Senior Data Engineer

WhyBrilliant; Berlin; On-site; EUR 90,000 - 130,000; Full time

Job summary

WhyBrilliant in Berlin is seeking a Senior Data Engineer to own end-to-end reliability, scalability, and semantic modeling of our analytics platform and data infrastructure.

You will design and operate data ingestion pipelines with Airflow, model warehouses in BigQuery/Snowflake, develop DBT transformations, and collaborate with product, software, and analytics teams across three squads to deliver resilient data solutions.

Qualifications

• 5+ years of hands-on data engineering and platform development experience.
• Advanced proficiency in Python (or Go) and workflow orchestration using Apache Airflow.
• Deep expertise with DBT and cloud data warehouses like BigQuery and Snowflake.
• Proven track record building semantic models and dashboards in Looker/LookML.
• Experienced operating across AWS/GCP with strong CI/CD practices and fluent English.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines and orchestration workflows using Apache Airflow and automated CI/CD.
• Model, optimize, and manage cloud data warehouses across Google BigQuery and Snowflake.
• Develop and maintain robust DBT transformations and semantic analytics layers in Looker/LookML.
• Partner directly with Product Managers, Software Engineers, and Business Analysts across three product squads to deliver resilient data solutions.
• Implement best practices for data observability, pipeline monitoring, and schema design across AWS and GCP environments.

Skills

Python

Go

English

CI/CD

LookML

Tools

Airflow

DBT

BigQuery

Snowflake

Looker

AWS

GCP

Job description

Also searchable as: Senior Analytics Engineer

• Senior Data Platform Engineer
• Senior Cloud Data Engineer
• Senior Data Warehouse Engineer

Original title: Senior Data Engineer

WhyBrilliant is sourcing applicants for this role on behalf of a corporate innovation unit - based in Berlin.

The company's identity may stay confidential until first contact.

Atlas, our AI Recruiter, is running this search and will pick the best candidates from Nova's network. The next step is to speak to Nova.

The Role

Job Title: Senior Data Engineer

Location: Berlin, Germany

Why this role matters

Our data ecosystem powers critical decisions across three distinct product squads, requiring top-tier reliability, scale, and modern modeling standards. In this role, you will be the core technical partner translating cross-functional business requirements into resilient, highly observable data pipelines across modern data warehouse environments.

What You'll Do

You will own the end-to-end reliability, scalability, and semantic modeling of our entire analytics platform and data infrastructure.

• Design, build, and maintain scalable data ingestion pipelines and orchestration workflows using Apache Airflow and automated CI/CD.
• Model, optimize, and manage cloud data warehouses across Google BigQuery and Snowflake.
• Develop and maintain robust DBT transformations and semantic analytics layers in Looker/LookML.
• Partner directly with Product Managers, Software Engineers, and Business Analysts across three product squads to deliver resilient data solutions.
• Implement best practices for data observability, pipeline monitoring, and schema design across AWS and GCP environments.

Who this is a fit for

• 5+ years of hands-on data engineering and platform development experience.
• Advanced proficiency in Python (or Go) and workflow orchestration using Apache Airflow.
• Deep expertise with DBT and cloud data warehouses like BigQuery and Snowflake.
• Proven track record building semantic models and dashboards in Looker/LookML.
• Experienced operating across AWS/GCP with strong CI/CD practices and fluent English.

What it's like to work here

The company operates with a highly supportive, low-hierarchy culture where decisions are made quickly and pragmatically. Work is flexible and output-focused with no rigid office mandate, though team members typically drop in a few times every other week based on personal preference and for important team gatherings. Daily collaboration follows classic agile rituals including daily standups and Scrum sprints, with high trust and autonomy placed in individual contributors.

The offer

• High autonomy and trust within a low-hierarchy, pragmatic engineering culture.
• True flexible working setup with no rigid office mandates and Berlin hub access.
• Direct cross-functional influence across multiple active product squads.
• Collaborative agile sprint rituals with minimal bureaucracy and fast decision-making.

This probably isn't for you if

• You prefer working in siloed infrastructure teams without direct interaction with product managers and analysts.
• You require rigid top-down roadmaps and step-by-step guidance rather than self-directed problem solving.
• You want to focus purely on backend scripts without touching analytics modeling tools like DBT or Looker.

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