Senior Data Engineer (f/m/d)

Das ist der Job

Overview We maximize product availability with minimal cashflow investment in 1/10 of the time.

Darum lohnt es sich

VOIDS is the AI brain for mid‑size Shopify brands, forecasting demand at the product level, catching stockouts and inefficiencies before they happen, and telling e‑commerce teams exactly what to do — or executing it automatically with a click.

Responsibilities Efficiently source, process, and structure diverse datasets—transactional, behavioral, product, and marketing data—into clean, actionable formats for our AI models, optimization algorithms, and software engineering teams.

Act as the first point of action for new data needs, rapidly delivering solutions that enable the rest of the team to iterate fast and independently. Collaborate closely with the CTO, data scientists, software engineers, and customer success teams to translate business requirements into robust data solutions.

Continuously improve our data infrastructure, optimize workflows, and advocate for best practices across the engineering and data science teams. Benefits Permanent full‑time contract (no B2B). Regular team events and quarterly off‑sites. We solve a real problem for SMEs with AI.

The result is 98% inventory efficiency, 20x ROI, and six‑figure cash unlocked within weeks. Launched June 2023, VOIDS has achieved 300% growth, processed 1 B+ data points, and generated €2M ARR, with over 50 brands in use, targeting €10M ARR by 2027.

Ensure data reliability, cleanliness, and timeliness, proactively identifying and addressing bottlenecks or inconsistencies. Deeply understand the product, customer problems, and data specifics to anticipate and resolve data‑related issues. Decide priorities autonomously, operating without bureaucracy. Requirements Fluent English; German is a plus.

Clear, professional, asynchronous communication skills. 3+ years of experience in Data Engineering or related roles. Proven 3+ years of experience in Python, particularly with data manipulation libraries (Pandas, Polars).

Strong proficiency in reading, writing, and updating data in both structured (SQL databases, especially PostgreSQL) and unstructured (AWS S3, Parquet) storage solutions. Hands‑on experience building and maintaining scalable batch data pipelines and workflows as inputs for web applications and AI models (AWS Lambda, Airflow, MLflow, AWS SageMaker).

Proven ability to set up and maintain robust testing environments, and manage efficient DataOps/MLOps workflows to enable rapid iteration. Familiarity with infrastructure and containerization frameworks (Kubernetes, Docker, Terraform). Solid expertise in data storage solutions like AWS S3 (Parquet).

Ability to design and implement clean, reliable, and efficient data processing pipelines and APIs. Strong product intuition and ownership‑oriented mindset. Comfort with ambiguity and autonomy in problem‑solving. Daily use of AI tools to enhance productivity, development speed, and problem‑solving.

Bonus or Nice‑to‑Have Experience in B2B SaaS startups or scaleups. Experience with eCommerce data sets and solutions (Shopify, Amazon Seller Central, Google Ads, Meta Ads, Klaviyo, Channable, etc.). Familiarity with scalable big data tools and frameworks (DBT, Dask, Apache Spark, EMR, Databricks, AWS Glue).

Familiarity or interest in Data Science workflows, especially related to time series forecasting (Nixtla, Darts, statsmodels, sktime). Experience with streaming data pipelines. Contributions to developer experience, data observability, or internal tooling improvements. Tech Stack Programming: Python (Pandas, Polars), SQL.

Processing: AWS SageMaker, AWS Lambda. Data Storage & Management: PostgreSQL, AWS S3 (Parquet), BigQuery. ML Infrastructure: AWS SageMaker, AWS Lambda, MLflow. Orchestration: Airflow on AWS. Collaboration & AI Tools: GitHub Copilot, ChatGPT. Containerization: Kubernetes (Airbyte hosting, for data sourcing).

Optional Data Science Tasks Modeling & Analytics: Statistical, ML, and neural time series forecasting (Nixtla, statsmodels, XGBoost). Competitive salary (€80,000–€100,000) + equity. 30 days paid vacation. All AI subscriptions with unlimited usage. New Mac Book Pro and minimum two monitors in the office. Real ownership and influence.

A calm, focused work environment that rewards initiative. Wellpass membership to unlimited fitness, yoga, swimming, climbing, and more. #J-18808-Ljbffr