Join to apply for theAI Data Scientistrole atRein-Ton
Why SoftwareOne?
Here at SoftwareOne, we give you the flexibility to unleash your creativity, without limits. We encourage autonomy and thinking outside the box - and we can't wait to hear your new ideas. Our people are our greatest asset, and we'll go the extra mile to ensure you're happy here. We want our people to be their true authentic selves at all times, because that's when real creativity happens.
Accommodations
SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at [email]. Please include the role for which you are applying and your country location. We will make every effort to accommodate you.
The role
AI Team Overview
We are leaders in technological advancements, using AI to create groundbreaking products and solutions. Our AI Team is committed to exploring AI and machine learning's full potential.
Job Summary
As a Data Engineer on our AI Team, you will craft the foundation of our AI models and algorithms. You will build and maintain reliable data pipelines, ensuring data availability, integrity, and quality for our AI projects. Your work will directly influence our AI initiatives, contributing to innovative solutions for complex problems.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks and Azure services.
- Perform feature set engineering, report preparations, and ML tasks.
- Work with data scientists, ML engineers, and collaborators to deliver high-quality data solutions.
- Collaborate with the Data & Analytics Team on data infrastructure and ingestion.
- Discuss data inputs with Business Development and collaborators, advising on data integration.
- Ensure data accuracy and consistency across sources and systems.
- Optimize data workflows for performance and efficiency.
- Implement best practices for data security and privacy.
- Monitor and troubleshoot data pipelines to resolve issues promptly.
- Stay updated with trends in data engineering, AI, and related technologies.
- Document data processes and standards for repeatability and compliance.
- Test, validate, and verify solutions to ensure quality.
What We Need to See from YouQualifications
- Proven experience as a Data Engineer with a strong background in data pipelines.
- Proficiency in Python, Java, or Scala, and big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience with Databricks, Azure AI Services, and cloud platforms (AWS, Google Cloud, Azure).
- Solid understanding of SQL and NoSQL databases.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and teamwork skills.
Preferred Skills
- Experience with data visualization tools and techniques.
- Knowledge of machine learning frameworks and libraries.
- Understanding of data warehousing concepts and technologies.
- Experience with data governance and data quality management.
- Certification in data engineering or related fields.
Benefits of Working at SoftwareOne
At SoftwareOne, we are committed to creating a supportive and enriching work environment that empowers our employees to thrive both professionally and personally. Here are some of the benefits you can enjoy as part of our team:
- Work-Life-Harmony: Hybrid work model makes it possible to reconcile work and private life. We provide extra vacation day every month plus educational vacation days and additional long service recognition vacation days.
- Career: Through regular feedback meetings, we make performance, talent and perspective visible. Personal career paths are then also based on this, which are made transparent and openly discussed.
- Competencies and know-how: Our focus is on building and maintaining competencies. That's why we are open to your interest in further education.
- Family and career: We all have different private backgrounds, and no one should have to bend over backwards.
- President's Club: We reward exceptional performance through our global high-potential incentive.
How To Apply
If you're excited about this opportunity, please click the 'apply' button and upload your documents. We look forward to receiving your application!
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