Data Engineer – Commerce & Customer Data

INTERSPORT Deutschland eG

. Develop and operate scalable data products as well as ETL and ELT pipelines for commerce and customer domains .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operating scalable data products, with a strong focus on ETL and ELT pipelines, data modeling, and ensuring data quality and governance. Proficient in SQL and Python, with experience in modern data stack technologies and collaboration across cross-functional teams.

Highest-signal resume keywords

SQLPythonETL/ELTData ModelingKafka

ATS Keywords

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Hard Skills

SQLPythonETLELTData ModelingData QualityData GovernanceInfrastructure as CodeData MeshEvent-Driven Technologies

Soft Skills

Independent Working StyleStructured ApproachSolution-Oriented

Tools & Technologies

SnowflakeDbtPrefectAWSPulumiTerraformLookerMetabasePower BI

Industry Keywords

E-CommerceCheckout DataOrder DataPayment DataCustomer DataCRMLoyaltyCustomer Service

Tech Stack

Tools & technologies

AWSETLKafkaPythonSnowflakeSQLTerraform

About the role

Key responsibilities & impact

Develop and operate scalable data products as well as ETL and ELT pipelines for commerce and customer domains
Model data from checkout, orders, payments, customer, loyalty, and customer service domains
Provide data for product teams and analytics
Integrate data from different systems and event-based sources, including via Kafka
Develop high-performance, traceable, and reusable data models using the modern data stack
Ensure data quality, governance, and privacy, particularly for personal customer and payment data
Work closely with Product Management, Software Engineering, Data, and Business teams
Own data products from requirements gathering through production operations
Actively contribute to the Data Engineering Practice and help further develop shared standards and ways of working

Requirements

What you’ll need

Several years of experience in data engineering or a comparable role
Very strong 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
Good understanding of data quality, data governance, and the handling of personal data
Experience collaborating with cross-functional product or engineering teams
Independent, structured, and solution-oriented working style
German at least at B2 level
Proficient English
Nice to have: Experience with e-commerce, checkout, order, or payment data
Nice to have: Knowledge of customer data, CRM, loyalty, or customer service
Nice to have: Experience with Data Mesh and domain-oriented data products
Nice to have: Knowledge of BI tools such as Looker, Metabase, or Power BI
Nice to have: Experience building data pipelines for AI or machine learning applications

Benefits

Comp & perks

Flexible working hours
Remote work options
Professional development opportunities
Employee discounts
Additional benefits
Modern data stack featuring Snowflake, dbt, Prefect, Kafka, AWS, and Pulumi
Direct impact on key commerce and customer processes at INTERSPORT
Cross-functional product teams with close collaboration across Data, Engineering, and Product
A shared Data Engineering Practice with professional knowledge exchange and clear standards