Data Engineer

twomynds

Data Engineer building and operating robust data pipelines at twomynds, a Data & AI consultancy. Collaborating with teams to ensure reliable data feeding for analyses and use-cases.

Posted 7/10/2026full-timeBonn • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating data pipelines and platforms, with a strong focus on ETL/ELT processes, data modeling, and quality assurance. Proficient in cloud environments and automation tools, ensuring efficient data workflows and collaboration with cross-functional teams.

Highest-signal resume keywords

Data Engineering ExperienceProficient in PythonProficient in SQLETL/ELT Pipeline DevelopmentCloud Environments (AWS/Azure/GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignETL/ELT DevelopmentData ModelingData Quality AssuranceCI/CD ImplementationAutomation with AirflowData WarehousesData LakehousesProduction Data InfrastructureMonitoring and Validation

Soft Skills

Team PlayerExecution SkillsOwnership

Tools & Technologies

AWSAzureGCPDatabricksSnowflakeAirflow

Industry Keywords

Data EngineeringData QualityData WorkflowsCross-Functional CollaborationData Infrastructure

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

You design, build, and operate data pipelines and platforms.
You develop, test, and operate robust ETL/ELT pipelines.
You design and maintain data models, schemas, and structures for data warehouses/lakehouses.
You implement validations, quality checks, and monitoring.
You build and optimize data solutions in the cloud (AWS/Azure/GCP).
You automate recurring data workflows (e.g., using Airflow) and ensure clean deployments with CI/CD.
You collaborate closely with cross-functional teams and clients.

Requirements

What you’ll need

Data engineering experience: You have built and operated production data pipelines and infrastructure.
Tool stack: Proficient in Python and SQL, familiar with ETL/ELT, data warehouses/lakehouses, and cloud environments (Databricks/Snowflake/AWS/Azure/GCP).
Data modeling & quality awareness: You understand data modeling and prioritize data quality, testing, and maintainable code.
Execution skills & ownership: You pragmatically and purposefully drive solutions from concept to production and take responsibility for results and quality.
Team player: You enjoy working with data scientists, analysts, and clients.
Languages: Fluent German (C1+); strong English skills are a plus.

Benefits

Comp & perks

Growth & development: Training budget, mentoring, and individual career paths.
Flexibility: Modern working models with remote options (one fixed office day per week).
Subsidy for commuter/public transport pass and Urban Sports Club membership.