Data Engineer
About PlentyOne What we do PlentyONE helps e-commerce teams sell across multiple channels from one platform. We bring product data, orders, inventory, marketplaces, and fulfilment together so brands and retailers can run their operations at scale. We’re strongest in the German market and are expanding into other regions. Visit the PlentyOne website for more info: https://www.plentyone.com/
The job
Location: Germany Remote / Hybrid options available
Department: Product
Reports to: Chief Product Officer
About the Role
PlentyONE is looking for a Data Engineer to help SMB e-commerce merchants make smarter operational decisions through our ERP platform. The role will be designing, building, and maintaining the pipelines and infrastructure that power our AI product suite. You'll work closely with analytics, product, and engineering teams to ensure data is reliable, accessible, and scalable.
What You'll Do
- Design, build, and maintain scalable ETL/ELT pipelines to ingest data from multiple sources (APIs, databases, event streams, third-party tools)
- Develop and optimize data models for analytics, reporting, and machine learning use cases
- Own data pipeline reliability: monitoring, alerting, and troubleshooting production issues
- Collaborate with data analysts, data scientists, and product teams to understand data needs and translate them into technical solutions
- Implement data quality checks, validation, and governance practices
- Optimize query performance and manage data warehouse/lakehouse infrastructure
- Contribute to architecture decisions around data infrastructure (batch vs. streaming, storage formats, orchestration)
- Document data models, pipelines, and processes for team-wide visibility
- Participate in code reviews and uphold engineering best practices
Requirements
What You Bring
- 3–4 years of professional experience in data engineering or a closely related role
- Strong proficiency in SQL and at least one programming language commonly used in data engineering (Python preferred; Scala/Java a plus)
- Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt, Dagster, or similar)
- Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) or data lakes
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services
- Understanding of data modeling concepts (dimensional modeling, normalization, star/snowflake schemas)
- Experience with version control (Git) and CI/CD practices
- Solid understanding of data pipeline monitoring, testing, and reliability practices
Nice to Have
- Background in supply chain, inventory management, or logistics data
- Familiarity with e-commerce platforms (Shopify, WooCommerce, Amazon Seller Central, etc.)
Benefits
Benefits
● Remote-first within Germany
● Flexible working environment
● Modern hardware
● Training budget
● Wellpass, Deutschlandticket, bike leasing
● Childcare allowance & pension scheme
● Team events & Plentyparties
Are you the candidate we seek? Please reach out to:
Bjørn Andersen
CEO & Founder