Job
- Level
- Experienced
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- IT, BI, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 70.000 € gross/year
Job Summary
In this role, you will develop ETL pipelines, integrate data from operational systems, and enhance data quality on the cloud data platform to enable targeted analyses for various departments.
Job Technologies
Your role in the team
- In this role, you will play a key part in shaping and further developing the öGIG Data Warehouse. The goal of our DWH is to provide relevant company data to our colleagues from various departments for analysis and further use.
- You develop and expand our cloud-based central data platform.
- You update and expand our tech stack to keep the platform future-proof.
- You combine strategic architecture and conceptual work with real business goals and FinOps management.
- Building robust CI/CD pipelines for deployments and proactive monitoring of system errors and resource consumption.
- You ensure that our data from various operational systems reach the DWH.
- Modeling and automation are close to your heart: Together with the respective stakeholders from the business units, you find suitable solutions to model and automate our data processes.
- You design high-performance and robust ETL pipelines in orchestrator frameworks such as Dagster and dbt.
- You ensure the integrity and validity of our data, continuously improve data quality, and develop solutions for monitoring.
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Our expectations of you
Qualifications
- You are interested in working with public and private cloud platforms.
- You enjoy taking responsibility and are a team player with a hands-on mentality.
- Flexible and solution-oriented.
- Your German and English skills are very good.
Experience
- You have several years of professional experience as a Data Engineer, DWH Developer, Analytics Engineer, or an equivalent field.
- You are familiar with relational databases like PostgreSQL or even have experience with the LakeHouse concept.
- You have experience with data orchestration solutions such as Airflow, Dagster, and dbt.
- You have programming and data processing experience in Python, bash, and SQL.
- You have experience and enthusiasm for data modeling and enjoy familiarizing yourself with new data architectures.
- You have experience in or interest in automated processing of geospatial data.
- Experience in requirements engineering is an advantage.
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What we offer
- Flexible working hours.
- Hybrid work model.
- Forward-looking projects.
- On equal footing.
- Attractive benefits.
- Modern work equipment.
- Flexible working hours and a flexitime model without fixed core hours.
- Hybrid working model with the possibility of remote work.
- Flat hierarchies and a pleasant working atmosphere with a "you" culture.
- We offer you the opportunity to shape and take responsibility.
- Individual training and development programs based on employee interviews.
- Professional onboarding, training by experienced colleagues, excellent opportunities for advancement.
- Many attractive benefits (meal vouchers, corporate health management, ongoing joint events, etc.).
- Depending on experience and qualifications, we offer an annual target salary above the collective agreement (full-time, all-in) starting from EUR 70,000 gross per year.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
öGIG GmbH
öGIG plant, baut, finanziert und betreibt FTTH-Glasfasernetze in unterversorgten Gemeinden in Österreich und unterstützt damit die Bundesregierung bei der Umsetzung der Digitalen Agenda. Dies erfolgt durch den Einsatz langfristiger Kapitalmittel und einen damit verbundenen, nachhaltigen Investment-Ansatz.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Construction, Real Estate, Building Services
Cloud Data Platform Engineer
- Salary
- from 70.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 46.429 € net/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
