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🚨 6-MONTH CONTRACT OPPORTUNITY 🚨
START DATE: ASAP
LOCATION: Stavanger / Remote

Datacenter Deployment Lead

We're hiring on behalf of a leading client for a Datacenter Deployment Lead to support the rollout of cutting-edge GPU infrastructure. This is a key role for someone who thrives in high-performance environments and has a passion for datacenter excellence.

In this position, you'll lead the physical deployment of large-scale datacenter hardware-from initial design to final installation. You'll ensure everything is optimized for performance, scalability, and reliability, supporting infrastructure that powers AI and compute-intensive applications.

Key Responsibilities

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Design and implement rack layouts for servers, GPUs, and switches
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Review and validate Bills of Materials (BOMs) for performance and compatibility
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Plan and manage structured cabling, including routes, lengths, and procurement
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Ensure installations meet datacenter constraints (power, cooling, weight)
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Assist with the setup and initial configuration of network hardware (firewalls, routers, switches)
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Serve as the on-site technical lead during deployments, resolving issues on the ground
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Develop and maintain deployment documentation and standards

What You Bring

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Deep knowledge of structured and fiber cabling (AOC, DAC, optics)
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Strong hands-on experience with datacenter hardware and networking systems
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Proven ability to assess and optimize BOMs
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Solid track record of leading datacenter deployments
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Familiarity with CMDB tools like Netbox
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Excellent problem-solving, documentation, and communication skills

Bonus Skills

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Scripting or automation experience (Python, Ansible)
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Understanding of Infiniband fabrics and AI-optimized networking
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Ability to diagnose and improve AI fabric performance

This is an exciting chance to work on some of the most advanced infrastructure in the industry. If you're ready to take the lead on high-impact deployments-apply now!

Senior Data Engineer - Media Industry

A leading organization is seeking a Senior Data Engineer to play a pivotal role in shaping its data and insights capabilities. This is a unique opportunity to contribute to the development and evolution of a modern Data & Insights Platform, provide architectural guidance, and help operationalize a forward-looking data strategy. The role reports to the Head of Data & Insights.

Role Overview

* Drive the implementation of the data strategy by developing foundational data infrastructure, data products, and platform capabilities.
* Champion best practices in data engineering and foster continuous improvement.
* Collaborate with data analysts and data scientists to understand data requirements and deliver accessible data products for their various publications.
* Stay abreast of emerging technologies and trends in the data space.

Key Responsibilities

Technical Leadership & Development

* Provide hands-on technical leadership, including coding and development, aligned with architectural principles and best practices.
* Contribute to data architecture, modeling, pipeline development, and technology optimization.
* Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP services (especially BigQuery, Cloud Storage, Cloud Functions, and Dataflow)
* Lead pilot projects to validate implementation approaches and technology choices.
* Promote the adoption of modern data technologies such as dbt for data transformation, DataOps practices, and internal tooling to empower data usage across teams.
* Shape the strategy and roadmap for the Data & Insights Platform in alignment with business needs.

Team Collaboration

* Foster a collaborative and focused team environment.
* Mentor team members and support skill development, particularly in data platforms.
* Participate in team building and recruitment efforts.

Qualifications

* Fluent in English and Norwegian, both spoken and written.
* Master's degree in Computer Science, Engineering, or a related fields

Preferred Qualifications

* At least 3 years of experience in data migration projects using modern tools and technologies.
* Strong background in Agile methodologies.

We are searching for a data engineer in Oslo!

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