Senior Analytics Engineer at reeeliance IM GmbH

Hamburg, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Snowflake, Power BI, Data Modeling, ETL/ELT, GenAI, Git, CI/CD, Data Vault, Star Schema, Business Strategy, Problem Solving, English Fluency, German Fluency, Cloud Infrastructure, Agile Workflows

Industry

IT Services and IT Consulting

Description

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. Your responsibilities 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 Our requirements 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 What we offer 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 MasterClass to sharpen your technical expertise and leadership skills …and many other Job perks (childcare subsidy, company pension scheme, job bike, etc…) About us We love data... reeeliance guides regulated enterprises in turning AI readiness into AI-embedded operations, redesigning the workflows where risk, compliance, and business decisions actually happen. We design, build, and govern the data foundations that make it possible, combining strategic advisory, data and AI engineering, and deep SAP expertise across Hamburg, Berlin, and Porto.

Responsibilities

The role involves acting as a technical liaison to translate business needs into data strategies and functional specifications. You will design and audit AI-driven ETL/ELT pipelines and BI dashboards to optimize client data operations.