Join to apply for the Data Engineer role at Opplæringskontoret for Offshore fag.
About Our Client: Our client is a Digital & AI Consultancy that works to provide collaborative, enduring, and exquisite support to its clients. Powering Digital Transformation, supporting innovation sprints whilst enduring capabilities to realize competitive advantage and sustained value for their clients.
Role Overview: This role offers a fantastic opportunity for growth and impact within a rapidly growing company, using the absolute best in Software and Technology.
* Objective: Solve user problems by integrating data into a foundational model and creating workflows that enhance decision-making within enterprises.
* Environment: Work with experienced and early talent engineers on diverse projects, gaining firsthand experience in data management, analysis, and AI technologies.
Technical Skills:
* Understanding a level of familiarity with Palantir (expert to aware of the name to nothing) and which product suite (Foundry, Gotham, AIP) will be important.
* Decomposition of customer problems into operational workflows including database and UI design.
* Data Engineering experience, familiarity with Pyspark.
* Typescript Skills.
* API/Data Connection Skillsets.
* REACT skills.
* Experience of PowerBI, Tableau would be noted for visualization skills but not an applicable skillset.
* Specialist skills in model deployment, optimization models, and prompt engineering are of interest.
* This role seems perfect for someone enthusiastic about technology and eager to make a significant impact.
Key Responsibilities:
* Solution Design: Decompose and design solutions based on client problem sets and data exploration.
* Data Pipeline Development: Assist in designing, developing, and maintaining data pipelines and ETL processes.
* Workflow Creation: Build and edit operational workflows, including front ends and decision-support tools using Palantir and integrated front ends.
* AI Implementation: Collaborate to implement AI and machine learning models to address user problems.
* Continuous Learning: Engage in personal development and contribute to the clients Lab for technical and best practice reach back, including upskilling peers or junior engineers.
* Client Engagement: Build deep, sustainable relationships with clients, positioning yourself/us as their 'trusted advisor.'
Seniority Level
* Entry level
Employment Type
* Full-time
Job Function
* Information Technology
* Industries: Data Infrastructure and Analytics
#J-18808-Ljbffr