Senior Analytics Engineer - (m/f/x)

Dynatrace

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

Required

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
58+ 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

A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly
Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research
A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries
An environment that fosters innovation, enables creative collaboration, and allows you to grow
A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals
A truly international mindset with Dynatracers from different countries & cultures all over the world, and English as the corporate language that connects us all
A culture that is being shaped by the diverse personalities, expertise, and backgrounds of our global team