We are searching for a data engineer in Stavanger!
Your role will involve designing, developing and maintaining data infrastructure in 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
What's in it for you?
You will be part of a cross-functional data environment consisting of data engineers, scientists, analysts and developers who range in seniorities and experiences
We offer opportunities to progress into technical & team leadership, architecture, and always encourage learning new technologies
You will be able to take courses, certifications and attend conferences during your working hours to enhance your knowledge
We invite all colleagues to contribute in decision-making and make sure your voice is heard across the business
We offer a great benefits package including a competitive salary based on your experience along with an additional bonus scheme, there is an enhanced pension scheme and insurances, along with funding for equipment, education budget, and company-funded social activities
We have created a relaxed and social working environment with modern facilities and spaces to collaborate & socialise
There are regular lunches, sporting activities, and social outings which have included visits to the theatre, museums, and wine tasting. We also hold annual company-wide trips to the mountains to bring all of our colleagues together and enjoy good food, music and scenery
We have a hybrid working policy with flexible hours and home/office working. Most of our colleagues visit the office 3 times per week but this can vary depending on project demands
For any questions, contact Lucy on l.whiting@tenthrevolution.com