Analytics Engineer developing and maintaining data models to support strategic decisions in Hostinger. Revolutionizing data use to enhance business insights and accessibility.
About the role
- (Senior) Analytics Engineer developing scalable analytics data models using dbt in Snowflake, collaborating with AI and BI teams.
Responsibilities
- Responsible for developing, enhancing, and maintaining modular, scalable analytics data models with dbt in our Snowflake data warehouse — with a clear focus on business relevance and reusability.
- Building and extending automated tests, validations, and monitoring mechanisms to ensure high data quality, consistency, and availability.
- Closely collaborating with AI, BI, and other business teams to translate business requirements into clean analytics solutions.
- Actively shaping our analytics architecture (ELT, dbt standards, naming, testing, documentation) and contributing new ideas, technologies, and best practices.
- Promoting a strong analytics engineering culture through code reviews, knowledge sharing, and mentoring.
Requirements
- Degree in Computer Science, Business Informatics, Statistics, Mathematics, or a comparable qualification.
- Several years of professional experience in analytics engineering, data engineering, or business intelligence.
- Strong proficiency in Snowflake and dbt for data modeling.
- Experience with Power BI or other BI tools for building dashboards and reports.
- Excellent SQL skills and a solid understanding of ELT/ETL processes.
- Ideally, experience in the e‑commerce sector and a good understanding of data-driven business models.
- Strong analytical skills and a structured, solution-oriented, and independent working style.
- Fluent in German and English.
Benefits
- 30 paid vacation days — which you can take at any time in coordination with your manager.
- Additional company-wide public holidays.
- Flexible working hours with no fixed core hours.
- Hybrid work with up to 100% remote work.
- Work with top equipment (macOS or Windows) — plus extensive gear for mobile/remote work.
- Training courses, conferences, or books — we support your professional development.
- Modern offices in the heart of Düsseldorf and Hamburg with excellent public transport connections and convenient local infrastructure.
- A fully equipped kitchen and, in Düsseldorf, a massage chair and a private gym — all free for employees.
- Casual dress code — we have no formal dress code.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer at Regions Bank focusing on designing and maintaining data structures for analytics. Collaborating with technical teams to deliver data - driven business value and products.
Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision - making through a data - driven culture. Guiding a team to innovate and implement scalable data solutions.
Data Scientist creating scalable insights from unstructured data at AI safety company. Collaborating with engineering and research teams in a hybrid Paris location.
Senior Analytics Engineer owning the analytics data platform for parenting technology startup. Requires deep SQL expertise and data pipeline experience in a hybrid role.
Senior Analytics Engineer at Higgsfield AI translating product and finance metrics into data models. Collaborating cross - functionally to ensure consistent, reliable data for decision - making.
Senior Data Analytics Developer for Krux, building data infrastructure for innovative SaaS solutions in mining industry. Collaborating with a self - motivated team to drive company growth.
Lead Risk Analytics Consultant at Wells Fargo focused on model governance and risk management strategies. Collaborate across teams to enhance system stability and mentor junior staff.
Analytics Engineering Lead responsible for building data products at Sanlam Fintech. Overseeing analytics engineering practice modernization and talent development within the organization.