Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop robust data pipelines, integrate heterogeneous data sources, and implement AI algorithms for real-time analytics in modern data architectures.
Job Technologies
Your role in the team
As a Data Engineer for Live Intelligence, you are 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), modern database technologies, and workflow automation solutions to integrate, model, and prepare complex data streams from various sources for analysis.
Your responsibilities include, among others:
- Pipeline Design: Building, maintaining, and optimizing robust data pipelines
- Data Integration: Consolidation and Modeling of Data from Heterogeneous Sources
- Analytics & AI: Implementation of algorithms for data analysis and AI models in production environments.
- Modern Data Architecture: Utilization of modern database concepts to model complex structures as well as the use of tools for workflow automation.
- Teamwork: Close collaboration with analysts, developers, and business units to deliver data-driven solutions directly into the application.
- Data Governance: Ensuring high data quality as well as compliance with security and governance standards.
- Visualization: Preparation of the results in dashboards for intuitive use.
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Our expectations of you
Qualifications
Coding Skills: You possess solid knowledge of relevant programming languages (e.g., Python, SQL, JavaScript, HTML, or CSS).
Mindset: You have a strong interest in AI technologies and are eager to help shape modern data infrastructures.
Desirable:
- Industry knowledge: An understanding of industrial processes (e.g., aerospace, automotive, energy) helps you better understand the data.
- Tech Stack: Initial experience with cloud platforms (e.g., AWS, Azure, GCP) or specialized database technologies (e.g., Graph or NoSQL databases) is a plus but not a must - we will teach you what you need to know.
- Methodology: Knowledge of modern workflow tools or CI/CD processes completes your profile.
Experience
- Experience: You have already gained some practical experience in the field of Data Engineering, Data Analytics, or Data Science (e.g., through internships, working student positions, or personal projects).
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Benefits
Work-Life-Integration
More net
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Sopra Banking Software
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.
Description
- Company Size
- 250+ Employees
- Founding year
- 2012
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance, Internet, IT, Telecommunication
Data Engineer for Live Intelligence
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
