Data Engineer
Vienna/Linz
We are looking for a data engineer. In this role, you will get to work alongside various experts in product and engineering, contributing to the development and optimization of our data infrastructure. This is an exciting opportunity for engineers eager to delve into the realm of modern graph and vector databases, as well as working on streaming data pipelines, leveraging cutting-edge technologies to drive insights and innovation within our organization. If you're passionate about shaping the future of data architecture and thrive in a collaborative environment, we invite you to join our dynamic team.
Example Responsibilities:
- Develop real-time graph data pipelines that capture and process relevant data, integrating vector databases for efficient similarity searches to uncover patterns indicative of fraudulent activities.
- Deploy the integrated solution to production, ensuring a robust and scalable infrastructure. Conduct benchmarking and performance optimization for both vector and graph databases to meet the demands of real-time fraud detection.
- Design and implement a cohesive system where vector and graph infrastructure complement each other seamlessly, combining their strengths to enhance fraud detection capabilities.
- Collaborate with cross-functional teams to identify specific use cases where vector and graph databases can work in tandem, devising data models that optimize the strengths of both technologies for effective fraud detection.
- Collaborate with the operations team to define and implement efficient maintenance and update strategies for both vector and graph databases, ensuring seamless operation in a dynamic production environment.
Experience and Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
- Proficient in Python, Java, or Scala for developing and maintaining data engineering pipelines, with expertise in Apache Spark, Flink, and containerization (Docker, Kubernetes).
- Experienced in cloud platforms (AWS, Azure, Google Cloud) and skilled in working with various databases and data warehouses for efficient data processing and storage.
- Familiar with operations tools such as Terraform, Jenkins, and CloudFormation for automating infrastructure provisioning, deployment, and maintenance in production environments.
Great to have Experience and Qualifications:
- Experience in designing, implementing, and optimizing real-time graph data pipelines for fraud detection, with a proven track record of deploying solutions to production environments.
- Solid understanding of embedding techniques, graph neural networks, and their applications in solving real-world problems.
- Proficiency in graph theory, graph algorithms, and graph databases (e.g., Neo4j, Amazon Neptune, TigerGraph, …), coupled with extensive knowledge of vector databases (OpenSearch, Milvus, …).
- PhD in Computer Science or a related field with a focus on graph-based machine learning.
- Experience working with large-scale graph datasets and optimizing performance for computational efficiency.
- Contributions to relevant open-source projects.
- Strong analytical and problem-solving skills with a keen eye for detail in optimizing algorithms for performance and scalability.
Key Characteristics and Attitudes:
In a recent global survey these attributes were valued by Jumios in all locations and functions - we firmly believe in hiring for attitude as well as skill.
- Friendly and supportive
- Adaptable and flexible
- Articulate and persuasive
- High IQ and EQ
- Curious and coachable
- Commercially Aware
- Resilient and tenacious
- Big picture and the detail
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities:
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CloudFormation Computer Science Data pipelines Docker Engineering FinTech Flink GCP Google Cloud Java Kubernetes Machine Learning Neo4j OpenSearch Open Source PhD Pipelines Privacy Python Scala Spark Streaming Terraform
Perks/benefits: Career development Flex hours
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open ML Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs