Data Engineer PositionI specialise in Tech Recruitment in the DACH region, linking top talent with opportunities at the forefront of Software & System Engineering, Cloud…Our client is hiring Data Engineers in Linz to contribute to a trailblazing Machine Learning platform that redefines real-time predictive analytics. Our client specializes in creating bespoke AI solutions for industries like finance, healthcare, and logistics, offering a next-generation data architecture that integrates seamlessly with large-scale, mission-critical systems. This is your chance to work alongside AI pioneers on projects that push the boundaries of natural language processing, computer vision, and neural network optimisation.Our client is looking for passionate Data Engineer candidates with experience in some or all of the following (full training will be provided to fill any gaps in your skill set):Tech stack: SQL Management Studio, Visual Studio, Azure, Databricks, MLOps, Azure Machine Learning, Synapse Analytics, Event Hubs, Data Lake, Office 365, T-SQL, RDM, Python, ETL (NiFi, Talend, Apache Spark), Big Data (Hadoop, Kafka), Data Warehousing (Redshift, BigQuery, Snowflake), Databases (MySQL, PostgreSQL, Oracle), NoSQL (MongoDB, Cassandra), Data modeling (Erwin, IBM InfoSphere), Version control (Git), Cloud (AWS, GCP), Data integration (Informatica, SSIS), Orchestration (Airflow), Governance and Security tools, BI (Tableau, Power BI), Docker, Kubernetes, Apache Flink.All Data Engineer positions come with the following benefits:Shares in the company.3 hours ‘free time’ each week to investigate new technologies.27 days holiday (excluding Public Holidays) plus your birthday off.Location: Linz, Austria/ Hybrid WorkingTo apply for this position please send your CV to Charlie Skipper at Noir.Applicants must be based in Switzerland and have the right to work in Switzerland even though remote working is available.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology, Consulting, and OtherIndustriesStaffing and Recruiting, Technology, Information and Media, and IT Services and IT Consulting
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