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Senior Data Engineer / Scientist (w/m/d)



Data Science
Posted on Friday, August 4, 2023

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!

๐Ÿ‘ซ 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.

๐Ÿš€ 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:

๐Ÿ’ผ Impactful work that changes customers' financial situations and lives

๐ŸŒฑ Young, intrinsically motivated, and growing team

๐Ÿ—ฃ๏ธ Flat hierarchies with opportunities to contribute ideas

๐Ÿ’ธ Highly paid job in a fast-paced, innovative venture

What We Offer:

๐Ÿ–ฅ๏ธ Necessary hardware provided (Laptop, Monitor, etc.)

๐Ÿ  Hybrid setup: Work from home or our office for flexibility

๐ŸŒด 30 days of vacation and paid sick leave

๐Ÿ’† Monthly learning and wellness allowance (Udemy, Calm subscription, etc.)

๐Ÿ”‘ Full trust to take ownership of your work in a flat hierarchy

๐Ÿ’ฌ Encouraged and expected feedback culture

Apply Now

๐Ÿ‘‰ Send us your CV: jobs@voids.ai

Or shoot a message on LinkedIn ๐Ÿฅณ