Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 53.802 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable ETL/ELT pipelines, connect systems, and ensure a reliable data foundation for analytics and reporting, while closely collaborating with AI engineers and stakeholders.
Job Technologies
Your role in the team
- As a Data Engineer at TimeTac, you will reshape our data landscape and enhance our foundation for data-driven decision-making across the entire company.
- You design the setup, connect systems, build reliable data pipelines, and create a clean, trustworthy data foundation for reporting, analytics, and future AI initiatives.
- In close collaboration with the AI Engineers and key stakeholders, you will design our data platform from the ground up.
- In this role, you design, develop, and operate scalable ETL/ELT pipelines to connect our SaaS application (MySQL), external APIs, and internal tools to a cloud data warehouse, which you set up yourself.
- You implement analytical data models as well as a central data repository and continuously develop them to enable reporting and further analyses at TimeTac.
- Ensuring the quality, consistency, and availability of data is your responsibility and is achieved through your monitoring, validation, and structured documentation.
- In close coordination with all teams (Software Development, Marketing, Finance, Customer Success, etc.), you analyze data requirements and translate them into robust, sustainable solutions.
- To support data-driven decision-making, you provide clean, well-structured datasets and actively contribute to the creation of dashboards and reports.
- In this role, you will report directly to our CTO/CPO.
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Our expectations of you
Education
- Completed degree in Computer Science, Data Science, Software Development, or a related field.
Qualifications
- Ideally, you have already implemented a Data Warehouse in a previous project.
- Very good knowledge in software development, preferably with Python, SQL, Docker, and Git.
- Solid knowledge of databases, especially in MySQL.
- Knowledge of MS Power BI or Microsoft Dynamics 365 Business Central as well as in the field of AI/ML is advantageous.
- Ability to prepare complex data in an understandable and action-oriented manner for non-technical stakeholders in presentations, as well as proactively communicate this information.
- Analytical thinking, curiosity, high willingness to learn, and enjoyment in developing innovative solutions as well as solving technical problems.
- Very good spoken and written English skills.
Experience
- At least 3 years of professional experience in Data Engineering.
- Experience with Data Warehouses as well as modern tools for orchestration, transformation, and testing is a big plus.
- Experience with common cloud platforms (e.g., AWS, Google Cloud/GCP, Azure) and their data services.
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What we offer
- According to the associated IT collective agreement, for this position with at least 3 years of relevant professional experience in Data Engineering or a similar field, a collective agreement gross annual salary of at least €53,802 (ST1, standard level) is provided for a full-time position (38.5 hours).
- Of course, individual qualifications and position-relevant experience will be taken into account when determining the actual salary.
- Depending on relevant experience, there is explicitly a willingness to offer a significantly higher salary.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
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
Workingconditions
4.5Engineering
3.5Culture
4.0Career Growth
3.8
Data Engineer
- Salary
- from 53.802 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
- Diversity
- Open for all genders
