Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design scalable data models and products, improve data pipelines, and support analysts and scientists in decision-making with high-quality data.
Job Technologies
Your role in the team
- We're looking for an experienced Staff Analytics Engineer to own the design and delivery of scalable data models and data products across our data warehouse, semantic layer, and reporting layer.
- Reporting to the Director of Analytics, you will enable critical decision making across the business, from marketing and product to commercial operations.
- This is a senior individual contributor role with technical leadership responsibilities.
- Initially, you will not manage a team, but you will set standards and mentor others.
- This role may evolve into a people management position as the team scales.
- Drive the development and expansion of our Data Warehouse and BI solutions, with a focus on simplicity, scalability, and reliability, ensuring they grow sustainably.
- Own and evolve the Analytics Engineering strategy, including architectural decisions, modeling standards, and the long term roadmap.
- Collaborate with Data Analysts, Data Scientists, and backend engineers to deliver trusted, well modeled, analysis-ready datasets.
- Apply software engineering best practices across the analytics codebase, including version control, code reviews, automated testing, lineage, and continuous integration.
- Evaluate, select, and deploy tools and frameworks to strengthen data quality, governance, and reliability.
- Partner closely with business stakeholders to design and scale the semantic layer to support diverse and evolving business needs, enabling and accelerating self-service analytics.
- Act as a go-to person for Data Analysts and Data Scientists, providing guidance to improve pipelines and remove inefficiencies, redundancies, and technical bottlenecks.
- Mentor and support other team members as the team scales, contributing to capability building, onboarding, and continuous knowledge sharing.
- Bring strategic thinking and innovative ideas to help shape a growing team and deliver meaningful business impact at scale.
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Our expectations of you
Qualifications
- A unique combination of technical expertise, business acumen, and communication skills, enabling you to persuade and influence data product stakeholders.
- Proficiency with dimensional modeling (star schema) and medallion architecture, with the ability to design and develop curated data marts.
- Strong coding skills in SQL and proficiency in DBT, orchestration tools, and engineering best practices.
- Curiosity, strong problem-solving skills, and a proactive, creative mindset.
- Excellent organizational and communication skills, both verbal and written.
Experience
- 5+ years of relevant experience in a comparable role, designing and scaling complex data models for analytics and data science.
- Experience with cloud data warehouses (BigQuery preferred) and semantic layers such as MetricFlow, LookML, Omni, or Cube.
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What we offer
- Hybrid position - 2/3 days in the office.
- 1 year fixed-term contract.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Usercentrics GmbH
Usercentrics provides data protection and consent management solutions specifically designed for websites, apps, and other digital platforms. The company assists organizations in capturing, managing, and documenting user consents to meet the requirements of GDPR and CCPA.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Staff Analytics Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
