Senior Analytics Engineer

# Senior Analytics Engineer## **Your role at Dynatrace**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.**Key Responsibilities:**### **Data Product Design & Development*** 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### **Standards, Quality & Governance*** 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### **Collaboration & Technical Contribution*** 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## **What will help you succeed**### **Required*** Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field* **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* Strong understanding of **dimensional modeling (Kimball)** concepts including star schemas, conformed dimensions, and slowly changing dimensions* Experience working within established analytics engineering or data modeling frameworks and standards* 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* Experience with data quality validation, testing approaches, and governance alignment* Proficiency with Git/GitHub workflows including pull requests and code reviews* 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### **Preferred*** Master’s degree in a related field* Python experience for automation, scripting, or data validation* 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* Experience with data ingestion tools such as **Fivetran*** Exposure to enterprise systems such as Salesforce, NetSuite, or SuccessFactors## **Why you will love being a Dynatracer*** Dynatrace is a leader in unified observability and security.* We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.* Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.* You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.* Over 50% of the Fortune 100 companies are current customers of Dynatrace.## **Compensation and Rewards*** We offer only employment contracts (PL: Umowa o pracę / UoP). This is a permanent role and not a B2B contract.* We offer attractive compensation packages and stock purchase options with numerous benefits and advantages.* Base salary range 13.250 - 16.583 PLN gross per month. (we've listed a salary range for transparency, but if your experience and skills bring unique value, we would still love to hear from you)## **Equal Employment Opportunity**Dynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.**Note to Recruiters and Agencies**: Thank you for your interest in Dynatrace. Please note that **we do not accept unsolicited agency resumes**—do not forward them via our website or directly to Dynatrace employees. Dynatrace will not pay fees for unsolicited resumes, and any resumes received this way will be considered the property of Dynatrace.## Benefits and work-life perksWe 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.#### Mental health supportOur Employee Assistance Program, powered by Telus Health, offers support for you and your family members.#### Wellness DaysFour company-designated extra paid days off for you to recharge batteries.#### FlexibilityOur hybrid working model and flexible working hours offer you the flexibility you need.#### Employee Stock Purchase PlanPurchase company stock (NYSE:DT) at a discounted price and become a shareholder.#### Learn & developCompany-wide learning perks, designated team's learning days, and more.#### Volunteering dayA day of paid volunteer time to support a community or cause you care about.#### Regular team eventsWe host Global Culture Parties, Family & Friends at Work Day, Global Breakfasts, Green Weeks, Pride Month, and beyond!#### International vibeMost of our offices and teams are proudly multicultural. English is our shared language, but we embrace and learn from each other's cultures.Rewards vary depending on your employment type. Some benefits and perks also differ by location — explore your city to see what’s available there. #J-18808-Ljbffr