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twomynds

Data Engineer

twomynds

Data Engineer building and operating scalable pipelines and cloud platforms for twomynds, a Data-&-AI consulting and service provider. Enabling analytics, dashboards, and AI use cases with reliable data.

Posted 8/16/2026full-timeBonn • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and operating robust ETL/ELT data pipelines, with a strong focus on data quality, cloud data solutions, and effective communication of technical topics. Proficient in Python, SQL, and data modeling, with experience in cloud environments and automation tools.

Highest-signal resume keywords
ETL/ELT Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyCloud Data Solutions (AWS, Azure, GCP)Data Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ETL/ELTData WarehousesData LakehousesData Quality ChecksCI/CDPySparkAirflowInfrastructure-as-CodeData TransformationData Provisioning
Soft Skills
Clear CommunicationResult-OrientedResponsibility for Outcomes
Tools & Technologies
DatabricksSnowflakeAWSAzureGCP
Industry Keywords
Data PipelinesData InfrastructureData ModelsData MonitoringInterdisciplinary Collaboration

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact
  • Development, testing and operation of robust ETL/ELT data pipelines
  • Ingesting, transforming and provisioning data from a wide variety of sources
  • Designing and maintaining data models, schemas and structures for data warehouses/lakehouses
  • Implementing data validations, quality checks and monitoring
  • Building and optimizing cloud data solutions with a focus on performance, scalability and cost
  • Working with Infrastructure-as-Code
  • Automating recurring data flows, e.g. with Airflow
  • Ensuring clean, repeatable deployments with CI/CD
  • Providing performant and well-documented datasets for data scientists and analysts
  • Supporting the production rollout of models and use cases
  • Collaborating with interdisciplinary teams and clients
  • Translating business requirements into viable technical solutions

Requirements

What you’ll need
  • Experience building and operating production data pipelines and data infrastructure
  • Proficient in Python and SQL
  • Knowledge of ETL/ELT
  • Knowledge of data warehouses/lakehouses
  • Experience with a cloud environment such as Databricks, Snowflake, AWS, Azure or GCP
  • Understanding of data modeling
  • Focus on data quality, tests and maintainable code
  • Experience with PySpark, Airflow and CI/CD is a plus
  • Ability to implement solutions pragmatically and result-oriented through to production
  • Willingness to take responsibility for outcomes and quality
  • Clear communication of technical topics
  • Fluent German at C1+ level
  • Good English skills are a plus

Benefits

Comp & perks
  • Training and development budget
  • Mentoring, sparring and individualized career paths
  • Modern work models with remote options
  • Flexible working hours and high remote flexibility
  • Team offsites
  • Workations
  • Urban Sports / subsidy for Urban Sports Club membership
  • Subsidized job ticket
  • Opportunity to take on responsibility quickly and advance internally
  • Work on exciting projects with well-known brands from media, sports, telecommunications and industry