Berlin, Berlin, Germany · On-site
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, backen…
Skills: SQL, Snowflake, Power BI, Data Modeling, ETL/ELT
Hamburg, Germany · On-site
About the role In this role as a Junior AI Developer, you will build and maintain robust Python-based backend services that integrate LLMs, vector databases, and RAG pipelines into existing application landscapes. You wi…
Skills: Python, LLM Integration, Vector Databases, RAG Pipelines, FastAPI
Berlin, Berlin, Germany · On-site
About the role We are looking for a Senior Data & AI Architect. As a seasoned strategist and engineer, you design, build, and manage the end-to-end data infrastructure that powers modern AI applications. You will serve a…
Skills: Data Architecture, AI Architecture, Python, SQL, Databricks
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
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.
Requires 5+ years of experience in data engineering or analysis, with high proficiency in SQL, Snowflake, and Power BI. Candidates must be fluent in both English and German and have hands-on experience using GenAI tools for development.
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 MasterClass to sharpen your technical expertise and leadership skills
…and many other Job perks (childcare subsidy, company pension scheme, job bike, etc…)
At reeeliance, we provide proven, experience-driven consultancy in data management, business intelligence, and SAP transformation, helping clients tackle their most pressing data challenges. With offices in Berlin, Hamburg, and Porto, we take pride in our diverse and multidisciplinary team, whose varied expertise shapes the way we operate. We serve both mid-sized firms and international enterprises, particularly in highly regulated industries such as financial services and med-tech. Our expertise spans diverse Data Warehousing stacks, Fast Data, and Business Intelligence technologies, enabling us to build robust, future-proof systems. From real-time data warehousing automation to cloud-based reference data management, we transform fragmented BI landscapes into integrated, high-performance information ecosystems. In addition, we support enterprises in transforming their SAP landscapes to meet the demands of modern, digital business processes. Our SAP specialists guide companies through cloud migration, modernization efforts, process automation, data provisioning, and analytics—bridging the gap between heterogeneous tech stacks and architectures. Curious and strategic, we combine technology with deep business understanding to develop holistic, forward-thinking solutions that foster sustainable competitive advantage and innovation. Discover how we can help you unlock the full potential of your data.
Offices: Mariendorfer Damm 1, Berlin, BE 12099, DE · Trostbrücke 1, Hamburg, HH 20457, DE · Rua Dr. Alberto Aires de Gouveia 5, Porto, Porto 4050-023, PT
At reeeliance, we provide proven, experience-driven consultancy in data management, business intelligence, and SAP transformation, helping clients tackle their most pressing data challenges. With offices in Berlin, Hamburg, and Porto, we take pride in our diverse and multidisciplinary team, whose varied expertise shapes the way we operate. We serve both mid-sized firms and international enterprises, particularly in highly regulated industries such as financial services and med-tech. Our expertise spans diverse Data Warehousing stacks, Fast Data, and Business Intelligence technologies, enabling us to build robust, future-proof systems. From real-time data warehousing automation to cloud-based reference data management, we transform fragmented BI landscapes into integrated, high-performance information ecosystems. In addition, we support enterprises in transforming their SAP landscapes to meet the demands of modern, digital business processes. Our SAP specialists guide companies through cloud migration, modernization efforts, process automation, data provisioning, and analytics—bridging the gap between heterogeneous tech stacks and architectures. Curious and strategic, we combine technology with deep business understanding to develop holistic, forward-thinking solutions that foster sustainable competitive advantage and innovation. Discover how we can help you unlock the full potential of your data.
Offices: Mariendorfer Damm 1, Berlin, BE 12099, DE · Trostbrücke 1, Hamburg, HH 20457, DE · Rua Dr. Alberto Aires de Gouveia 5, Porto, Porto 4050-023, PT
