Data Engineer – Data Platform

INTERSPORT Deutschland eG

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

Posted 9/21/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 EngineeringSQLPythonAWSInfrastructure as Code

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentETL ProcessesELT ProcessesData ModelingData QualityData GovernanceVersioningHistorizationDocumentationData Analysis

Soft Skills

Analytical ThinkingClear CommunicationSolution-OrientedTeam CollaborationAgile Working

Tools & Technologies

AWSPulumiTerraformSnowflakeDbtPrefectAirflowBigQueryLookerTableau

Industry Keywords

E-CommerceMarketplacePlatform Business ModelsEvent StreamingDistributed Data ArchitecturesKafkaSparkBI ToolsData LandscapeCross-Functional Collaboration

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudETLKafkaPythonSparkSQLTableauTerraform

About the role

Key responsibilities & impact

Develop, implement, and optimize scalable data pipelines for reliable and secure data flows
Model and transform data according to modern best practices, including versioning, historization, and documentation
Develop and operate ETL and ELT processes as well as orchestrated data pipelines
Work with modern cloud technologies, preferably AWS, and support the expansion of the data platform
Use Infrastructure as Code, ideally Pulumi or Terraform, to ensure the stable and scalable advancement of the data platform
Analyze and optimize data processes with regard to performance, scalability, stability, and data quality
Collaborate closely with Data Scientists, analysts, product teams, and developers to enable data-driven decision-making
Actively contribute to the continued 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

Requirements

What you’ll need

Several years of hands-on experience in data engineering, ideally in production cloud data platform environments
Very strong 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
Strong analytical thinking and the ability to communicate complex technical concepts clearly
Independent, structured, and solution-oriented working style
Willingness to work in an agile environment, collaborate as part of a team, and pursue continuous improvement
German language skills at least at B2 level and fluent English
Residence in Germany is mandatory
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, e.g., Kafka or Spark (nice to have)
Understanding of data quality, data governance, and monitoring (nice to have)
Experience collaborating with cross-functional product teams (nice to have)

Benefits

Comp & perks

Full-time position
Remote work arrangement
Start-up atmosphere
Collaboration in an agile team
Continuous improvement and advancement of data engineering standards