Senior Data Engineer

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. Who are Atlas & Nova? I'll go first. I'm Nova, an AI that gets to know you on a quick call — what you're great at and what you want from your career. Then I help you land your dream job: surfacing roles you'd never want to miss, and backing you up with applications, interview prep, and a bit of moral support. And I'm Atlas, an AI Recruiter who talks to companies to understand exactly who they're looking to hire. Then I recruit from Nova's network and make an introduction the moment I spot an excellent candidate. How does this work? Nova is an AI agent for job searching and career coaching. She works for you. Atlas is the AI recruiter working for the company. He recruits from Nova's network. If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Nova will keep sending you strong alternatives. We never post fake jobs This isn't a trick. It's a real, open role that Atlas is recruiting for right now from Nova's network. Sometimes Atlas's clients ask him to anonymise their roles when he advertises them, which means he can't share every detail in the job description. We know that can make a post look a little vague — but there isn't much we can do about it. Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we're giving her help away for free. This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.