Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 61.000 € Gross/Year
- Location
- Gemeinde Furth bei Göttweig
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop AI and data architectures, design technical concepts and roadmaps, assess technologies, and implement scalable data solutions for complex applications for clients.
Job Technologies
Python Azure DevOps Apache Spark Scala MLflow Go Oracle AWS Snowflake
Apache Kafka Amazon Neptune Azure Synapse Jenkins MongoDB Cloudera CDH Anthropic Fabric Google Cloud Platform Azure PyTorch LlamaIndex RESTful API Docker SQL InfluxDB HuggingFace ArangoDB
Redis PostgreSQL LangChain Azure Search MS SQL-Server SOAP R Java Git C# Azure Cosmos DB Kubernetes
Your role in the team
- We support our clients end-to-end - from the strategic, AI-native realignment & goal setting of the organization, through the conception & development of cutting-edge AI solutions, to the technical design & implementation of AI & data platforms.
- Utilize your technical expertise and passion for modern technologies to shape the next generation of AI and data architectures for our clients and to advance the deployment of generative and agentic AI.
- As part of an interdisciplinary team, you, as a Technology Consultant, identify the appropriate technologies and architectures to make data and AI applications efficient and scalable.
- You evaluate technological options, design target architectures, and derive robust technical concepts and roadmaps from them.
- At Accenture, you work with leading companies and institutions worldwide on groundbreaking solutions.
- The goal: to identify, design, test, and successfully implement data-driven use cases — from the initial idea to scaling.
- In close collaboration with decision-makers and implementation teams, you are responsible for the technical realization of solutions in the AI and data domain.
- You ensure a seamless integration into existing system landscapes and support the transition to productive operation—with a particular focus on stability, security, scalability, and long-term maintainability.
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Our expectations of you
Education
- Successful completion of a relevant Master's or PhD degree in the IT field, preferably with a focus on AI, Data Engineering, Software Engineering, or Databases.
Qualifications
- Advanced knowledge in these areas is assumed: Software Engineering (e.g., Python, Scala, Java, C#, Go), Version Control Systems (e.g., Git, Azure DevOps), Data Manipulation (e.g., SQL, R, Spark), SQL Databases (e.g., MS SQL Server, Oracle, Postgres), Web APIs (e.g., REST, SOAP).
- Data Architecture & Engineering: Data Warehouse/Data Integration (e.g., Databricks, Snowflake, MS Fabric, BigQuery, Azure Synapse) as well as NoSQL databases (e.g., Azure Cosmos DB, MongoDB, InfluxDB)
- Knowledge in one or more of the following areas is a plus: Continuous Integration & Delivery (e.g., Unit Testing, Jenkins, Release Management), Cloud Architectures (e.g., AWS, Azure, GCP - certifications preferred), Big Data / In-Memory Databases (e.g., Cloudera, Redis), Graph Databases (Neo4j, Amazon Neptune, ArangoDB), Streaming Platforms (e.g., Apache Kafka, Azure Event Hubs), Containerization & Orchestration (e.g., Docker, Kubernetes).
- Project-related mobility, strong communication skills in German and English, and a high customer orientation.
Experience
- At least 2-3 years of professional experience in a relevant field.
- Additionally, we expect expertise in one of the following core areas: Advanced AI: AI & ML Development (LangChain/Graph, LlamaIndex, PyTorch, MLflow) as well as experience with LLM Foundation-/Fine Tuned Models (OpenAI, Mistral, Anthropic, Hugging Face) and vector databases (Azure AI Search, Chroma DB, PgVector).
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What we offer
- Attractive benefits of a global company
- Access to international knowledge and expert networks
- Flexible working time models & Homeoffice
- Extensive training and development opportunities
- Collaboration with leading experts
- Continuous professional and personal development
- In addition to exciting projects, we offer you a very attractive compensation package, flexible working hours, a modern environment, and many other additional benefits.
- You have the opportunity with us to actively influence your annual income positively based on your individual performance.
- The annual gross salary for this position starts, depending on qualifications and experience, at €61,000.
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Benefits
Health, Fitness & Fun
More net
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Accenture GmbH
Wien, Linz
Accenture is one of the world's leading professional services firms, renowned for its consulting and outsourcing services with a focus on Strategy, Digital, Technology and Operations.
Description
- Founding year
- 1993
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(3 Reviews)3.8
Career Growth
3.8Engineering
3.0Workingconditions
4.3Culture
3.9