Job
- Level
- Senior
- Location
- Bergheim
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 60.962 € gross/year
Job Summary
In this role, you will develop scalable data pipelines, integrate data from various sources, optimize cloud architectures, and implement monitoring mechanisms to ensure data quality.
Job Technologies
Your role in the team
- Design, build, and maintain scalable data pipelines, ingestion processes, and transformation workflows that integrate data from a variety of sources, including cloud platforms, databases, APIs, and business applications.
- Develop and optimize cloud-based data architectures, data models, and data provisioning solutions to support analytics, reporting, and machine learning use cases.
- Ensure data quality and reliability by implementing monitoring, testing, validation, failure recovery mechanisms, and DataOps best practices across the data lifecycle.
- Collaborate with cross-functional stakeholders to understand business requirements, deliver high-quality data products, maintain documentation, and contribute to PALFINGER's data strategy.
- Drive continuous improvement and innovation by evaluating new technologies, optimizing infrastructure and cloud costs, supporting MLOps initiatives, and staying up to date with industry trends and advancements.
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Our expectations of you
Education
- Bachelor's or Master's degree in Computer Science, Engineering, Business Informatics, or a related technical field, combined with hands-on experience in building and maintaining data processing pipelines.
Qualifications
- Solid understanding of modern data platforms, such as data warehouses, data lakes, and big data technologies, as well as cloud environments including Azure, AWS, or GCP.
- Strong analytical, communication, and collaboration skills, with a self-driven and organized mindset, a passion for continuous learning, and fluency in English in an international business environment.
Experience
- Strong expertise in data engineering technologies, including SQL, Python/Pandas, Spark, Azure Data Factory, and experience designing scalable data models and architectures.
- Experience with software development and agile methodologies, including CI/CD, Git, Scrum, or Kanban; knowledge of Databricks, Microsoft Fabric, Terraform, or Azure Bicep is considered a plus.
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What we offer
- Flexible working hours with no core time and possibility to work from home.
- Weiterbildung und internationale Karrieremöglichkeiten.
- Corporate health management "PALfit".
- Company restaurant with freshly prepared meals and daily meal subsidy.
- Job ticket for travel to and from PALFINGER.
- Numerous employee discounts through Corporate Benefits.
- The minimum annual gross salary according to the Austrian metal industry collective agreement is EUR 60,962.30 based on full-time employment.
- Based on experience and qualifications, we offer a market-compliant overpayment.
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Benefits
Higher Take-Home Pay
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Palfinger
Bergheim
The technology and engineering company PALFINGER is the world's leading supplier of innovative crane and rigging solutions. Based on its four strategic pillars – innovation, internationalization, flexibility, and PALFINGER 21st – the company is shaping the future of the industry together with customers, partners, and employees.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.6
Career Growth
3.6Engineering
3.6Culture
3.5Workingconditions
4.0
Data Engineer
- Salary
- from 60.962 € gross/yearEstimated net salary based on the gross salary in the job ad.from 41.614 € net/year
- Location
- Bergheim
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
