Devops Engineer
Amsterdam / €60000 - €80000 annum
INFO
SALARY:
€60000 - €80000
LOCATION
Amsterdam
Permanent
Data Infrastructure Analyst
Amsterdam, Netherlands
Competitive salary
This role stands out for its hands on impact. You will take ownership of building and shaping modern cloud data infrastructure, working with Infrastructure as Code and Azure services to create scalable, secure platforms that enable data driven decision making across the business.
The Company
They are a technology driven organisation investing heavily in their cloud and data capabilities. Data plays a central role in how they operate, and they are focused on building reliable, well engineered platforms to support analytics and innovation. You will join a collaborative environment where quality, automation and continuous improvement are valued.
The Role
You will play a key role in designing, deploying and maintaining Azure based data infrastructure.
- Build and manage Infrastructure as Code using Bicep and Terraform.
- Develop and maintain CI CD pipelines in Azure DevOps to support reliable deployments.
- Automate infrastructure and operational tasks using PowerShell, Azure CLI and Python where appropriate.
- Support and optimise Azure services including compute, storage, networking and data platforms.
- Monitor, troubleshoot and improve performance, security and cost efficiency.
- Collaborate closely with data engineers and other stakeholders to deliver robust solutions.
- Document designs, standards and processes to support long term maintainability.
Your Skills & Experience
- Strong commercial experience with Infrastructure as Code, particularly Bicep and Terraform.
- Hands on experience building and maintaining Azure DevOps CI CD pipelines.
- Confident scripting skills with PowerShell and Azure CLI.
- Practical knowledge of Azure services such as Virtual Machines, Storage, Networking, Key Vault, Log Analytics and data services like Databricks or Data Factory.
- A proactive mindset with the ability to take ownership and work independently within a team environment.
What They Offer
- Competitive salary package.
- The opportunity to work on greenfield and evolving cloud data platforms.
- Clear scope for technical growth and progression within data and cloud engineering.
- A supportive, collaborative culture that values learning and best practice.
How to Apply
Apply now to explore how this Data Infrastructure Analyst role could be the next step in your cloud and data career.
CONTACT
Charlotte York
Manager - Netherlands
SIMILAR
JOB RESULTS
Devops Engineer
Amsterdam
€60000 - €80000
+ Data Engineering
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Data Infrastructure Analyst
Amsterdam, Netherlands
Competitive salary
This role stands out for its hands on impact. You will take ownership of building and shaping modern cloud data infrastructure, working with Infrastructure as Code and Azure services to create scalable, secure platforms that enable data driven decision making across the business.
The Company
They are a technology driven organisation investing heavily in their cloud and data capabilities. Data plays a central role in how they operate, and they are focused on building reliable, well engineered platforms to support analytics and innovation. You will join a collaborative environment where quality, automation and continuous improvement are valued.
The Role
You will play a key role in designing, deploying and maintaining Azure based data infrastructure.
- Build and manage Infrastructure as Code using Bicep and Terraform.
- Develop and maintain CI CD pipelines in Azure DevOps to support reliable deployments.
- Automate infrastructure and operational tasks using PowerShell, Azure CLI and Python where appropriate.
- Support and optimise Azure services including compute, storage, networking and data platforms.
- Monitor, troubleshoot and improve performance, security and cost efficiency.
- Collaborate closely with data engineers and other stakeholders to deliver robust solutions.
- Document designs, standards and processes to support long term maintainability.
Your Skills & Experience
- Strong commercial experience with Infrastructure as Code, particularly Bicep and Terraform.
- Hands on experience building and maintaining Azure DevOps CI CD pipelines.
- Confident scripting skills with PowerShell and Azure CLI.
- Practical knowledge of Azure services such as Virtual Machines, Storage, Networking, Key Vault, Log Analytics and data services like Databricks or Data Factory.
- A proactive mindset with the ability to take ownership and work independently within a team environment.
What They Offer
- Competitive salary package.
- The opportunity to work on greenfield and evolving cloud data platforms.
- Clear scope for technical growth and progression within data and cloud engineering.
- A supportive, collaborative culture that values learning and best practice.
How to Apply
Apply now to explore how this Data Infrastructure Analyst role could be the next step in your cloud and data career.
To Apply for this Job Click Here
Lead Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
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Lead Data Scientist
England
£450-£480 Outside IR35
Remote
The Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.
The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.
Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.
How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.
To Apply for this Job Click Here
MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Platform Manager (Palantir)
London
Rate: £550-£650 Outside IR35 Per Day
Work Type: Fully remote
Start: ASAP
The Company
They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence.
The Role and Deliverables
- Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience.
- Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks.
- Define and embed standard MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
- Lead platform releases and upgrades, including planning, testing, communication and rollback where required.
- Implement and maintain security, risk and compliance controls for data and machine learning workloads.
- Manage the platform roadmap, cost optimisation activities and key supplier relationships.
Your Skills & Experience
- Strong experience operating Palantir platforms in production, or comparable enterprise data platforms, with ownership of platform operations.
- Proven capability delivering MLOps practices end to end, including CI/CD, automation, monitoring and model governance.
- Experience working closely with security, risk and governance teams to evidence controls and support audits.
- Confident stakeholder management skills, able to balance delivery speed, cost and risk across technical and non technical teams.
- A service owner mindset with a focus on stability, continuous improvement and enabling delivery teams.
How to Apply
Apply now to discuss this contract opportunity and how it could align with your experience.
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MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
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MLOps Platform Manager (Databricks)
London
£550-£650 Outside IR35 Per Day
Fully Remote
Start date: ASAP
The Company
They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work.
The Role and Deliverables
Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance and stability.
Establish and run service management processes including incident, problem and change management, with clear documentation and escalation paths.
Define and deliver standardised MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
Lead platform releases and upgrades, including planning, testing and communication to stakeholders.
Implement and maintain security, risk and compliance controls across data and machine learning workloads.
Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience.
Your Skills and Experience
Strong experience operating Databricks in production, including workspace administration, cluster policies, jobs and data governance controls.
Proven capability delivering MLOps practices end to end, from CI/CD and automation through to model monitoring and observability.
Experience owning platform operations and service management in a complex, enterprise environment.
Confidence working with security, risk and governance stakeholders to evidence controls and support audits.
Ability to engage and influence across data engineering, data science and analytics teams, balancing speed, cost and risk.
How to Apply:
If this contract sounds like a good fit for your experience and interests, please apply to find out more.
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QlikView Consultant
London
£500 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
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QLIKVIEW CONSULTANT
HYBRID ROLE (1 DAY PER WEEK IN OFFICE)
OFFICES IN COVENTRY AND LONDON
INSIDE IR35
£500 P/D
6 MONTH CONTRACT WITH OPPORTUNITY OF EXTENSION
The Company
They are a UK‑headquartered commercial property company that owns, develops, and rents warehouses and factories to major national and international organisations. Their portfolio supports large‑scale logistics, manufacturing, and distribution operations across the UK and Europe.
The Role and Deliverable
* Take ownership of the legacy QlikView platform, ensuring it remains stable and reliable for business‑critical reporting
* Improve and maintain existing QlikView reports, addressing inconsistencies, technical debt, and poor data quality
* Project manage demand across a messy reporting landscape, prioritising fixes and enhancements with the business
* Act as the main interface between stakeholders and third‑party suppliers, translating requirements into delivery
* Challenge supplier solutions and ways of working to ensure they are pragmatic and fit for purpose
* Support planning for the eventual decommissioning or migration of QlikView as part of a broader Microsoft‑centric strategy
Your Skills & Experience
* Strong hands‑on experience with QlikView development and platform management
* Proven ability to work within legacy environments and bring order to complex or poorly structured data
* Confidence engaging with non‑technical stakeholders to understand reporting needs and pain points
* Experience project managing reporting workstreams and coordinating third‑party suppliers
* Solid understanding of SQL and wider data and reporting architectures
Please apply here or send your CV
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Qlik Consultant
London
£450 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
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Location: London or Coventry – 1 day per week onsite (occasional travel to Slough)
Contract: 6 months (high likelihood of extension)
IR35: Inside IR35
Rate: Up to £500 per day
Start: Ideally in May
Overview
The business is currently going through a wider transition across its reporting, analytics and data capability, moving towards a more efficient microsoft/Power BI-led reporting stack with increased focus on automation and AI-driven systems.
The current environment has a heavy reliance on offshore and third-party partners, with a number of processes and reporting workflows still operating manually. There is also a legacy QlikView estate that was originally planned for decommissioning last year, but remains business critical during the transition period.
Role Focus
- Own and maintain the existing QlikView reporting estate
* Act as the bridge between business users and external suppliers/offshore teams
* Support the ongoing transition from QlikView to the future reporting stack
* Enhance, maintain and troubleshoot QlikView reports and dashboards
* Gather and translate business requirements into technical/reporting solutions
* Challenge suppliers on delivery quality, technical approach and best practice
* Support migration and decommissioning activities across the reporting ecosystem
* Combine hands-on development capability with delivery coordination, analysis and light project management responsibilities
Required Experience
- Strong hands-on QlikView experience
* Experience working across both technical delivery and business-facing requirements gathering
* Strong stakeholder and supplier/vendor management skills
* Comfortable operating within legacy/on-prem environments whilst supporting modernisation programmes
* Strong SQL skills
* Experience supporting reporting migrations, decommissioning or transition programmes is highly beneficial
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Technical Programme Manager
London
£550 - £650
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Location: London – occasional visits
Contract: Initial 3 months (likely extension)
IR35: TBC
Rate: TBC
Start: Immediate – 18th May latest start
Overview
We’re supporting a fast-growing AI-native SaaS business, they are looking for a Senior Technical Programme Manager to lead a high-profile enterprise delivery programme, coordinating cross-functional teams across DataOps, Data Science, ML, Insights and Customer Success.
This is a delivery-first role focused on driving execution, managing enterprise stakeholders, and ensuring complex customer deployments remain on track in a fast-paced environment.
Role Focus
* Lead enterprise-scale AI/data delivery programmes
* Coordinate cross-functional teams across technical and operational functions
* Run steering committees, executive updates and customer delivery sessions
* Translate business requirements into technical specifications and delivery plans
* Manage sprint delivery, dependencies, risks and quality gates
* Support taxonomy/classification rollout projects and operational processes
* Work closely with DataOps, ML and engineering teams to drive delivery outcomes
Required Experience
* Strong technical programme/project delivery experience within SaaS, AI, ML or data product businesses
* Experience working across DataOps, Data Science or analytics environments
* Strong enterprise stakeholder management and customer-facing delivery experience
* Comfortable operating between technical and business teams
* Experience managing complex, fast-paced delivery programmes
* Exposure to taxonomy/classification or unstructured data projects is beneficial
To Apply for this Job Click Here
Staff AI Engineer
Palo Alto
$250000 - $350000
+ Data Science & AI
PermanentPalo Alto, California
To Apply for this Job Click Here
STAFF AI ENGINEER
Palo Alto, California, United States (On-site / Hybrid)
The Role
We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll take foundation models and turn them into scalable, reliable systems used for copilots, automation, and internal workflows.
You’ll work across architecture and implementation in a fast-moving environment with rapid production iteration.
What You’ll Build
- Production LLM-powered services and applications
- Enterprise copilots and conversational AI systems
- Text-to-code and natural language SQL systems
- Agent frameworks and tool-using AI systems
- Workflow automation powered by foundation models
- API layers for LLM integration across systems
- Scalable GenAI infrastructure and deployments
- CI/CD pipelines for AI services
What You Bring
- 8-12+ years software or ML engineering experience
- Strong experience building production LLM or ML systems
- Deep understanding of foundation models and LLM APIs
- Strong backend and distributed systems experience
- Experience with AWS production environments
- Kubernetes / containerized deployment experience
- Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
- ML engineering background over traditional full-stack
- Experience building GenAI or agentic systems in production
- Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
- Build and scale core GenAI infrastructure with real impact
- High ownership from architecture through production
- Fast iteration cycles and strong technical autonomy
- High visibility with senior technical leadership
- Opportunity to shape foundational AI systems at scale
- Opportunity to shape foundational AI systems at scale
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Principal Software Engineer
San Francisco
$280000 - $350000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
PRINCIPAL SOFTWARE ENGINEER
BAY AREA, CA (3 DAYS IN OFFICE)
$280,000 – $350,000+ (BASE + EQUITY)
An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.
THE COMPANY
A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.
THE ROLE
Hands-on engineering and AI work across the platform:
- Build agentic GenAI workflows using internal datasets
- Develop marketing and growth systems: email delivery, personalization, engagement tracking
- Create commercial AI models to understand user behavior and engagement
- Collaborate across product and engineering teams
- End-to-end coding, system design, and customer validation
YOUR SKILLS & EXPERIENCE
- Backend: Python, Django or Flask or FastAPI
- Frontend: React
- Cloud/Infrastructure: AWS
- Databases: PostgreSQL
- AI/ML: OpenAI; knowledge of agent systems helpful
- Experience with large-scale data and knowledge systems is a plus
- Comfortable working in a lean, high-ownership environment
HOW TO APPLY
Please register your interest by sending your resume to Calum Reid via the apply link on this page.
To Apply for this Job Click Here
Staff AI Engineer
New York City
$250000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
STAFF AI ENGINEER
New York, United States (On-site / Hybrid)
The Role
We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll turn foundation models into reliable, scalable systems that power copilots, automation, and internal AI workflows.
You’ll operate across architecture and implementation with fast iteration from idea to production.
What You’ll Build
- Production LLM-powered services and applications
- Enterprise copilots and chat-based systems
- Text-to-code and natural language SQL interfaces
- Agent frameworks and tool-using AI systems
- Workflow automation powered by foundation models
- API layers for LLM integration across systems
- Scalable, secure GenAI deployments
- CI/CD pipelines for AI services
What You Bring
- 8-12+ years software or ML engineering experience
- Strong experience building production LLM or ML systems
- Deep understanding of foundation models and LLM APIs
- Strong backend and distributed systems experience
- Experience with AWS production environments
- Kubernetes / containerized deployment experience
- Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
- ML engineering background over traditional full-stack
- Experience building GenAI or agentic systems in production
- Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
- Build foundational GenAI systems with real enterprise impact
- High ownership across architecture and execution
- Fast iteration cycles from idea to production
- High visibility and technical influence
- Opportunity to shape core AI infrastructure
To Apply for this Job Click Here
SOFTWARE MANUFACTURING LEADER
Dallas
$300000 - $400000
+ Data Engineering
PermanentDallas, Texas
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SOFTWARE MANUFACTURING LEADER
Dallas, Texas, United States (On-site)
The Role
We’re hiring a Software Manufacturing Leader to drive global manufacturing technology transformation across a large-scale industrial environment.
This is a senior executive role with ownership of manufacturing systems, data platforms, AI/ML strategy, and infrastructure modernization. You’ll define and execute the technology roadmap enabling factory expansion, throughput improvement, and cost efficiency.
What You’ll Drive
- Manufacturing technology strategy across production environments
- Data and platform modernization for real-time operational insights
- AI/ML adoption (predictive maintenance, yield optimization, forecasting)
- Cloud and infrastructure strategy to support scale
- Modern software practices (DevOps, CI/CD, agile)
- Global team leadership and cross-functional alignment
Technology Focus
- Real-time data platforms and unified data architecture
- Cloud-native and hybrid infrastructure
- Manufacturing systems (MES, process control, yield systems)
- Automation, IoT, robotics, and computer vision
What You Bring
- 15+ years leadership experience in manufacturing or industrial environments
- Proven track record driving large-scale technology transformation
- Deep experience in AI/ML, data platforms, and cloud infrastructure
- Strong background in manufacturing systems and automation
- Experience leading global teams and delivering measurable operational impact
Why This Role
- Executive ownership of manufacturing technology at global scale
- Direct impact on operational performance, cost, and expansion
- High visibility with senior leadership
- Opportunity to drive next-generation manufacturing through AI and automation
To Apply for this Job Click Here
Data Engineer
Liverpool
£30000 - £40000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
DATA ENGINEER
up to £38,000 + benefits
Liverpool (Hybrid)
This is a great opportunity to join a purpose‑driven organisation where you can take ownership of data development and help modernise a traditional data estate as part of a growing Data & Insight function.
THE COMPANY:
This organisation is forward‑thinking and technology‑driven, with a strong focus on using data to improve people’s lives.
They are investing in a new data strategy and modern Microsoft stack, creating an excellent environment for someone early in their data career to grow and develop.
THE ROLE:
You will take ownership of SQL‑driven data development and reporting, supporting both BAU activity and longer‑term transformation projects. Working closely with the Data Engineering Manager, you’ll help deliver reliable data products for the wider business.
Key responsibilities include:
- Building and maintaining SQL‑based ETL pipelines across SSIS and Azure Data Factory
- Developing and delivering Power BI dashboards, datasets and data models
- Supporting and maintaining some existing SSRS reports
- Contributing to the ongoing modernisation of the data warehouse and presentation layer
- Supporting the transition toward Python, Azure and Microsoft Fabric
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- SQL and ADF (Azure Data Factory)
- Power BI report development and data modelling
- Working with data warehouses and structured datasets
- Supporting ETL processes and data pipelines
- Communicating clearly with technical and non‑technical stakeholders
THE BENEFITS:
You will receive a salary of up to £38,000.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
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