Data Engineer – Data Platform

INTERSPORT Deutschland eG

. Develop, implement, and optimize scalable data pipelines to ensure reliable and secure data flows .

Posted 10/22/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing scalable data pipelines, utilizing modern cloud technologies like AWS, and implementing Infrastructure as Code with tools such as Pulumi or Terraform. Proficient in SQL and Python, with a strong focus on data modeling, ETL/ELT processes, and ensuring data quality and governance.

Highest-signal resume keywords

Data EngineeringSQLPythonAWSETL/ELT Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingETL ProcessesELT ProcessesData TransformationData Quality AssuranceInfrastructure as CodeVersioningDocumentationAnalytics Platform Development

Soft Skills

Analytical ThinkingClear CommunicationStructured ApproachSolution-OrientedTeamwork

Tools & Technologies

AWSPulumiTerraformSnowflakeDbtPrefectAirflowBigQueryLookerTableau

Industry Keywords

Data GovernanceData QualityE-CommerceMarketplace Business ModelsDistributed Data ArchitecturesEvent StreamingCross-Functional Teams

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudETLKafkaPythonSparkSQLTableauTerraform

About the role

Key responsibilities & impact

Develop, implement, and optimize scalable data pipelines to ensure reliable and secure data flows
Model and transform data according to modern best practices, including versioning, historization, and thorough documentation
Develop and operate ETL and ELT processes, as well as orchestrated data pipelines
Work with modern cloud technologies, preferably AWS, and support the continued expansion of the data platform
Use Infrastructure as Code, ideally with Pulumi or Terraform, to ensure the stable and scalable evolution of the data platform
Analyze and optimize data processes with regard to performance, scalability, stability, and data quality
Work closely with Data Scientists, Analysts, Product teams, and Developers to support data-driven decision-making
Actively contribute to the development of data engineering standards and the modernization of the BI and data landscape
Develop a company-wide data foundation as a single source of truth for analytics and reporting
Integrate, model, and transform data from different business areas, and operate a scalable analytics platform

Requirements

What you’ll need

Several years of hands-on experience in Data Engineering, ideally in production cloud data platform environments
Excellent knowledge of SQL and Python
Experience with modern data stack technologies such as Snowflake, dbt, Prefect or Airflow, BigQuery, or comparable tools
Experience with ETL/ELT processes, data modeling, and building robust data pipelines
Experience with AWS or a comparable cloud platform
Initial experience with Infrastructure as Code, ideally using Pulumi or Terraform
Analytical thinking and the ability to communicate complex technical concepts clearly
Independent, structured, and solution-oriented approach to work
Openness to agile working methods, teamwork, and continuous improvement
German language skills at least at B2 level and proficient English
Residence in Germany is mandatory
Nice to have: Experience in e-commerce or with marketplace and platform business models
Nice to have: Knowledge of BI tools such as Looker, Tableau, or Power BI
Nice to have: Experience with event streaming or distributed data architectures, such as Kafka or Spark
Nice to have: Understanding of data quality, data governance, and monitoring
Nice to have: Experience working with cross-functional product teams

Benefits

Comp & perks

Full-time position
Remote work options
Work in a digital unit with a start-up atmosphere
Contribute to customer-focused digital solutions, processes, and devices related to sports