AllCloud is a global professional services company that specializes in cloud enablement and transformation. With expertise and agility, AllCloud helps enterprises accelerate cloud innovation and fully leverage the benefits of cloud technology. As an AWS Premium Consulting Partner, AllCloud is supported by a strong ecosystem of technology partners and follows proven methodologies and best practices. With over 12 years of experience and a track record of successful cloud implementations, AllCloud serves customers around the world. The Senior Data Engineer role exists to design and operate data infrastructure, optimize database engines, and collaborate with internal and external stakeholders to support data infrastructure and business requirements.

In this role you can expect to have the responsibilities:

• Keep customer data separate and secure to meet compliance requirements.
• Design, build, and operate data infrastructure for optimal data extraction, transformation, and loading from various sources using SQL, cloud migration tools, and big data technologies.
• Optimize different RDBMS engines in the cloud and resolve security, performance, and operational issues for customers.
• Create and operate large, complex data lakes that meet functional and non-functional business requirements.
• Optimize the ingestion, storage, processing, and retrieval of various data types, including real-time events, IoT, and unstructured data like images, audio, video, and documents.
• Collaborate with clients and internal stakeholders, including executive, product, data, software development, and design teams, to address data-related technical challenges and support data infrastructure and business requirements.

This role comes with the following benefits:

• No weekend work and part-time options available.
• Remote work in Germany (up to 3 months abroad by arrangement).
• MacBooks provided (optional).
• Company-sponsored vacations and participation in events like table tennis and AWS conferences in the USA.
• Opportunities to work on cutting-edge projects in machine learning, medical effectiveness studies, automotive, and AI.

This role requires you to have:

• Minimum 3 years of experience as a Data Engineer in a cloud-native ecosystem.
• Bachelor's degree in Computer Science, Mathematics, Information Systems, or a related quantitative field.
• Good communication skills in German and English.
• Experience with big data tools like Spark, ElasticSearch, Hadoop, Kafka, Kinesis, etc.
• Relational and NoSQL databases, such as MySQL, Postgres, DynamoDB, and Cassandra.
• Cloud data services, especially AWS tools like Kinesis, EMR, and Redshift.
• Functional and scripting languages like Python, Java, Scala, and advanced SQL.
• Building and optimizing big data pipelines, architectures, and datasets.
• Knowledge of message queuing, stream processing, and scalable big data storage.
• Experience supporting and collaborating with external clients in a dynamic environment.
• Excellent communication and presentation skills, both in German and English.
• Team player with the ability to train and learn from others.
• Advantageous: Experience with various ML models for classification, scoring, etc.
• Advantageous: Experience with deep learning neural networks, convolution, NLP, etc.

AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law.