Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will build reliable data pipelines using dbt and Dagster, design and deliver intuitive reports in Tableau or Hex, while closely collaborating with stakeholders to meet their data requirements.
Job Technologies
Your role in the team
- Build, maintain, and optimize reliable data pipelines and transformation models using dbt and Dagster.
- Arbeite eng mit Geschäfts Stakeholdern und Analysten zusammen, um ihre Datenanforderungen zu verstehen und in umsetzbare Datenlösungen zu übersetzen.
- Contribute to our centralized reporting models and framework, working with Data Vault principles.
- Design and deliver high-quality, intuitive reports and analyses in Tableau or Hex to help drive key business decisions.
- Ensure data reliability, performance, and quality across our transformation layers through robust testing and documentation.
- Take an active part in team decisions regarding technical best practices, goals, timelines, and our modern stack.
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Our expectations of you
Qualifications
- A solution-driven mindset with a strong ownership mentality, a passion for self-learning, and continuous improvement.
- Strong SQL skills with the ability to write clean, optimized queries to manipulate and join complex datasets.
- Good communication skills and the ability to work closely with business stakeholders to translate analytical requirements into technical solutions.
- Familiarity with leveraging modern AI-assisted development tools (GitHub Copilot or similar LLMs) to optimize and accelerate your daily coding, debugging, and documentation workflows.
- Vertrautheit mit Data Vault-Architektur oder ähnlichen Data-Warehousing-Design-Methoden (wie Kimball oder Inmon).
- Exposure to modern orchestration tools like Dagster or Airflow.
- Vertrautheit mit moderner Datenarchitektur (z. B. Data Lakes, Data Lakehouses, Data Mesh).
Experience
- 2+ years of experience as an Analytics Engineer, Data Analyst, BI Developer, or in a similar data role.
- Hands-on experience or solid familiarity with dbt, modular modeling, and testing.
- Experience working with BI tools, preferably Tableau and Hex.
- Nice-to-Haves: Experience or familiarity with cloud data warehouses, preferably Amazon Redshift.
- Experience working within the FinTech or banking sectors.
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What we offer
- Our team comes from over 50 nations and you can expect an open and dynamic working environment with plenty of room for your further development.
- We actively work to create a diverse and inclusive work environment by sharing our different skills, ideas and experiences as a team and representing diversity within the company.
- For your personal development, we offer internal career programs, further training opportunities, and language courses (German).
- A modern equipped office with roof terrace, lounge and much more.
- We value our successes and celebrate them through regular events, such as the Company Lunch, the Table Tennis Tournament or our Summer Party.
- Get your lunch delivered right to the office and save at the same time through the subsidy from smava.
- Your rest is important to us, so we offer 30 days of vacation. Parents benefit from 10 child sick days in addition to the statutory entitlement.
- To support your physical and mental health, we offer collaborations with sports providers and weekly sports activities in our office.
- We support social projects and subsidize your ticket for public transport so that you can get to your destination in an environmentally conscious way.
- Enjoy exclusive offers from a large number of brands and secure the best prices when buying through our Corporate Benefits partnership.
- With smava, you are secured in your old age and benefit from a subsidized company pension plan.
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Benefits
Work-Life-Integration
Food & Drink
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
smava
As the leading credit portal in Germany, we make personal loans transparent, fair, and affordable for consumers. With Smava, you can be sure that you will always get the best terms.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Analytics Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
