solutions alongside our clients. At CONVALID Analytics you are at the edge of implementing state-of-the-art data science and AI solutions to create business impact. From prototypes to production systems you accompany our clients on their journey to implementing data-driven solutions.

In each of these three core areas we require a set of skills to be fulfilled. Please note that the information hereafter depicts a perfect fit. Even if you don't meet all the requirements, we encourage you to apply for the position anyway! You do not have to meet all the criteria to be considered in our application process.

Your Consulting Skills:

    • You define core problems together with the client and translate them into technical requirements.
    • You will be in close contact throughout the entire project, adapting the project to new information.
    • You have strong storytelling skills and preparing and presenting results to higher management is no problem for you.
    • You identify new potential use cases and build sustainable client relationships.

Your Software Engineering Skills:

    • You are fluent in Python and working with libraries like SqlAlchemy, Pydantic, FastAPI, and Langchain poses no problem for you.
    • You write well-structured code and use architecture patterns to help you keep track of large projects.
    • You strive for high code quality and are not afraid to check it with linters.
    • You can confidently deploy your built software in Docker containers.
    • You test your code with Pytest which is an integral part of your programming workflow.
    • You can translate cumbersome tasks into clean CI/CD workflows using Git.
    • You convert data science notebooks into maintanable and robust production code.

Your Data Engineering Skills:

    • You handle databases effortlessly using SQL and have a wish for fast performance.
    • You use ORMs to create a seamless connection between the backend and database is a common practice
    • You already gained experience on a large cloud platforms like AWS, Azure or Google Cloud.
    • You have already gained experience in NLP and LLMs like GPT-3.5, GPT-4, Claude, Gemini, Llama 2 or similar models.

What we offer:

    • An ambitious, passionate, young team with a common goal: developing customized solutions that inspire.
    • A start-up mentality paired with an established consulting environment.
    • Exciting projects ranging from global players to high-end SMEs.
    • Hybrid working models in our modern offices in Munich and Düsseldorf.
    • Attractive compensation, transparent salary scales, and 30 days of vacation.
    • Regular events, like team off-sites, summer parties, sports groups, etc.
    • Training budgets and room for growth and development.

Minimal Requirements:

    • A bachelor's or master's degree in computer science, math, statistics, physics or related field.
    • Business-level fluency in German and English.
    • Openness to occasional travel and general flexibility.
€66,000 - €74,000 a year
Your salary is based on the experience you bring with you. For junior positions, we currently offer salaries between €66,000 and €74,000 per year. We will be happy to inform you personally about salaries for senior positions.
Please note that fluent business German is essential due to the current project situation. However, we encourage you to keep an eye on our job advertisements, as this criterion may be relaxed in the future.