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Solution Architect (f/m/d)

ONIQ GmbH

Köln

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

A tech company in digital transformation is seeking a Solution Architect to bridge customer data with their production excellence SaaS, IQA. The ideal candidate will have strong Python skills, experience in data analysis, and a Master's degree in a relevant field. You will engage directly with customers to provide tailored solutions, develop data processing workflows, and contribute to innovative manufacturing practices. Join a team committed to sustainability and a collaborative culture in their Cologne office.

Leistungen

Flexible hours
30 days PTO
Remote work possibilities
Regular team events

Qualifikationen

  • Genuine enthusiasm for digital transformation in manufacturing.
  • Excellent organizational skills and proactive mindset.
  • Willingness to travel for customer meetings.
  • Fluency in English and German (C1 level).

Aufgaben

  • Engage with customers to prepare and integrate data.
  • Analyze manufacturing process data for onboarding.
  • Create value by exploring usage patterns.
  • Develop data processing pipelines for integration.
  • Simulate processes to generate synthetic datasets.

Kenntnisse

Python
Data analysis
Data processing
Data pipelines
Communication skills
Organizational skills
Knowledge of manufacturing processes

Ausbildung

Master’s degree in Computer Science, Engineering, Machine Learning or related fields

Tools

pandas
NumPy
simPy
Jobbeschreibung

ONIQ is on a mission to transform manufacturing for a more sustainable and efficient future. With the IQA Lean Copilot, we are pioneering a new category in industrial tech - combining lean production principles with AI, process mining, and advanced data analytics. Our software empowers manufacturers to systematically identify inefficiencies, accelerate improvements, and scale operational excellence across their global production networks.

We are a highly motivated team with a strong sense of ownership and passion for what we do. Our entrepreneurial mindset and commitment to innovation have enabled us to grow fast and shape the future of digital lean and green manufacturing. At ONIQ, culture is just as important as product. We foster an environment rooted in authenticity, diversity, integrity, and mutual respect - where everyone is encouraged to bring their whole self to work.

What you will do

You will work closely with our Customer Success and Product Development teams to help manufacturing companies generate value from their data using IQA, our SaaS solution for production excellence. As a Solution Architect, you will engage with our industrial customer to prepare, validate and integrate customer data. You’ll play a crucial role in making customer data come alive in IQA and helping manufacturers produce more efficiently than ever before. Your tasks include:

  • Being the link between data and stakeholders by engaging directly with customers
  • Analyzing, understanding, and processing manufacturing process data from our customers to enable a smooth onboarding experience
  • Creating customer value by exploring customer usage patterns to help improve our software and ensure IQA delivers measurable impact
  • Developing robust data processing pipelines and workflows that enable fast, efficient, and reliable onboarding and continuous data integration for our customers
  • Understanding customer requirements and planning for continuous data ingestion and integration to ensure seamless scalability and long-term success
  • Simulating manufacturing processes to generate synthetic datasets for demos, testing, and validation of new IQA features
What we expect from you
  • A genuine enthusiasm for driving the digital transformation of manufacturing and contributing to more sustainable production through innovative solutions like IQA
  • Excellent organizational skills and the ability to work independently with a proactive mindset and strong sense of ownership
  • Strong Python skills, including experience with data science and scientific computing libraries (e.g. pandas, NumPy, simPy)
  • Solid background in data analysis, processing, and transformation, as well as familiarity with databases and building data pipelines. Knowledge of ERP systems or IIoT platforms is a plus
  • Knowledge of manufacturing processes is a bonus
  • Willingness to travel occasionally for customer meetings and workshops
  • We love the energy that comes from working together in person, so spending time at our Cologne or Berlin office matters to us. One on-site day per week is the minimum, and more time together is always welcome whenever it works for you
  • Master’s degree in Computer Science, Engineering, Machine Learning or related technical fields
  • Excellent language skills (English and German C1)
What we offer
  • A culture built on transparency, integrity and authenticity – we trust and respect each other and make decisions based on competence
  • A fast-paced, agile environment where you can take on as much responsibility as you feel ready for and actively shape our marketing and go-to-market
  • A team that genuinely cares about collaboration and work culture: we regularly reflect on our teamwork, invest work time into team spirit and consciously create balance in everyday work
  • The opportunity to contribute to fighting climate change by helping industrial manufacturers to become more efficient and to reduce their CO₂ emissions, while we are mindful of our own environmental impact as a carbon-neutral company
  • All the benefits that make work more pleasant: flexible hours, part-time options, remote work possibilities, regular team events and offsites, 30 days PTO, weekly yoga sessions, Deutschlandticket, Urban Sports Club and more
How to apply

We'd love for you to apply even if your experience doesn't precisely match the job description. Please use our job portal for your application, we are looking forward to hearing from you! If you have any questions, please contact us at jobs@oniq.com.

About us

Learn more about ONIQ at https://www.oniq.com/.

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