Senior Data Engineer: AI-Driven Data Platform

Wooga; Berlin (NH); Hybrid; USD 100,000 - 134,000; Full time

Benefits offered by this job

Relocation package

Education budget

Hybrid work model

German language classes

Job summary

Wooga is seeking a high-impact Senior Data Engineer to join our Berlin data engineering team. You will design data infrastructure powering analytics, AI workflows, and agentic data processes, bridging strategy and execution across pipelines and data assets.

You will work with a modern stack (Python, SQL, Scala/Java/Go) and cloud platforms (Snowflake, dbt, Airflow) while upholding CI/CD and IaC practices. This role offers hybrid work with relocation support if needed.

Qualifications

• In-depth professional experience as a software or data engineer.
• Strong background in senior data engineering roles with advanced proficiency in Python and complex SQL.
• Deep experience with a strongly-typed language such as Scala, Java, or Go for building resilient data services.
• Practical experience with cloud data platforms (Snowflake), dbt and orchestration tools like Airflow.

Responsibilities

• Design and build resilient, scalable data infrastructure optimized for analytical workflows, feature stores, real-time context delivery, and AI-ready data for analysts and LLM apps.
• Build, maintain, and optimize robust batch and streaming ETL/ELT pipelines using Python, SQL, and dbt.
• Architect data warehousing and lakehouse solutions on Snowflake with cost-efficiency and performance in mind.
• Develop agentic workflows and AI-enabled data processes, including monitoring, data quality checks, and governance.

Skills

Python

SQL

Scala

Java

Go

Tools

Snowflake

dbt

Airflow

Docker

Git

CI/CD

Terraform

Job description

Wooga is seeking a high-impact Senior Data Engineer to join our Berlin data engineering team. You will design data infrastructure powering analytics, AI workflows, and agentic data processes, bridging strategy and execution across pipelines and data assets.

You will work with a modern stack (Python, SQL, Scala/Java/Go) and cloud platforms (Snowflake, dbt, Airflow) while upholding CI/CD and IaC practices. This role offers hybrid work with relocation support if needed.