Data Analytics Engineer Python (f/m/d)

ONIQ GmbH; Deutschland; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading tech company in Germany is seeking a Data Analytics Engineer to join their team. You will analyze customer manufacturing data, develop scalable data processing functions, and engage with customers to understand their requirements. The ideal candidate has a Master's degree in a relevant field, strong Python skills, and is fluent in English and German. This position offers a collaborative culture and flexible working options.

Leistungen

Flexible working hours

30 days PTO

Regular team events

Weekly yoga sessions

Qualifikationen

• Experience with databases and data pipelines.
• Strong sense of ownership and independence.
• Knowledge of ERP systems or IIoT platforms is a plus.

Aufgaben

• Analyze and preprocess customer manufacturing data.
• Develop scalable data processing functions and workflows.
• Gather customer data and understand requirements.

Kenntnisse

Python coding and data analysis

Data processing and transformation

Organizational skills

English and German (C1)

Ausbildung

Master's degree in Computer Science or related field

Tools

pandas

NumPy

Jobbeschreibung

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 be working with the Customer Success and Product Development teams to bring our customers' data into our SaaS product IQA. As a Data Analytics Engineer, you will be responsible for the preparation and integration of customer data for proof-of-value projects and continuous usage, you will:

• Analyze, understand, and preprocess customer data (manufacturing process data)
• Develop scalable data processing functions and workflows for customer onboarding
• Analyze customer usage data to better understand the interaction of our customers with our software
• Interact with our customers to gather data, understand requirements and plan for continuous data ingestion
• Simulate manufacturing process data for our customer demo

What we expect from you

• Coding experience with Python including scientific computing and analysis packages (e.g., pandas, NumPy)
• Experience with data analysis, processing and transformation, databases, data pipelines (knowledge of ERP systems or IIoT platforms is a plus)
• Enthusiasm to drive the transformation to sustainable manufacturing with our digital solution IQA
• High levels of organizational skills, ability to work independently with a strong sense of ownership
• Master's degree in Computer Science, Engineering, Machine Learning or related technical fields
• Excellent language skills (English and German C1)
• Some knowledge of manufacturing processes is a bonus
• If you choose to work remotely: Residence within Germany and willing to travel to Cologne (by train) from time to time for in-person workshops or team events

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 [e-mail] .