Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable, high-quality data models and analytical products to translate business requirements into trusted data solutions for analytics and reporting.
Job Technologies
Your role in the team
- Dynatrace's Data & Analytics organization is focused on building a scalable, AI-ready, self-service data ecosystem across the company.
- 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.
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Our expectations of you
Education
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- Master's degree in a related field.
Qualifications
- Starkes Verständnis der Konzepte des dimensionalen Modellierens (Kimball), einschließlich Sternschemas, konformer Dimensionen und langsam wechselnder Dimensionen.
- 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).
- Vertrautheit mit AI/ML-Datenbereitschaft, Feature-Engineering-Konzepten oder der Gestaltung von Daten für nachgelagerte fortgeschrittene Analyseanwendungen.
- Exposure to enterprise systems such as Salesforce, NetSuite, or SuccessFactors.
Experience
- 5-8+ Jahre Erfahrung im Bereich Analytics Engineering, Data Modeling oder verwandten Rollen mit starkem Fokus auf SQL-Programmierung.
- 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.
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What we offer
- We offer best-in-class core rewards, including paid time off, financial security benefits, retirement savings plans, and health insurance.
- Beyond that, you'll get other benefits and work-life perks designed to make your ride with us even more rewarding.
- Our Employee Assistance Program, powered by Telus Health, offers support for you and your family members.
- Four company-designated extra paid days off for you to recharge batteries.
- Our hybrid working model and flexible working hours offer you the flexibility you need.
- Purchase company stock (NYSE:DT) at a discounted price and become a shareholder.
- Company-wide learning perks, designated team's learning days, and more.
- A day of paid volunteer time to support a community or cause you care about.
- We host Global Culture Parties, Family & Friends at Work Day, Global Breakfasts, Green Weeks, Pride Month, and beyond!
- Most of our offices and teams are proudly multicultural. English is our shared language, but we embrace and learn from each other's cultures.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
This is your employer
Dynatrace GmbH
Barcelona, Detroit, Klagenfurt, Graz, Innsbruck, München, Wien, Linz, Linz, Hagenberg, Gdańsk
As passionate and open-minded software enthusiasts, we are the global market leader in software intelligence. With AI-driven, answer-based automation, we support the largest companies in the world to create perfect digital solutions. Our mission is to make sure that millions of people have excellent user experiences in the age of digitalization – whether banking, traveling, shopping or working on the go. By combining observability with automation and AI into one cloud-based platform, we're making this possible.
Description
- Company Size
- 250+ Employees
- Founding year
- 2005
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(13 Reviews)4.5
Engineering
4.3Culture
4.4Career Growth
4.6Workingconditions
4.8
Senior Analytics Engineer
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
