Job
In this role, you will develop tailored Databricks solutions, optimize data pipelines, and assist clients with data-driven challenges in agile projects.
Job technologies
Your role in the team
- You are responsible for delivering customised end-to-end data platform and analytics solutions on customer projects, with a strong focus on Databricks-based implementations across the full project lifecycle.
- Work closely with customers to understand technical and business challenges, identify solution opportunities and translate requirements into scalable platform architectures.
- Design, build and optimise data pipelines, lakehouse architectures, data models and engineering workflows on Databricks.
- Implement and deploy robust solutions for data ingestion, transformation, orchestration, governance and analytics in production environments.
- Collaborate directly with customer stakeholders, acting as a bridge between business needs, platform strategy and technical delivery .
- Support customers hands-on in adopting best practices around Data Engineering, DataOps, CI/CD, cloud architecture and platform enablement .
- Work in agile environments and contribute to the continuous improvement of delivery methods, accelerators and reusable assets.
- Stay up to date with the latest developments in Databricks, cloud ecosystems and modern data architectures , and work together with market-leading technology partners.
Our expectations of you
Education
- We are looking forward to your completed studies in computer science, mathematics, physics or comparable
Qualifications
- Solid experience with DataBricks, Python, SQL , and optionally Java, Rust or similar
- Excellent German skills, good English skills, and willingness to travel if required by the project
Experience
- Strong hands-on experience in data engineering , building and operating scalable data pipelines and distributed data processing workloads
- Experience with Databricks , or strong experience with comparable modern data platforms and a willingness to deepen expertise in the Databricks ecosystem
- Good understanding of lakehouse architecture , data modelling, batch and streaming pipelines, orchestration and platform operations
- Knowledge of cloud services from AWS, Azure or GCP , ideally in the context of modern data platform deployments
- Experience with software engineering best practices , including version control, CI/CD, testing, modular development and automation
- Ability to prioritise customer needs and create technical solutions that generate measurable business value
- Experience with agile development concepts like Scrum
- Strong communication skills and confidence in working directly with customer stakeholders in delivery-oriented environments
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Topics you will work on
Job locations
About your employer
Wien, Innsbruck
Comsysto Reply ist die führende Expertin für die lean und agile Bereitstellung maßgeschneiderter Lösungen, die den Herausforderungen des digitalen Wandels in Unternehmen begegnen.
- 50-249 Employees
- 2020
- German, English
- Established Company
- Full Remote, Hybrid, Onsite
- Consulting · Internet, IT, Telecommunication
Employer reviews
- Engineering
- 3.6
- Working conditions
- 4.5
- Team culture
- 4.0
- Career growth
- 3.3
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