Become Part of A Unique Global Team

At Alfa Xprienz, we leverage technologies to drive innovation and enable businesses to transition into digitally mature organizations. We will help you start small, start simple and scale fast. We do this by building and running on the world's best data and AI infrastructure platforms, so our customers can benefit on solving challenges that are hindering their organizational mission.

Our driving force at Alfa Xprienz is that we grow and innovate heavily in areas that improve productivity and operational efficiencies in order to ensure that we collaboratively continuously deliver the highest quality products to your customers.

Become part of a uniquely Global Team with innovation at the forefront leveraging technology in driving amazing experiences. We are looking forward to you joining our amazing team in any of our professional and expert roles. We have an amazing culture of growing and learning together, whilst we create exciting solutions to problems of businesses, organizations, governments and individuals.

The Role Requires You To:

What you are responsible for

• Provide technical leadership in a post-sales capacity to guide strategic customers as they implement big data projects, ranging from architectural design to data engineering to model deployment
• Identify and improve new plans that help customers to turn their data into relevant value and align these plans with their outcomes for continued success
• Architect production level workloads, including end-to-end pipeline load performance testing and optimization
• Provide tutorials and trainings to improve community adoption (including hackathons and conference presentations)
• Work with Engineering and Product Management to improve the direction of the Databricks product
• Contribute to Databricks Expert community
• 
  

What We Require:

• Hands-on and technical experience with Apache Spark
• Experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, and OLAP
• 5+ years experience working as either:
• Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
• Data Scientist/ML Engineer: model selection, model lifecycle, hyperparameter tuning, model serving, deep learning, etc.
• Comfortable programming in Python, Scala or Java
• Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. E.g. Jenkins
• Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow

Benefits

• Health insurance reimbursement and collective healthcare scheme
• Life, accident and disability coverage
• Company Pension
• Paid parental leave
• Annual vacation bonus

We Are Commited to Diversity and Inclusion

At Alfa Xprienz, we are committed to fostering a diverse and inclusive culture where everyone can excell and grow. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Alfa Xprienz are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.