Job
In this role, you will develop robust data pipelines, integrate complex data, build Knowledge Graphs, and implement AI models for analytical applications, utilizing modern tools and data architectures.
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Job technologies
Your role in the team
- As a Data Engineer for Live Intelligence, you’ll be part of an interdisciplinary team developing innovative data solutions for real-time analytics and intelligent systems.
- You work at the intersection of data engineering, artificial intelligence (AI), knowledge graphs, modern database technologies, and workflow automation.
- You integrate complex data from different sources, relate it to one another, and make it usable for analytics and intelligent applications.
- Your responsibilities include, among other things:
- Pipeline design: Building, maintaining, and optimizing robust data pipelines for structured and unstructured data.
- Data integration: Consolidation, transformation, and modeling of data from different sources.
- Knowledge Graphs & semantic data models: Building and further developing Knowledge Graphs to represent complex contexts, dependencies, and relationships between data, and make them usable for analytics and AI applications.
- Analytics & AI: Implementation of algorithms for data analysis and integration of AI models into production data solutions.
- Modern data architecture: Use of modern relational, NoSQL, and graph database technologies, as well as suitable tools for workflow automation.
- Collaboration: Close coordination with colleagues in analytics, development, and business departments to put data-driven solutions into practice.
- Data Governance: Ensuring high data quality and compliance with security and governance standards.
- Visualization: Presenting complex data and relationships in dashboards and other intuitive applications.
Our expectations of you
Qualifications
- Coding Skills: You have a solid knowledge of relevant programming languages and technologies, such as Python and SQL. Knowledge of JavaScript, HTML, or CSS is an advantage.
- Data modeling: You are interested in understanding complex data structures and relationships and representing them using traditional, graph-based, and semantic data models.
- Mindset: You are interested in AI technologies, knowledge graphs, and modern data architectures, and want to put new technologies into practice.
- Industry knowledge: An understanding of industrial processes, e.g. in aviation, automotive, or energy, helps you better understand complex data and the relationships between it.
- Knowledge graph technologies: Initial exposure to graph databases, knowledge graphs, ontologies, or semantic technologies is a plus.
- Methodology: Knowledge of modern workflow tools and CI/CD processes rounds out your profile.
Experience
- Experience: You have already gained some initial hands-on experience in data engineering, data analytics, or data science, for example through internships, working student positions, or personal projects.
- Tech Stack: Initial experience with cloud platforms such as AWS, Azure, or GCP, as well as modern database technologies such as graph, NoSQL, or vector databases, is an advantage but not required. You can learn anything you’re missing with us.
What we offer
- Of course, we’re always here to support you as you start your career in PLM consulting.
- In addition to a tailored, modular training plan, you’ll also have the opportunity to apply your steadily expanding skills in challenging hands-on assignments and take on project tasks with increasing autonomy.
Benefits
Work-Life-Integration
Higher take-home pay
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Sopra Banking Software is a leading provider of software and services to banks and financial institutions around the world. With a team of over 5,000 experts and a pro forma turnover in 2018 of € 373.7 million, we have one of the deepest and broadest portfolios of software and services available. Our unique ability to address the requirements of any size or scope bank allows them to innovate and expand their services offerings.
- 250+ Employees
- 2012
- Digital Agency
- Onsite, Hybrid
- Banking, Finance, Insurance · Internet, IT, Telecommunication
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