Recherche actuelle

Analytics Solution Engineer- Contract Opportunity

Remote
Inside IR35
6 Months

Responsibilities
* Managing and resolving platform issues, alerts, and incidents
* Maintaining platform artefacts including secrets, clusters, and release components across Palantir Foundry and Azure Databricks
* Supporting Data Engineers with pipeline creation and platform usage
* Implementing Terraform modules, performing health checks, managing secrets, and overseeing release processes
* Conducting GitHub peer reviews and taking ownership of software components
* Ensuring reliability and performance of Databricks and Palantir Foundry platforms
* Delivering DevOps work to build analytics infrastructure, support redlines, and improve processes
* Performing audit data analysis, data restore operations, immutable backups, networking and access configuration
* Managing PowerBI gateways, VM reservations, Event Hub TUs, serverless compute clusters, and Terraform deployments

Required Skills
* Azure Databricks
* Git / GitHub
* DevOps & Cloud Operations
* Azure Functions
* Data Streaming
* PySpark, Python, SQL
* Automation & Public Cloud
* Cloud Infrastructure
* Terraform
* Palantir Foundry
* PowerBI
* Software Lifecycle Management

If you meet the requirements please send me a copy of your

What You'll Be Doing:

-Designing, implementing, and maintaining AWS cloud infrastructure
-Building CI/CD pipelines using tools such as GitHub Actions, GitLab, or AWS CodePipeline
-Automating environment provisioning and deployments (Terraform, CloudFormation)
-Monitoring, troubleshooting, and optimising cloud environments
-Collaborating closely with development teams to drive DevOps best practices

Requirements:

-Strong experience with AWS services (ECS, Lambda, EC2, S3, RDS, IAM, CloudWatch, etc.)
-Solid skills in Infrastructure as Code (Terraform preferred)
-Hands-on experience with CI/CD and automation
-Familiarity with containerisation (Docker, Kubernetes)
-Proficiency in scripting (Python, Bash)
-Fluent Swedish (both spoken and written) - essential

📌 Key Responsibilities:



Design and implement CI/CD pipelines for efficient deployments.

Automate infrastructure and application processes using modern tools.

Ensure system reliability, scalability, and security.

Collaborate with development teams to streamline workflows.



✅ Requirements:



Strong experience with DevOps practices and tools (Docker, Kubernetes, Jenkins, Git).

Proficiency in cloud platforms (AWS preferred).

Knowledge of Infrastructure as Code (Terraform, Ansible).

Solid scripting skills (Python, Bash).

Excellent problem-solving and communication abilities.



📍 Location: Gothenburg, Sweden

⏳ Position: Freelance

🚀 Start Date: ASAP



If you're passionate about automation and cloud technologies, then drop me a message!

Head of Engineering - Permanent

Location: Remote
Reports to: CTO

A fast‑growing technology company is seeking a Head of Engineering with deep experience building and scaling complex, data‑driven platforms. This role requires someone who can lead multi‑disciplinary teams, improve engineering execution, and drive technical excellence across high‑scale distributed systems and machine‑learning environments.

Required Experience

* Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps.
* Proven track record designing, scaling, and maintaining distributed systems and high‑volume data pipelines.
* Strong background in cloud‑native architectures and modern data stacks such as Spark or Databricks.
* Experience working closely with Data Science teams, including delivering production‑grade ML models and pipelines.
* Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross‑functional technical decisions.
* Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability engineering, and cloud infrastructure management (AWS preferred).
* Demonstrated ability to balance delivery speed with long‑term technical quality, reliability, and maintainability.
* Experience hiring, mentoring, and developing engineering leaders and high‑performing teams.

Role Overview

You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine‑learning capabilities at scale. The engineering organisation already uses AI‑assisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for long‑term growth.

Responsibilities

* Lead the engineering roadmap and technical execution across all product and platform teams.
* Guide architectural decisions in data engineering, ML, and web application development.
* Implement engineering KPIs to improve delivery speed, quality, and reliability.
* Develop a strong engineering culture centred on ownership, collaboration, and high performance.
* Partner with Product, Data Science, and DevOps to deliver high‑quality, scalable solutions.
* Manage engineering budgets, tooling, and cloud infrastructure costs.

Preferred

* Experience in search, advertising technology, or competitive intelligence.
* Familiarity with ML lifecycle tooling and agentic coding approaches.

Please send me a copy of your CV of you meet all of the above

Key Details:

Location: Madrid (Remote)
Contract: 6 months
Start: ASAP
Language: Strong English required
Team Player: Essential - you'll collaborate closely with a dynamic team

What We're Looking For:

Proficient in React/TypeScript and Node.js
Strong Python skills

Experience with:

Data sanitization, enrichment, and schema building
Integrating external systems
Security and data handling best practices

Nice-to-have: DevOps & CI/CD experience, MCP integration
5+ years of experience
Familiarity with Claude AI tools is a big plus!

Why Join?

Work on a cutting-edge legal tech solution
Remote flexibility with a collaborative team
Opportunity to shape a product that will transform workflows for lawyers

If this role sounds like the perfect fit for you then apply now or drop me a message!

What You'll Be Working On

-Pairing closely with a Senior DevOps Engineer on infrastructure and platform tasks
-Supporting and improving CI/CD pipelines and automation workflows
-Working with containerized environments and DevOps best practices
-Contributing to internal tooling, reliability improvements, and operational efficiency
-Continuous learning and development in a supportive engineering culture

Requirements:

-AWS or cloud experience
-Linux/Unix systems
-Docker
-Git
-(Bonus) Kubernetes or OpenStack
-A proactive attitude and a willingness to learn fast

If you're at the beginning of your DevOps journey and want to level up quickly in a collaborative environment, I'd love to hear from you.

Job Description

I'm supporting a client who is seeking an experienced Finnish-speaking Azure DevOps Engineer with a strong focus on identity, access management, and secure cloud operations within Azure. This role will play a key part in ensuring platforms are scalable, automated, and aligned with security best practices.



Key Responsibilities



*

Design, build, and maintain CI/CD pipelines using Azure DevOps
*

Implement and manage Azure identity and access management, with a strong focus on Azure AD / Entra ID
*

Define and maintain RBAC, service principals, managed identities, and access policies across environments
*

Automate Azure infrastructure using Infrastructure as Code (Terraform preferred; Bicep/ARM acceptable)
*

Support secure application deployments across multiple environments
*

Work closely with engineering and security teams to enforce least-privilege access and governance standards
*

Monitor, troubleshoot, and improve platform reliability and security
*

Maintain documentation, access models, and operational runbooks



Technical Requirements



*

Strong hands-on experience with Microsoft Azure in production environments
*

Proven experience with Azure DevOps (pipelines, repos, artifacts)
*

Deep understanding of Azure AD / Entra ID, IAM concepts, and access governance
*

Experience implementing RBAC, managed identities, service principals, and conditional access
*

Infrastructure as Code experience (Terraform preferred)
*

Experience with containers and orchestration (Docker, Kubernetes / AKS)
*

Scripting experience (PowerShell, Bash, or similar)
*

Familiarity with monitoring and logging tools (Azure Monitor, Log Analytics, Application Insights)



Nice to Have



*

Experience working in regulated or security-conscious environments
*

Knowledge of Azure Policy, PIM, and access reviews
*

Experience supporting microservices architectures
*

Background working closely with security or platform teams

Senior AI Engineer - Generative AI

Sydney / Melbourne | Contract

Tenth Revolution Group is partnering with a global technology consultancy to appoint a Senior AI Engineer specialising in Generative AI and enterprise AI platforms.

This is a senior technical consulting role suited to someone who combines deep hands-on engineering capability with strong client engagement skills. You'll design and deliver production-grade GenAI systems while helping shape AI capability across large enterprise environments.



The Opportunity

You'll operate at the intersection of advanced AI engineering and client advisory, delivering scalable, secure, enterprise-ready AI solutions.

This role is ideal for someone who:

* Has deployed Generative AI into production environments
* Enjoys solving complex enterprise challenges
* Can translate emerging AI capabilities into real business outcomes
* Is comfortable working directly with senior stakeholders



Key Responsibilities

* Design and implement production-grade GenAI solutions
* Build and deploy systems leveraging LLMs, embeddings, and retrieval-based architectures
* Develop secure, scalable AI platforms integrating data pipelines and APIs
* Deliver full-stack AI solutions, including backend services and user-facing applications
* Ensure enterprise standards across performance, security, compliance and maintainability



Skills & Experience

* Strong software engineering background with hands-on AI/ML delivery
* Recent experience deploying Generative AI solutions into production
*

Experience working with L arge Language Models (LLMs), embedding and vector search, retrieval-augmented architectures, Prompt engineering and orchestration frameworks
* Proficiency in Python and modern backend development
* Experience with modern frontend frameworks (React, Angular or similar)
* Strong cloud experience deploying AI workloads in enterprise environments
* Understanding of MLOps / DevOps practices for scaling AI systems
* Ability to communicate complex AI concepts to technical and business stakeholders
* Consulting or client-facing experience highly regarded



Why Apply?

* Work on enterprise-scale AI transformation programs
* Influence how Generative AI is deployed across major organisations
* Combine deep technical work with advisory exposure
* Join a growing AI capability within a global consulting environment



Apply now or contact Tenth Revolution Group for a confidential discussion.

Contact:

Neros Gorges
(03) 8592 0507
n.gorges@tenthrevolution.com

#SCR-neros-gorges

Data Engineer (AWS) - Remote - £80,000

An exciting, high-growth technology scale‑up is seeking a Data Engineer to help evolve and strengthen its modern data foundations. This organisation builds a global, API‑first platform used by major enterprise brands to improve data quality, automate workflows, and enhance the reliability of their marketing and operational data.

This is a fantastic opportunity to join a business experiencing rapid expansion, where data is central to product innovation, analytics, machine learning, and AI initiatives. You'll work with modern tooling, collaborate closely with Engineering and DevOps, and help shape a robust, scalable data ecosystem.



The Role

As a Data Engineer, you will play a key role in building and improving data pipelines, increasing access to platform and event data, and developing reliable, reusable datasets that support analytics and data‑driven decision‑making.

You'll take ownership of evolving the company's AWS‑based data infrastructure and contribute directly to high‑impact initiatives across analytics, ML, and AI.



Key Responsibilities:

* Build, maintain and enhance data pipelines from operational systems into analytics platforms
* Partner with Engineering & DevOps to support ingestion, replication and platform data flows
* Define data storage strategy and manage data in AWS S3
* Build analytics‑ready datasets in AWS Redshift, using dbt for transformation
* Improve data quality, monitoring and documentation across the data stack
* Support ML/AI initiatives with clean, well‑structured datasets
* Ensure data practices align with GDPR, security and compliance standards



Experience Required

* Strong SQL skills and experience working with AWS Redshift
* Strong Python experience for production data pipelines
* Hands‑on experience with dbt for modelling and transformations
* Familiarity with AWS services
* Comfortable partnering with Engineering and DevOps on data workflows
* Understanding of version control and CI/CD best practices

Benefits:

* 25 days' annual leave and your birthday off
* Stock options eligibility
* Remote working
* Career development opportunities in a scaling tech environment
* Employee Assistance Programme - 24/7 wellbeing support
* Regular team socials and events
* Pension plan

Data Engineer (AWS) - Remote - £80,000

An exciting, high-growth technology scale‑up is seeking a Data Engineer to help evolve and strengthen its modern data foundations. This organisation builds a global, API‑first platform used by major enterprise brands to improve data quality, automate workflows, and enhance the reliability of their marketing and operational data.

This is a fantastic opportunity to join a business experiencing rapid expansion, where data is central to product innovation, analytics, machine learning, and AI initiatives. You'll work with modern tooling, collaborate closely with Engineering and DevOps, and help shape a robust, scalable data ecosystem.



The Role

As a Data Engineer, you will play a key role in building and improving data pipelines, increasing access to platform and event data, and developing reliable, reusable datasets that support analytics and data‑driven decision‑making.

You'll take ownership of evolving the company's AWS‑based data infrastructure and contribute directly to high‑impact initiatives across analytics, ML, and AI.



Key Responsibilities:

* Build, maintain and enhance data pipelines from operational systems into analytics platforms
* Partner with Engineering & DevOps to support ingestion, replication and platform data flows
* Define data storage strategy and manage data in AWS S3
* Build analytics‑ready datasets in AWS Redshift, using dbt for transformation
* Improve data quality, monitoring and documentation across the data stack
* Support ML/AI initiatives with clean, well‑structured datasets
* Ensure data practices align with GDPR, security and compliance standards



Experience Required

* Strong SQL skills and experience working with AWS Redshift
* Strong Python experience for production data pipelines
* Hands‑on experience with dbt for modelling and transformations
* Familiarity with AWS services
* Comfortable partnering with Engineering and DevOps on data workflows
* Understanding of version control and CI/CD best practices

Benefits:

* 25 days' annual leave and your birthday off
* Stock options eligibility
* Remote working
* Career development opportunities in a scaling tech environment
* Employee Assistance Programme - 24/7 wellbeing support
* Regular team socials and events
* Pension plan