Cloud Data Engineer (Senior)

X4 Technology; Deutschland; Hybrid; EUR 136,000 - 178,000; Full time

Job summary

Talantir is seeking a Senior Cloud Data Engineer for a hybrid Germany-based project in the Insurance sector. You will design and implement data platforms across public clouds, focusing on data pipelines, lakes, warehouses and BI workloads.

The role requires expert Cloud data engineering skills, professional Databricks/Snowflake or MS Fabric certifications, strong Python/Scala/SQL coding, and experience with data streaming (Kafka, Spark).

Qualifications

• Public cloud data projects experience in AWS/Azure/GCP.
• Professional/expert-level certification in Databricks, Snowflake, MS Fabric or AWS/Azure Data Engineering.
• Deep knowledge of at least one big data technology (Databricks, Snowflake, MS Fabric or AWS Glue).
• Experience with data orchestration tools (Azure Data Factory, AWS Glue) and data persistence tech (databases, data lakes).
• Data streaming experience (Kafka, Flink, Spark) for at least 2 years.
• Proficiency in Python, Scala and SQL.
• DevOps and orchestration: microservices, CI/CD, Terraform, MLOps.
• Good German and English; willingness to travel within Germany.

Skills

Public cloud data

Cloud data engineering

Big data tech

Data streaming

Python

Scala

SQL

CI/CD

Terraform

MLOps

German language

Tools

Databricks

Snowflake

MS Fabric

AWS

Azure

GCP

Azure Data Factory

AWS Glue

Kafka

Flink

Spark

Terraform

Job description

Title

Cloud Data Engineer

Location

Hybrid - 75% Remote 25% Onsite

Rate

€850

Start Date

1st April

Length

12 Months

Languages

German - C1/C2/Native

Role Overview

My client are currently looking Senior Cloud Data Engineer to work on a Digital Transformation project within this Insurance industry.

Required Skills

• Public cloud data excellence: You have successfully implemented multiple data projects in a public cloud (AWS, Azure, GCP) with a focus on building data platforms (data pipeline, data engineering, platform architecture, data lake, data warehouse, BI, ETL, analytics).
• Expert-level certification: You have already obtained at least one professional/expert-level certification in Databricks, Snowflake, MS Fabric or AWS/Azure Data Engineering
• Big data expertise: You have in-depth knowledge of at least one big data technology (Databricks, Snowflake, MS Fabric or AWS Glue) and proven project experience
• Tool competence: You have experience with data orchestration tools (e.g. Azure Data Factory, AWS Glue) and are confident in using data persistence technologies (databases, data lakes).
• Data streaming skills: You have at least 2 years of experience with data streaming (e.g. Kafka, Flink, Spark).
• Coding fitness: Proficiency in Python, Scala and SQL
• DevOps & orchestration excellence: You are familiar with microservices, CI/CD pipelines, infrastructure-as-code (e.g. Terraform) and modern MLOps techniques
• Communication & flexibility: Very good German and English skills and willingness to travel within Germany for project-related work