Data Engineer – Product, Pricing & Inventory Data

INTERSPORT Deutschland eG

. Develop and operate scalable data products and ETL/ELT pipelines for product, pricing, and inventory data .

Posted 10/27/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in data engineering, focusing on developing scalable data products and ETL/ELT pipelines while ensuring data quality and governance. Proficient in SQL, Python, and modern data stack technologies, with strong collaboration skills across cross-functional teams.

Highest-signal resume keywords

Data Engineering ExperienceAdvanced SQL KnowledgePython ProgrammingETL/ELT ExperienceData Governance Understanding

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Hard Skills

SQLPythonETLELTData ModelingData Quality MonitoringData GovernanceKafkaInfrastructure as CodeData Processing

Soft Skills

Structured ApproachSolution-Oriented MindsetCollaboration

Tools & Technologies

SnowflakeDbtPrefectAWSPulumiTerraformLookerMetabasePower BI

Industry Keywords

Data ProductsPIM SystemsE-CommerceMarketplaceRetailPricing DataInventory DataData ObservabilityData Mesh

Tech Stack

Tools & technologies

AWSETLKafkaPythonSnowflakeSQLTerraform

About the role

Key responsibilities & impact

Develop and operate scalable data products and ETL/ELT pipelines for product, pricing, and inventory data
Integrate data from PIM systems, marketplaces, external content sources, and other operational systems into the Data Platform
Model and structure data related to products, attributes, assortments, prices, and inventory
Provide transparency into data quality, completeness, freshness, and availability
Develop appropriate quality checks and monitoring solutions
Reliably deliver data products for discovery, checkout, and fulfillment
Integrate event-based data sources, including Kafka
Ensure data governance, traceability, and consistent data standards
Work closely with Product Management, Engineering, Category, Content, and Pricing teams
Own data products from business requirements through production operations
Actively contribute to the Data Engineering Practice and the continuous improvement of shared standards and ways of working

Requirements

What you’ll need

Several years of experience in data engineering or a comparable role
Advanced knowledge of SQL and Python
Experience with ETL/ELT and data modeling
Experience with a modern data stack, ideally Snowflake, dbt, and Prefect
Experience with Kafka or comparable event-driven and streaming technologies
Knowledge of AWS
Ideally, experience with Infrastructure as Code using Pulumi or Terraform
Strong understanding of data quality, data governance, and processing large, heterogeneous datasets
Experience collaborating with cross-functional product or engineering teams
Independent, structured, and solution-oriented approach to work
German at least at B2 level and fluent English
Nice to have: Experience with product data, PIM systems, or classification standards
Nice to have: Knowledge of pricing, inventory, or availability data
Nice to have: Experience with data quality monitoring, data observability, or data mesh
Nice to have: Experience with market, competitor, or pricing data
Nice to have: Knowledge of BI tools such as Looker, Metabase, or Power BI
Nice to have: Experience in e-commerce, marketplace, or retail environments

Benefits

Comp & perks

Flexible working hours
Mobile working
Professional development opportunities
Employee discounts
Additional benefits
Modern data stack featuring Snowflake, dbt, Prefect, Kafka, AWS, and Pulumi
Direct impact on the quality, freshness, and availability of critical product, pricing, and inventory data
Close collaboration with Product, Engineering, and business teams
Collaborative Data Engineering Practice with knowledge sharing and clear standards