Help us decarbonize the cement and concrete industry.
alcemy was founded to reduce the massive CO2 footprint of the cement and concrete industry. Concrete is humanity's second most used material by volume and its production is responsible for around 8% of global CO2 emissions.
We are changing this! We leverage machine learning to provide smart production control software to the cement and concrete supply chain to improve efficiency and allow for the production of low-carbon cement and concrete at large scale. Our software is used 24/7 in cement and concrete plants to optimize production and reduce carbon emissions today. We are currently enabling our customers to save more than 100 000 tons of CO2 emissions each year and we aim to save 100 million tons per year in 2030.
This is your chance to contribute to a sustainable future while gaining valuable experience in data operations and working alongside a highly skilled and passionate team.
As a Working Student – Data Operations, you will assist the Data Operations team in managing, processing, and ensuring the quality of our customers' data. This role provides an excellent opportunity to gain hands-on experience in data operations, customer solutions, and technical troubleshooting while supporting our machine learning-driven platform.
Your Responsibilities:
- Assist in monitoring data quality and helping ensure the accuracy and integrity of the data used as input for our machine learning algorithms.
- Support the configuration and customization of data ingestion pipelines to connect customer data to our system.
- Assist in processing and validating customer data, ensuring it meets our quality standards.
- Help troubleshoot data issues and deviations under the guidance of senior team members.
- Collaborate with the project and account teams to provide technical support for customer inquiries and minor technical adjustments.
- Document processes and findings to improve workflows and share lessons learned.
- Learn and build expertise on the alcemy platform, our machine learning algorithms, and their application.
Within the first month, you will...
- Get to know our team of talented DataOps Engineers, Customer Success Managers Product Manager and Engineers
- Learn how implementation projects are performed, how our ingestion and data pipelines work as well as how to configure and maintain them.
- Gain insights on how our machine learning models are working and setup
- Get an overview of the cement industry, cement properties and how cement mills are operating
Within three months, you will…
- Be able to technically configure our ingestion and data pipelines
- Understand and undertake basic analysis on the machine learning models to identify data issues
- Work with the Customer Success team on implementation projects and basic data analysis
Within 6 months, you will…
- Be the contact person for select implementation projects and data analysis
- Have a deeper understanding of cement, their parameters and impact on the outcome of the product
You’d be a great fit, if:
- You are currently enrolled in a Bachelor's or Master's program in a relevant field such as Data Science, Computer Science, Engineering, or another technical discipline.
- You have a strong interest in data operations, machine learning, and technical problem-solving.
- You possess basic experience and a clear understanding of data analysis tools and techniques, particularly with Python (e.g., pandas, numpy).
- You are familiar with data visualization tools such as Grafana.
- You demonstrate a proactive attitude, with a desire to learn and grow in a fast-paced, collaborative environment.
- You have excellent problem-solving and organizational skills.
- You communicate effectively, with the ability to ask questions, seek feedback, and clearly share progress.
- You are business-fluent in English.
- You are available for a minimum of 6 months, with the possibility of extending up to 1 year or longer.
- You can work 15–20 hours per week during semesters (flexible around exams) and up to 40 hours per week during breaks, if desired.
Even better if you also:
- Have a basic understanding of and experience with SQL.
- Are familiar with AWS services (e.g., communicating with S3 buckets).
- Are business-fluent in German.
What we offer:
- A company culture where honesty, professionalism, and integrity run deep with an open feedback culture and regular 1:1 meetings.
- Flat hierarchies, efficient decision-making processes, and an agile company structure.
- Competitive market-rate salary aligned with your experience.
- Work from our office in the heart of Berlin with flexible working hours.
- Of course, free drinks, fruit and snacks in the office.
- Regular team activities and team weeks a few times per year.
- Mac laptop.
- English is our main language of communication.
- 28 days of vacation per year and an additional day of vacation every 2 years at alcemy (calculated pro rata depending on working hours).
- Access to nilo.health - the comprehensive mental well-being platform that provides access to 1-to-1 sessions with psychologists, group sessions and self-guided tools.
- Dog-friendly office with specific rules in place, as well as dog-free areas for work and relaxation.
Hiring Process
- Initial 1:1 screening call (30 minutes) with one of our team members (online video call).
- Complete a task relevant to the actual work you’d be doing.
- A team and technical interview (60 minutes) with 2 of your future team members (conducted on-site at our office).
We encourage applicants from diverse backgrounds to apply. We also understand how stressful interviews can be. Let us know if there is anything we can do to improve the process so you can demonstrate your skills. To do so, contact Magdalena Milecka at magdalena.milecka@alcemy.tech.
Note: We cannot offer relocation support for this position, and due to regulations, you need to be enrolled in a German university.
Diversity, Equity & Inclusion (DEI) at alcemy
For the past two years, we have been dedicated to enhancing the diversity and inclusivity of our company. We have organized diversity workshops and established a DEI workgroup. By actively collecting feedback, educating our team, and considering new ideas, we have implemented several key improvements:
- Flexible work schedules to help you balance your job with your personal life.
- Access to nilo.health, a comprehensive mental well-being platform that provides 1-to-1 sessions with psychologists, group sessions, and self-guided tools, including sessions with representatives of minorities.
- A diverse team to work with. We have team members across different age profiles, ethnicities, religions, gender identities, and orientations.
- No mandatory vacation periods: use your time off for religious holidays, special events, or however you see fit.
- Collecting feedback from team members during 1:1 meetings with team leaders, AMA sessions with the founders, and through regular engagement surveys.
We’re committed to creating a workplace where everyone feels valued and included. Our journey toward diversity, equity, and inclusion is ongoing, and we’re excited about the progress we’ll make.