Senior Analytics Engineer

About the role

We are looking for a Senior Analytics Engineer who comfortably bridges the gap between modern data architecture, business strategy, and the transformative potential of AI. Rather than a traditional, backend pipeline builder, we need a hybrid professional who thrives at the intersection of business strategy and technical execution:

• Strategic Business Advisor:
  You will act as a trusted consultant to our multinational clients, translating complex business needs into data strategies, asking the right questions, and shaping recommendations that go far beyond a technical brief.

• AI-Empowered Builder:
  You will get your hands dirty with implementation, but with a modern twist. Instead of building manual, repetitive pipelines from scratch, you will leverage and steer AI-driven agentic solutions to accelerate modeling, ETL/ELT development, and BI creation, while critically auditing and refining the generated output.

As a senior member of our Data Integration team, you will help our clients navigate and harness the ways AI is actively reshaping the engineering and analytics landscape.

• As a Senior Analytics Engineer, you will act as the primary technical liaison for business stakeholders, translating business needs into functional specifications, data models, and strategic recommendations

• You will design, develop, and review robust, scalable ETL/ELT solutions (with a strong focus on Snowflake) leveraging GenAI, copilots, and agentic solutions to automate and optimize development

• In this role, you will design and review efficient data models (e.g., Data Vault, Star/Snowflake schemas) and create intuitive BI dashboards (Power BI) to drive client decisions

• You will critically assess, test, and audit AI-generated pipelines, documentation, and code to ensure enterprise-grade reliability and performance

• Your role will be to guide and challenge clients on their AI/data strategy, identifying high-value opportunities where AI can improve data quality, pipeline efficiency, or analytics workflows

• In this role, you will champion engineering best practices (documentation, Git/CI-CD, query optimization) and mentor team members on integrating AI into their workflows

• 5+ years of experience in Data Engineering, Business/Data Analysis, or a similar role, ideally within a consulting or client-facing environment

• A proven track record of hands-on experience in technical execution while confidently presenting strategy to business stakeholders

• High proficiency in advanced SQL development, modern Data Warehousing concepts (Snowflake highly preferred), data modeling, and BI tools (Power BI preferred)

• Genuine curiosity and hands-on experience using AI/GenAI tools for development (e.g., AI-assisted pipelines, LLM-based data quality, RAG pipelines, or BI integrations) and you know how to use these tools to multiply your output and can separate real value from AI hype

• Good grasp of Git, CI/CD concepts, agile workflows, and basic exposure to cloud infrastructure (AWS/Azure) or containerization (Docker)

• Outstanding structured problem-solving skills, business acumen, and the ability to explain technical architectures to non-technical audiences

• Fluent in both German (C1) and English (C1), with the confidence to lead complex client workshops in both languages

• A university degree in Computer Science, Business Informatics, Information Technology, or a closely related field

• Space to grow:
  Taking ownership in international projects while continuously expanding your skills

• Mentorship and Onboarding:
  Structured introduction supported by dedicated mentor

• Cutting-edge workspace:
  Work with the latest technology and modern equipment to drive innovative solutions

• Long-term stability: A permanent employment in a family-oriented and people-focused company

• Diverse & inclusive environment:
  Join a truly international environment and collaborate daily with teammates from over 15 different nationalities

• Balance matters or work-life harmony: A work schedule designed to promote well-being and productivity

• Team culture & connection:
  Social events and structured team-building days held in Berlin and Hamburg

• Language courses:
  Learn, improve or practice your conversational skills on language platform Lingoda

• Never stop learning:
  You’ll receive a dedicated budget to industry-leading platforms like Udemy and Master Class to sharpen your technical expertise and leadership skills

• …and many other Job perks (childcare subsidy, company pension scheme, job bike, etc…)