Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
About the role
- Consultant / Senior Consultant in Data Engineering & Data Science contributing to data solutions. Collaborating with cross-functional teams in a hybrid environment in Germany.
Responsibilities
- 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.
Job title
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