Senior Data Engineer / Scientist (w/m/d)
Senior Data Engineer / Scientist (w/m/d)
Location: Hamburg - Product & Tech Team
Are you passionate about shaping the future of e-commerce using cutting-edge AI solutions? Do you thrive in a fast-paced start-up environment, eager to work on game-changing technologies that empower small and medium-sized e-commerce businesses to compete with industry giants? If you answered yes to these questions, VOIDS has the perfect opportunity for you!
👫 About Us:
VOIDS is a young and innovative B2B AI Software-as-a-Service (SaaS) company based in the heart of Hamburg. Our mission is to democratize access to AI-powered demand forecasting, revolutionizing the e-commerce landscape. We envision a world where innovation is accessible to all, empowering humans with forward-thinking, AI-driven solutions to simplify complex technology and elevate everyday living. As pioneers in AI applications, we lead by example, fostering European talent and independence. Our goal is clear: develop technology with limitless potential to bring companies and people together, unlocking their combined potential for shared success and a happier future.
🚀 The Role:
As a Senior Data Engineer / Scientist at VOIDS, you will be at the forefront of transforming e-commerce with our state-of-the-art AI solutions. Your expertise will play a pivotal role in enhancing our AI-driven demand forecasting and shaping solutions, empowering our clients to optimize their operations and drive growth through data and AI.
- Collaborate with cross-functional teams in a sprint-based start-up environment to develop cloud-based data pipelines and deep learning models from prototype to production.
- Leverage your understanding of e-commerce data sources and data science experience to find the right data sourcing, processing, and modelling approach, maximizing the impact on customers' businesses.
- Build scalable and secure big data pipelines to integrate marketing, sales, supply chain, and external data sources into our data warehouses and lakes.
- Enhance the quality and scalability of our deep learning forecasting and generative AI models with your domain expertise in the e-commerce and retail field.
- Optimize data models, access patterns, and processing with complex algorithms using tools like AWS Glue, Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, Kinesis, and Prefect.
- Ensure data quality, versioning, and documentation while integrating large-scale external datasets via APIs, FTP, S3, or web scraping using reliable, repeatable processes.
- Mentor and guide top talent, nurturing their skills and integrating innovative technologies into our tech stack.
- +7 years of experience in complex data models, preprocessing pipelines, ETL processes, and ingestion pipelines for deep learning time series forecasting and demand shaping in the e-commerce domain.
- Proficiency in Python, PyTorch, PySpark, SQL, and experience with AWS, along with data engineering and science tools such as AWS Sagemaker, AWS Glue, DBT, Spark, Apache Airflow.
- Strong understanding of database architecture, data modeling, and optimization techniques, including experience with data warehouses, data lakes, PostgreSQL, star/snowflake schemas, and columnar formats like Parquet and Avro.
- In-depth knowledge of e-commerce enablement software and data sources / APIs of various large-scale online marketing solutions, inventory/procurement software, as well as shop/marketplace systems to find solutions using complex data engineering and machine learning models.
- Several years of hands-on experience building and implementing large deep learning models (mostly transformers) for time series forecasting and generative AI in the cloud.
- Excellent communication skills in English, with German being a plus.
What to Expect:
Why Join Us:
💼 Impactful work that changes customers' financial situations and lives
🌱 Young, intrinsically motivated, and growing team
🗣️ Flat hierarchies with opportunities to contribute ideas
💸 Highly paid job in a fast-paced, innovative venture
What We Offer:
🖥️ Necessary hardware provided (Laptop, Monitor, etc.)
🏠 Hybrid setup: Work from home or our office for flexibility
🌴 30 days of vacation and paid sick leave
💆 Monthly learning and wellness allowance (Udemy, Calm subscription, etc.)
🔑 Full trust to take ownership of your work in a flat hierarchy
💬 Encouraged and expected feedback culture
👉 Send us your CV: firstname.lastname@example.org
Or shoot a message on LinkedIn 🥳