Senior Data Engineer

We are expanding our Data & Analytics practice to help organizations turn complex data challenges into robust, scalable production platforms. As our technical footprint grows, we need senior engineers who can bridge the gap between deep cloud engineering and strategic client delivery. Without you, critical data architecture and AI workflows can’t scale to meet client demand.

What you’ll do

Full technical ownership of modern analytics engineering, cloud architecture, and data pipelines across client engagements.

• Architect and deploy scalable production data warehouse and cloud infrastructure
• Build robust data transformation workflows and pipelines using Python, SQL, and dbt
• Implement and optimize AI/ML workflows and cross-system data integrations
• Establish modern analytics engineering best practices, CI/CD pipelines, and version control standards
• Interface directly with client stakeholders to explain technical trade-offs and turn business needs into production systems

• 5+ years building and maintaining production data warehouses and cloud infrastructure
• Advanced practitioner in SQL, Python, and dbt transformation workflows
• Proven track record in client-facing roles explaining complex technical trade-offs
• Strong background in data modeling, CI/CD, and modern analytics engineering
• Business fluent in German (C1+) with professional working proficiency in English
• Pragmatic engineer with a degree in CS or equivalent practical experience

WhyBrilliant GmbH Berlin, Germany, 10115 80000-92000 Unbefristet Vollzeit, What it’s like to work here

Hybrid setup with two required in-office days per week in Berlin for close collaboration, with the rest remote. High technical ownership and autonomy where individual Senior Data Engineers make key architectural and technical decisions directly on their client projects. The team values pragmatic delivery, sound engineering practices, and direct accountability without unnecessary red tape.

The offer

• End-to-end technical decision-making power on your projects without red tape
• Collaborative hybrid environment with 2 days/week in our Berlin office
• High-impact exposure directly working with external client leaders
• Culture centered on sound engineering practices, delivery, and direct accountability

This probably isn’t for you if

• You prefer purely internal back-office roles and avoid direct stakeholder communication
• You are looking for a 100% remote setup and cannot work in Berlin twice a week
• You need layered management and prescriptive specs instead of driving technical decisions yourself

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.