20 Analytics Engineer jobs in Germany available for remote work from home. Apply for positions such as Analytics Engineer, Analytics Engineer, Data Platform, (Senior) Analytics Engineer (m/f/d) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Analytics Engineer designs and develops scalable data models and reporting solutions to turn business requirements into governed data assets. They collaborate with stakeholders to build reliable data pipelines and support the organization's transition to Microsoft Fabric and modern Power BI architecture.
You will own and improve monitoring, observability, and engineering standards across the data platform to ensure reliable pipeline health. Additionally, you will build internal tooling and support AI adoption to remove friction for data analysts and engineers.
You will build and maintain scalable, production-grade data models and analytics foundations to support decision-making across international markets. Additionally, you will partner with product managers to define success metrics and enable self-service analytics through robust data products.
You will build and maintain scalable, production-grade data models and analytics foundations to support decision-making across international markets. Additionally, you will partner with product managers to define success metrics and enable self-service analytics through trusted data products.
You will design and build data models to turn raw data into actionable metrics while providing technical leadership for data projects. Additionally, you will collaborate cross-functionally to define business metrics and improve data architecture using modern cloud tools.
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You will design and build data models to turn raw data into actionable metrics while providing technical leadership for data projects. Additionally, you will collaborate cross-functionally to define business metrics and improve data architecture using modern cloud tools.
Take full ownership of the end-to-end data pipeline, from ingestion to the creation of actionable dashboards for stakeholders. This includes maintaining dbt models, extending Looker setups, and automating data flows using Python and BigQuery.
Design and operate an end-to-end AI-native gameplay analytics ecosystem for a new mobile game. Build the data foundation and semantic layer while implementing agentic workflows to automate reporting and insight generation.
Design and operate an end-to-end AI-native gameplay analytics ecosystem for a new mobile game. Build the semantic layer and AI-driven reporting tools while establishing agentic engineering standards for the wider organization.
The role involves collaborating with business areas to translate needs into quantitative metrics and data modeling solutions. Responsibilities include architecting analytical data structures and orchestrating data pipeline workflows.
![Jusbrasil is hiring for remote Analytics Engineer [Vaga Afirmativa para PCD]](/assets/dc99fec1-ff4b-481c-be8d-b7355cb5eaa4.png){kind=small}
Build and manage the semantic data layer to ensure consistent business rules and data governance across the company. Act as a bridge between data infrastructure and business stakeholders to translate requirements into efficient dimensional models.
Own the growth analytics function by designing and maintaining core marketing data models and ensuring the stability of the marketing tech stack. Collaborate across data and marketing teams to drive data-driven decisions and mentor junior talent.
Own the growth analytics function by designing and maintaining core marketing data models and ensuring the stability of the marketing tech stack. Partner with cross-functional teams to drive data-driven decisions and mentor junior data talent.
Own the growth analytics function by designing and maintaining core marketing data models and ensuring the stability of the marketing tech stack. Collaborate across data and marketing teams to drive data-driven decisions and mentor junior talent.
Lead the design, evolution, and maintenance of complex data pipelines to ensure scalability and reliability. Translate business needs into technical modeling rules while establishing systemic quality and reliability standards.
You will architect and operate large-scale ETL, streaming, and distributed data pipelines for vehicle telemetry and sensor data. Additionally, you will mentor engineers and drive technical solutions for complex data infrastructure challenges.
You will architect, operate, and evolve large-scale ETL and streaming data pipelines for vehicle telemetry and sensor data. Additionally, you will mentor engineering teams and integrate new data technologies to enhance system scalability and performance.
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Develop modern analytics and AI solutions using the Microsoft ecosystem, from data foundations to productive business use. Design scalable data platforms and implement Generative AI scenarios such as LLMs and RAG to support business decision-making.
Build and evolve the semantic foundation for data products using dbt and Snowflake to ensure consistent business meaning across BI, APIs, and AI. Collaborate with cross-functional teams to define KPIs and ground agentic AI experiences in structured business data.
Build backend services, APIs, and data pipelines to transform messy ERP data into validated datasets and customer-facing analytics. Own the full lifecycle from exploration to production, including deploying and operating reliable cloud solutions on AWS.
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