Data Engineer, Data Scientist

taod Consulting GmbH

Data Engineer/Scientist building cloud data platforms, analytics applications, and AI solutions for taod Consulting clients. Advising customers and delivering data architecture workshops.

Posted 9/8/2026full-timeCologne • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable cloud data management solutions, with a strong focus on automation, Infrastructure as Code, and data-driven applications. Proficient in leveraging Microsoft Azure, Snowflake, and Databricks to create innovative data architectures and provide valuable insights for clients.

Highest-signal resume keywords

Cloud Data Management SolutionsPython ProgrammingMicrosoft AzureData Architecture DevelopmentData Science and AI

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Applicant Tracking System Keywords

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Hard Skills

PythonCloud-Native ComputingData-Driven ApplicationsAPIs DevelopmentBig DataMachine LearningPredictive AnalyticsRelational Data SourcesNon-Relational Data SourcesInfrastructure as Code

Soft Skills

Excellent Communication Skills

Tools & Technologies

Microsoft AzureSnowflakeDatabricksAzure OpenAI

Industry Keywords

Data SolutionsRequirements AnalysisConsulting TeamsWorkshops

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Plan, develop, and operate scalable and secure cloud data management solutions
Focus on software-driven architecture, automation, and Infrastructure as Code
Develop data-driven applications, APIs, and services for Big Data, Machine Learning, and Predictive Analytics use cases
Build and continuously evolve data architectures using Microsoft Azure, Snowflake, or Databricks
Advise customers on data solutions
Conduct workshops for requirements analysis and optimal data architectures
Take technical and analytical responsibility within consulting teams
Develop innovative solutions and derive valuable insights from data for customers

Requirements

What you’ll need

Completed university degree, vocational training, or comparable qualification in an IT field, or practical experience in similar positions
Proficiency in Python and other programming languages
Experience with cloud-native computing and a cloud provider (Azure, AWS, or GCP) is an advantage
Knowledge of modeling and working with relational and non-relational data sources
Strong interest in Data Science and AI topics, especially Azure OpenAI
Excellent communication skills in German

Benefits

Comp & perks

Flexible work location: home, office, or workation
Full overtime compensation
Flexible working hours
Agile environment with flat hierarchies, short decision-making paths, and direct communication
Paid professional development and certifications
Regular feedback and development discussions
Summer trips, Christmas parties, and after-work events
doQtor service
Discounted Urban Sports membership
Company pension scheme
Modern offices with height-adjustable desks
PlayStation/Switch breaks and table tennis
On-site fitness room