
Data Engineer
3 days ago
Get AI-powered advice on this job and more exclusive features.
TRG - Norway - Data & Software DevelopmentWe are searching for a data engineer in Stavanger
Your role will involve designing, developing and maintaining data infrastructure in the cloud to allow colleagues in data science and analytics to access insights & create solutions, and support stakeholders in making informed decisions.
Your role can cover:
- Data Integration and Processing: Collaborating with internal teams and external partners to identify and integrate diverse datasets from different sources, and utilise ETL processes to cleanse, transform, and enrich data for analysis.
- Data Modelling and Architecture: Design and implement scalable data models and architectures optimised for performance, scalability, and reliability. Develop and maintain data warehouses and data lakes to support needs.
- Analytics and Visualisation: Develop data pipelines to enable advanced analytics, predictive modelling, and machine learning applications. Use tools such as Power BI to create interactive dashboards and reports that provide valuable insights into energy consumption, production, and trends.
- Optimisation and Automation: Continuously monitor and optimise data pipelines and workflows to improve efficiency and reduce latency. Implement automation techniques to streamline data ingestion, processing, and analysis.
We are looking for you to have some of the following skills/experiences:
- Bachelors and/or Masters in an IT or Engineering related subject.
- Proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage for data integration, processing, storage, and analytics in the cloud.
- Experience in developing and deploying ETL solutions using SSIS to extract, transform, and load data from disparate sources into SQL Server databases.
- Familiarity with DevOps practices and tools for version control, continuous integration, and automated deployment of data solutions.
- Strong skills in data visualisation and reporting using Power BI.
- Proficiency in Python and SQL.
For any questions, contact Lucy on l.whiting@tenthrevolution.com.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesData Infrastructure and Analytics
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