Job
- Level
- Erfahren
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 53.802 € Brutto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle designst und baust du die Datenarchitektur von Grund auf, entwickelst effiziente ETL-Pipelines, kümmerst dich um Datenqualität und ermöglichst datengestützte Entscheidungen durch dashboards und Analysen.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer or Data Science, Software Development or similar.
Qualifikationen
- 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.
Erfahrung
- 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.
Benefits
Gesundheit, Fitness & Fun
- 🎳Team Events
- 👨🏻🎓Paten- & Mentor- Programm
- ⚽️Tischkicker o. Ä.
- 🧠Psychische Gesundheitsv.
- ♿️Barrierefreiheit
Work-Life-Integration
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
TimeTac
Graz
TimeTac ist ein schnell wachsender, internationaler Softwarekonzern mit Hauptsitz in Graz. Wir leben eine moderne, offene Unternehmenskultur mit starker gemeinsamer Vision und Arbeitsatmosphäre, in der kreatives und innovatives Denken gefördert wird. Mit unserer Software digitalisieren und vereinfachen wir die Zeiterfassung für MitarbeiterInnen weltweit.
Description
- Unternehmensgröße
- 50-249 Employees
- Gründungsjahr
- 2009
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(3 Bewertungen)3.9
Engineering
3.5Culture
4.0Workingconditions
4.5Career Growth
3.8
Data Engineer
- Gehalt
- ab 53.802 € Brutto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
