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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics Engineer - **Company:** Dynatrace GmbH - **Location:** Wien, Austria - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Business Logic, Business Intelligence Development, Cloud Computing, Code Review, Information Systems, Data Validation, Data Systems, Database Development, Database Queries, Dimensional Modeling, Github, Python (Programming Language), Netsuite, Performance Tuning, Query Optimization, Power BI, SuccessFactors, Standard Sql, Salesforce.Com, SQL Databases, Scripting, Enterprise Software Applications, Feature Engineering, Data Ingestion, GitHub Copilot, Snowflake, Git, Information Technology - **Published:** September 25, 2026 - **Apply:** https://devjobs.at/job/daa8c405e7349df1a9e28886c3462337 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. * Master's degree in a related field., * Strong understanding of dimensional modeling (Kimball) concepts including star schemas, conformed dimensions, and slowly changing dimensions. * Ability to work independently on complex tasks while collaborating effectively with cross-functional teams. * Strong communication skills, with the ability to translate technical concepts for business stakeholders. * Proficiency with Git/GitHub workflows including pull requests and code reviews. * Exposure to semantic layer concepts or metric frameworks (e.g., dbt Semantic Layer, Cube, AtScale). * Familiarity with AI/ML data readiness, feature engineering concepts, or designing data for downstream advanced analytics use cases. * Exposure to enterprise systems such as Salesforce, NetSuite, or SuccessFactors., * 5-8+ years of experience in analytics engineering, data modeling, or related roles with strong focus on SQL programming. * Strong SQL skills, including experience with complex analytical queries and performance optimization. * Solid hands-on experience with dbt Cloud, including models, tests, and documentation practices. * Experience working with Snowflake, including query tuning and understanding of warehouse performance. * Experience working within established analytics engineering or data modeling frameworks and standards. * Experience with data quality validation, testing approaches, and governance alignment. * Proven experience with AI-assisted development tools such as GitHub Copilot, Claude, or similar, and the ability to leverage them to improve productivity, development workflows, and documentation. * Experience or familiarity with Power BI, including understanding of downstream reporting needs and the ability to support or contribute to BI development when needed. * Python experience for automation, scripting, or data validation. * Experience with data ingestion tools such as Fivetran. ## Description In dieser Rolle entwickelst du skalierbare, qualitativ hochwertige Datenmodelle und analytische Produkte, um geschäftliche Anforderungen in vertrauenswürdige Datenlösungen für Analysen und Reporting umzusetzen. Job Technologien * Git * Python * SQL * GitHub * Fivetran * Snowflake * Power BI, * As a Senior Analytics Engineer, you will play a key role in designing and delivering high-quality data products that support reporting, self-service analytics, and emerging AI use cases. * This is a hands-on technical role for someone who excels at translating business needs into well-structured, reliable analytical data assets. * You will work closely with business stakeholders, data engineers, platform engineers, and BI teams to develop trusted, scalable, and well-governed datasets. * In addition, you bring awareness of modern AI-assisted development workflows, including tools such as GitHub Copilot or Claude, and are comfortable leveraging these to improve productivity, documentation, and data model design. * You will contribute to advancing our data modeling practices and help ensure that our data products are consistent, reusable, and aligned with business goals. * Design and develop scalable analytical data models, curated datasets, conformed dimensions, and standardized metrics. * Translate complex business requirements into clear, reliable, and reusable data products that support both executive reporting and day-to-day analytics use cases. * Contribute to designing data models and metadata structures with AI readiness in mind, including column-level descriptions, consistent naming conventions, and well-documented semantic context. * Build and maintain data structures that support discoverability and usability across analytics, BI, and emerging AI/ML use cases. * Follow and contribute to established standards and best practices for SQL development, dbt modeling, testing, documentation, and data quality. * Support the implementation of the semantic layer by ensuring metric definitions and business logic are consistently applied. * Implement and maintain data quality checks, governance standards, and security measures within dbt models and Snowflake. * Help ensure data models are well-tested, documented, and aligned with business definitions. * Partner with data engineers, platform teams, governance, and business stakeholders to gather requirements and deliver data solutions. * Collaborate with team members through code reviews, knowledge sharing, and adoption of best practices. * Contribute to cross-functional initiatives focused on improving standardization, consistency, and reuse of analytics assets. * Identify opportunities to improve processes, enhance automation, and streamline development workflows. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)