Data Engineer (m/w/d)
Core
Central interface between client requirements and technical implementation of modern data platforms, making architecture decisions and managing technical projects.
Role type
Senior Consultant Data Engineering & Architecture
Builds
Data platforms, ETL/ELT pipelines, and data models (Data Vault, Star-Schema, Data Products)
Domain
Financial Services Industry (Banking, Insurance) (via careerplan.io/jobs/14225-8c688661304dba85-S-data-engineer-mwd-at-x1f-gmbh)
Deliverable
production ML models
Required skills
Python/PySpark, Scala, SQL, Data Warehouse concepts, Data Lakehouse concepts, Data Mesh concepts, dbt, Airflow, Terraform, Cloud-Data-Stacks (MS Fabric, Databricks, Snowflake), AI integration
Preferred skills
Financial Services Industry knowledge, C1 German, C1 English
Technologies
Spark, dbt, SQL, Jira, Azure DevOps, MS Fabric, Databricks, Snowflake
Responsibilities
Make central architecture decisions for data platforms and data models; Lead technical projects and structure sprints; Translate business requirements into technical concepts; Conduct workshops and train client teams; Implement modern architecture using Spark, dbt, and SQL
Seniority
Senior, hands-on IC with consulting experience