Data Analytics Engineer
Vor 2 Tagen
About ONIQ
ONIQ is on a mission to transform manufacturing for a more sustainable and efficient future. With IQA, our Production Excellence Software, 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 bring their data into IQA, our SaaS solution for digital lean management. As a Data Analytics Engineer, you will be responsible for the preparation, validation and integration of customer data. You will play a crucial role in making customer data come alive in IQA and helping manufacturers run more efficiently than ever before. Your tasks include:
Analyzing, understanding, and processing manufacturing process data from our customers to enable a smooth onboarding experienceDeveloping robust data processing pipelines and workflows that enable fast, efficient, and reliable onboarding and continuous data integration for our customersCreating customer value by exploring customer usage patterns to help improve our software and ensure IQA delivers measurable impactBeing the link between data and people by engaging directly with customers to gather data, understand requirements, and plan for ongoing data ingestion and integrationSimulating manufacturing processes to generate synthetic datasets for demos, testing, and validation of new IQA featuresWhat we expect from you
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 familarity with databases and building data pipelines. Knowledge of ERP systems or IIoT platforms is a plusA genuine enthusiasm for driving the digital transformation of manufacturing and contributing to more sustainable production through innovative solutions like IQAExcellent organizational skills and the ability to work independently with a proactive mindset and strong sense of ownershipWillingness to travel occasionaly for customer meetings and workshopsMaster's degree in Computer Science, Engineering, Machine Learning or related technical fieldsExcellent language skills (English and German C1)Some knowledge of manufacturing processes is a bonusWe 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
What we offer
We work differently, we highly value transparency, integrity and authenticity. We trust and respect each other, which leads to a very collaborative working environment where we ensure that everyone can contribute ideas and decisions are made based on competency.We are agile and fast paced, you will have the opportunity to take on as much responsibility as you want to and go beyond your job description to push your personal and our progress. We truly care about work culture and make it a priority by regularly spending time reflecting on our teamwork, by actively committing work time to keep our strong team spirit and by incorporating activities into the workday to create balance.We contribute to fighting climate change by helping our industrial manufacturing customers reduce their carbon emissions with our products, by being aware of our own environmental impact and by being carbon neutral as a company.All other benefits that make work more pleasant like flexible hours, part-time options, possibility to work remote, regular team events and offsites, 30 days PTO, weekly yoga sessions etc.
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
About us
Learn more about ONIQ
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