Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Münster (Hessen)
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable data models and transformation pipelines with a focus on SQL performance, while closely collaborating with stakeholders to create consistent data solutions.
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.
- You'll be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.
- 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.
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Our expectations of you
Qualifications
- Hands-on expertise in Snowflake and its data modeling capabilities for defining business entities, KPIs, and building semantic layers for BI and advanced analytics use cases.
- 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
- 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 as well as Data Vault 2.0 and Anchor Modeling (or a strong willingness to learn both).
- Additional knowledge in Power BI (from a consumption perspective), experience with data testing frameworks (e.g., Great Expectations, DQX, Soda), familiarity with data cataloging and lineage tracking, as well as an understanding of feature engineering concepts for future ML use cases.
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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 supports continuous learning and skill development.
- Additional perks and benefits such as job bike leasing, e-charging stations, public transport tickets, access to a company doctor, and height-adjustable desks in the office.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Eucon GmbH
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.
Description
- Company Size
- 250+ Employees
- Founding year
- 1997
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Analytics Engineer/Architect
- Location
- Münster (Hessen)
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
