Job
In this role, you will develop scalable data models and transformation pipelines, optimize SQL queries, and collaborate closely with stakeholders to build meaningful KPIs and semantic layers for BI analytics.
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Job technologies
Your role in the team
- As a Data Analytics Engineer / Architect, you will play a key role in shaping scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high-quality, well-structured data.
- Design, build, and optimize scalable data transformation pipelines with a strong focus on SQL performance and efficiency, while maintaining robust dbt projects, including models, tests, macros, and structured project setups.
- Develop and evolve data models using dimensional modeling principles (e.g., star schemas), as well as Data Vault 2.0 and Anchor Modeling approaches in a combined modeling environment.
- Define, standardize, and maintain business entities, KPIs, and metric logic as reusable assets, and provide semantic layers consumable by BI tools and machine learning use cases.
- Work closely with business stakeholders to translate requirements into scalable data models, ensuring alignment, data consistency, and a single-source-of-truth approach.
- Leverage modern data platforms such as Snowflake and/or Databricks and contribute to collaborative, Git-based development workflows, including code reviews and best practices.
Our expectations of you
Qualifications
- Collaborate effectively with business stakeholders and translate requirements into scalable data models, while maintaining high standards for data quality, harmonization, and single-source-of-truth principles within Git-based development workflows.
Experience
- Hands-on expertise in Snowflake and its data modeling capabilities for defining business entities and KPIs, and building semantic layers for BI and advanced analytics use cases. Additional experience with Databricks is a plus.
- Advanced SQL expertise with a strong focus on transformations and query performance, combined with hands-on experience in dbt (models, tests, macros, and project structure) and a deep understanding of data modeling concepts such as dimensional modeling, Data Vault 2.0, and Anchor Modeling (or a strong willingness to learn both).
- Additional knowledge of Power BI from a consumption perspective, experience with data testing frameworks (e.g., Great Expectations, DQX, Soda), familiarity with data cataloging and lineage tracking, and an understanding of feature engineering concepts for future ML use cases.
What we offer
- In addition to our range of benefits, such as 30 fixed vacation days per year and flexible working hours, this role offers you a modern tech environment.
- Work with state-of-the-art tools and technologies in a collaborative and forward-thinking data environment.
- Close collaboration with various teams in an open and supportive working environment that fosters continuous learning and skills development.
- Hybrid work setup: Combine the best of both worlds with three days on-site and two days working remotely each week.
- Additional perks and benefits: Benefits such as job bike leasing, EV charging stations, public transport tickets, access to an occupational health physician, and height-adjustable desks in the office.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Eucon is a digital pioneer of data and process intelligence. As a trailblazer for digital transformation, Eucon has been supporting companies in the automotive, insurance and real estate industries since 1997 to digitize their processes, use data assets valuably and implement digital business models.
- 250+ Employees
- 1997
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
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