Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 53.802 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design and build the data architecture from scratch, develop efficient ETL pipelines, ensure data quality, and enable data-driven decisions through dashboards and analyses.
Job Technologies
Your role in the team
- Play a major role in designing and building our data foundation from scratch in close collaboration with AI Engineers and key stakeholders.
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest data from our SaaS application (MySQL), third-party APIs, and internal tools into the Cloud Data Warehouse you will set up.
- Introduce and maintain analytical data models and a central data layer to enable reporting and advanced analyses across TimeTac.
- Ensure data quality, consistency and availability through monitoring, validation and documentation.
- Work closely with all teams (software development, marketing, finance, customer success, …) to understand data needs and translate them into robust, data solutions.
- Enable data-driven decision-making by providing clean, well-structured datasets and supporting the creation of dashboards and reports.
- In this role, you report directly to our CTO/CPO.
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Our expectations of you
Education
- University degree in Computer or Data Science, Software Development or similar.
Qualifications
- Ideally, you already implemented a data warehouse in a previous project.
- Strong software development skills, preferably in Python, SQL, Docker and Git.
- Very good knowledge of relational databases, in particular MySQL (schema design, queries, performance optimization).
- Strong presentation and communication skills, with the ability to translate data topics into clear, actionable insights for non-technical stakeholders.
- Analytical thinking and problem-solving skills, paired with curiosity, a strong willingness to learn and an eagerness to find innovative solutions.
- Very good proficiency in English, both written and spoken.
Experience
- At least 3 years of experience in data engineering.
- Experience with data warehouses and modern tools for orchestration, transformation & testing is a major plus.
- Experience with common cloud platforms (e.g., AWS, Google Cloud/GCP, Azure) and their data services.
- Experience with MS Power BI and Microsoft Dynamics 365 Business Central, as well as hands-on exposure to AI/ML in a data context is a nice-to-have.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
TimeTac
Graz
TimeTac is a rapidly growing, international software company with headquarters in Graz. We have a modern, open corporate culture that prizes creativity and innovation. Our software helps to digitize and simplify timekeeping for employees all over the world.
Description
- Company Size
- 50-249 Employees
- Founding year
- 2009
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.9
Engineering
3.5Culture
4.0Workingconditions
4.5Career Growth
3.8
Data Engineer
- Salary
- from 53.802 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
