Infosys

Senior Consultant – Data Engineering, Data Science

Infosys

full-time

Posted on:

Location Type: Hybrid

Location: Munich • Germany

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Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

  • As a Consultant / Senior Consultant in Data Engineering & Data Science, you will work hands-on to design, develop and operationalize modern data and analytics solutions
  • You will contribute across the entire lifecycle — from data ingestion and transformation through analytics and machine learning to production operations
  • Collaborate closely with data engineers, data architects, data scientists and business stakeholders to deliver scalable, reliable and value-creating data solutions in complex client environments
  • Apply data-science and machine-learning methods to solve real business problems
  • Work with structured and semi-structured data in data lakes, lakehouses and data warehouses
  • Develop and optimize data transformations for analytical and machine-learning workloads
  • Support the production deployment of data and ML solutions, including monitoring and optimization

Requirements

  • At least 3 years of relevant professional experience in data engineering, data science or analytics
  • Hands-on experience delivering data and analytics solutions in project-based or client-facing environments
  • Strong problem-solving skills and a pragmatic, execution-focused approach
  • Experience building end-to-end data pipelines (ingestion, transformation, storage)
  • Solid understanding of data modeling, data transformations and feature engineering
  • Experience with cloud-based data platforms, e.g.:
  • - Azure, AWS or GCP
  • - Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
  • Understanding of CI/CD concepts and production-ready deployments
  • Experience applying statistical analysis and machine-learning techniques
  • Strong programming skills in Python
  • Strong SQL skills and experience with relational databases
  • Experience deploying or supporting ML models in production environments
  • Ability to translate analytical results into business-relevant insights
  • Completed bachelor’s or master’s degree in computer science, engineering, mathematics or a related field, or equivalent practical experience.
Applicant Tracking System Keywords

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

Hard Skills & Tools
data engineeringdata scienceanalyticsdata ingestiondata transformationmachine learningdata modelingfeature engineeringprogramming in PythonSQL
Soft Skills
problem-solvingexecution-focusedcollaborationcommunication