senior infrastructure engineer

metropolitan gaming

<div><p><b>About Us</b></p>
<p>Metropolitan Gaming is about more than the games or the buzz of the venue.<br>
It&rsquo;s about energy. Atmosphere. Service that&rsquo;s sharp and in sync with the moment.</p>
<p>Driven by people, we&rsquo;re a diverse, close-knit team who back each other, celebrate wins and create great experiences together. If you&rsquo;re upbeat, curious and ready to get involved, you&rsquo;ll feel at home here. Personality matters. Every shift is a chance to make your mark.</p>
<p> <b>Why Join Us</b></p>
<p>A place to grow, not just a job. You&rsquo;ll be recognised for great work and given opportunities to build your skills and grow your career</p>
<p><b>Alongside competitive pay, you can also:
</b></p><ul><li>Discounts and perks across travel, retail, hospitality and wellbeing</li>
<li>Company pension scheme and life insurance cover</li>
<li>Discount on Food and non-alcoholic beverages across all venues</li>
<li>Season ticket loan and cycle to work scheme</li>
<li>Refer a friend bonus reward</li>
</ul>
<p><b>What We Are Looking For:</b></p>
<p>The Senior Infrastructure Engineer is responsible for designing, implementing, supporting, and continuously improving the organization's IT infrastructure, cloud platforms, network services, and technical architecture. This role combines deep technical expertise with strategic thinking to ensure infrastructure remains secure, scalable, resilient, and aligned with business objectives.</p>
<p><b>Main Responsibilities</b></p>
<ul><li>Provide strategic and operational leadership for the Infrastructure Engineering function, ensuring the design, implementation, support, and continuous improvement of enterprise infrastructure services.</li>
<li>Define and maintain infrastructure standards, architectures, and roadmaps aligned to business objectives and technology strategy.</li>
<li>Review and approve technical designs, change requests, and implementation plans proposed by MSP partners.</li>
<li>Act as the primary technical liaison between internal IT teams and external MSP partners.</li>
<li>Oversee the lifecycle management of servers, storage, virtualisation platforms, operating systems, and data centre technologies.</li>
<li>Manage third-party suppliers and technology vendors alongside MSP relationships.</li>
<li>Ensure infrastructure services meet agreed availability, performance, scalability, and resilience requirements.</li>
<li>Lead capacity planning, technology refresh programmes, and infrastructure modernisation initiatives.</li>
<li>Establish infrastructure governance processes, operational procedures, and technical standards to support secure and reliable service delivery.</li>
</ul><ul><li>Provide technical leadership and governance for technology programmes and projects, ensuring successful delivery of strategic initiatives.</li>
<li>Manage infrastructure-related budgets, forecasting, procurement activities, and vendor relationships to ensure cost-effective technology investments.</li>
</ul>
<p><b>Who You Are</b></p>
<ul><li>Bachelor's degree or equivalent experience; 7+ years infrastructure engineering experience; 3+ years cloud engineering experience; experience designing secure enterprise infrastructure solutions.</li>
<li>Experience working in an enterprise environment that utilises outsourced or co-managed MSP services.</li>
<li>Proven experience managing technical relationships with MSPs and third-party service providers.</li>
<li>Experience reviewing and challenging technical solutions proposed by external providers.</li>
<li>Good communication with the ability to build rapport and credibility at all levels</li>
<li>Collaborative, proactive, and customer-focused approach within a fast-paced environment</li>
<li>Excellent organisational, problem-solving, analytical, and critical thinking skills with the ability to prioritise and meet deadlines</li>
<li>Strong technical leadership and decision-making capability.</li>
<li>Ability to challenge suppliers constructively and hold them accountable.</li>
<li>Commercial awareness and vendor management skills.</li>
<li>Excellent communication and stakeholder engagement abilities.</li>
<li>Strategic thinker with a hands-on approach to infrastructure engineering.</li>
</ul>
<p><b>Desirable Skills</b></p>
<ul><li>Experience transitioning services between in-house teams and MSP providers.</li>
<li>ITIL Service Management practices.</li>
<li>Vendor and contract management.</li>
<li>Cybersecurity frameworks and operational resilience initiatives.</li>
</ul>
<p><b>Technical Skills</b></p>
<p>Windows Server, Linux, VMware, Hyper-V, Active Directory, Microsoft 365, Azure, Cisco Meraki, Fortinet</p>
<p><b>Prefered Certifications</b></p>
<p>Azure Solutions Architect Expert, Azure Administrator Associate, Cisco CCNP</p></div>

Senior Infrastructure Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.<br>
</p><p>As a Lead Engineer at JPMorgan Chase within our Market Data Services team you will play a pivotal role in designing, delivering and maintaining critical data distribution systems within the firm. These systems encompass both on-premises and cloud based infrastructure to deliver third party data to multiple lines of business.
<br>
You will be working within an Agile project environment collaborating closely with cross-functional teams to deliver high-quality solutions to our clients.</p><p><b>
Job Responsibilities</b></p><ul><li>
Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions</li><li>
Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.</li><li>
Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases</li><li>
Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements</li><li>
Capable of finding a balance between best of breed and cost effective solutions</li><li>
Act as a positive team player who is capable of accepting different intellectual points of view
</li><li>Clear and concise communicator; ability to present to senior management</li><li>
Ability to analyze and articulate problems and provide input into solutions</li><li>
Provide 3rd level support to operational roles
</li><li>A respect for strong process and control management disciplines</li><li>
Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b><br>
</p><ul><li>Formal training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS
</li><li>Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation)</li><li>
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.</li><li>
Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations</li><li>
Network architecture and protocols
</li><li>Programming languages (e.g. Java, Python, C++)</li><li>
Market Data / messaging products (e.g. TREP, Vela, RedLine, Bloomberg BPIPE, Solace, AMPS, etc.)</li><li>
Market Data vendors and their key products (e.g. Bloomberg, LSEG, Factset, S&amp;P)</li><li>
Database technologies and SQL scripting</li><li>
Monitoring tools (ITRS Geneos, Dynatrace, Datadog)
<br>
</li></ul><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake

OLIX

<div><h2 class="jobSectionHeader"><b>About OLIX</b></h2><p>
AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance.</p><h2 class="jobSectionHeader"><b><br>
The Role</b></h2><p>
We're hiring a senior infrastructure engineer to own the internal platform our engineering teams build, test, and collaborate on, spanning compute, storage, networking, build and CI/CD systems, and the security that protects all of it, while partnering with our IT function on identity, devices, and access across the company. You'll turn slow, manual, loosely secured workflows into fast, reproducible, and genuinely secure ones. This is a hands-on, high-ownership role with the freedom to define how internal infrastructure, security, and the technical side of IT work here from the ground up. If you care about engineering velocity, solid networking, best-in-class security, and a well-run technical environment in equal measure, there's a lot to dig into.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><p>
Build and operate the platform: design, provision, and run the Kubernetes and bare-metal infrastructure that powers development, simulation, and testing workloads.</p></li><li><p>
Automate everything: own infrastructure-as-code (Terraform) and provisioning pipelines so environments are reproducible, version-controlled, and fast to stand up or tear down.</p></li><li><p>
Improve the developer platform: build and maintain CI/CD, internal tooling, and self-service workflows that let hardware, software, and compiler engineers ship without waiting on you.</p></li><li><p>
Tune for performance: optimise networking (VLANs, firewalls, VPNs, and low-latency/high-bandwidth fabrics) and storage for the throughput and latency that ML and hardware workloads require.</p></li><li><p>
Own reliability and observability: implement monitoring, alerting, and capacity planning, and drive availability and performance across hybrid cloud and on-prem environments.</p></li><li><p>
Own platform security: implement identity and access management, secrets management, data protection, and threat detection across self-hosted and cloud infrastructure.</p></li><li><p>
Drive continuous improvement: proactively find and fix the bottlenecks, manual steps, and reliability gaps that slow the wider engineering team down.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Skills &amp; Experience</b></h2><ul><li><p>
5+ years in infrastructure, platform, or DevOps/SRE engineering, with a track record of owning systems end to end.</p></li><li><p>
Strong infrastructure-as-code and automation skills: Terraform, Ansible, and scripting in Python and Bash.</p></li><li><p>
Solid networking fundamentals.</p></li><li><p>
Experience operating across hybrid cloud and on-prem/bare-metal environments.</p></li><li><p>
Strong grasp of infrastructure security: IAM, secrets management, network security, and hardening across cloud and self-hosted systems.</p></li><li><p>
Excellent problem-solving skills, with the ability to diagnose and resolve complex, cross-layer issues in a fast-moving environment.</p></li><li><p>
A collaborative communicator who can work with hardware and ML engineers and explain infrastructure trade-offs clearly.</p></li><li><p>
Bachelor's degree in computer science, a related field, or equivalent practical experience.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Compensation &amp; Equity</b></h2><ul><li><p>
Competitive Salary: Commensurate with your experience, skills, and location</p></li><li><p>
Equity &amp; Ownership: Meaningful stock options. You&rsquo;re not just joining the mission; you&rsquo;re owning a piece of it</p></li><li><p>
Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living-Local Bonus if your residence is within 20 minutes of the office</p></li><li><p>
Retirement Benefits:<b> </b>Employer-contributed retirement plans to help you build long-term financial security.</p></li></ul><p>
Due to U.S. export control regulations, candidates&rsquo; eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.</p><p>
Compensation Range: &pound;88K</p></div>

Infrastructure Engineer

T-Tech

<div><p><i>Are you an experienced 3rd Line IT Engineer with a background in an MSP environment, looking to take the next step in your technical career?
</i></p><p><i>Join a collaborative team of nine where you&rsquo;ll have the opportunity to deepen your expertise and work on complex infrastructures.</i></p><p></p>
Key ResponsibilitiesAdvanced Technical Support<ul><li>
Provide Tier 4 escalation support to the Service Desk, diagnosing and resolving complex infrastructure issues</li><li>
Identify root causes, evaluate solutions, and implement robust, long-term fixes</li><li>
Ensure issues are fully resolved with no downstream impact</li><li>
Analyse trends and recurring incidents, implementing preventative measures</li></ul>
Infrastructure &amp; Cloud Management<ul><li>
Monitor, manage, and optimise cloud platforms and customer environments to meet SLAs across capacity, consumption, availability, and performance</li><li>
Drive improvements in platform reliability, scalability, and security</li><li>
Deploy and maintain tools that enhance automation, monitoring, and efficiency in a multi-tenant environment</li></ul>
Service &amp; Operational Excellence<ul><li>
Follow best practice processes for incident, problem, and change management</li><li>
Continuously improve service desk processes, tooling, and knowledge sharing</li><li>
Contribute to operational efficiency through standardisation and automation</li></ul>
Customer Engagement<ul><li>
Act as a technical escalation point for customers, ensuring a professional and high-quality experience</li><li>
Build strong relationships through clear communication and technical expertise</li><li>
Ensure customer satisfaction through timely and effective resolution</li></ul><p>
</p>Documentation &amp; Reporting<ul><li>
Accurately log and manage incidents within the service management system</li><li>
Maintain clear documentation of fixes, processes, and time tracking</li></ul><p>
</p>Team Development &amp; Mentoring<ul><li>
Support and mentor Service Desk Analysts and Engineers</li><li>
Share knowledge to improve first-time fix rates and team capability</li><li>
Take ownership of your professional development, including certifications and ongoing learning</li></ul><p></p><b>
Recruitment Process</b><ul><li>
Telephone interview with the Recruitment Manager</li><li>
30-minute Microsoft Teams interview with the Hiring Manager</li><li>
Online Thrive Assessment</li><li>
Final stage interview in our London Office</li></ul><br>
<b>
Requirements</b><br>
<br>
Skills, Experience &amp; Qualifications<p>
We&rsquo;re looking for a technically capable and proactive Infrastructure Engineer with a strong foundation in modern IT environments and customer-facing delivery.</p><ul><li>
Holds at least one certification in Microsoft Azure, Microsoft 365, or server technologies</li><li>
Minimum of 3 years&rsquo; experience in IT support, including experience within a managed service provider (MSP) environment</li><li>
Hands-on experience working within an ITIL-aligned service environment</li><li>
Strong virtualisation experience, including VMware and vSphere, with the ability to build and deploy virtual servers from the ground up in live environments</li><li>
Experience managing Microsoft Exchange (both Online and on-premises environments)</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
23 days annual leave plus your birthday off, because your time matters</li><li>
BUPA Cash Plan to support your health and wellbeing</li><li>
50 percent flexible working, giving you real balance and autonomy</li><li>
Work from home allowance to help cover your home office costs</li><li>
Two paid charity days each year, so you can give back to causes you care about</li><li>
Fully funded training and professional development to support your long-term career growth</li><li>
Three company social events per year, designed to connect, celebrate and have fun as a team</li></ul></div>

Accenture

<div><p><b>YOU ARE</b></p><p>
As a hands-on Infrastructure architect, you are an early-career engineer who learns and grows while contributing hands-on to the AI and machine learning infrastructure that powers real-world applications. Under the guidance of senior architects and engineers, you'll develop practical skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you'll write and test code and deployment scripts, help configure cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and support data pipelines that feed AI and ML workflows. You'll learn to monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and troubleshoot issues across the computational stack with mentorship and support. This is a hands-on, learning-focused where you build expertise across modern tools and platforms &mdash; including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring &mdash; while making meaningful contributions to infrastructure that enables AI-driven busin</p><p>
ess outcomes.</p><p></p><p><b>
THE WORK</b></p><ul><li>
Write, test, and debug code and scripts for AI infrastructure tasks, including automation and tooling, under the guidance of senior engineers.</li><li>
Develop and maintain infrastructure and software deployment scripts to support reliable, repeatable releases of AI systems and models.</li><li>
Configure and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups.</li><li>
Deploy AI systems and machine learning models into production infrastructure, following established processes and best practices.</li><li>
Deploy data pipelines that feed AI and ML workflows, ensuring data is available, clean, and reliable.</li><li>
Assist with container orchestration and model serving, learning tools such as Docker, Kubernetes, and model deployment frameworks.</li><li>
Support and maintain CI/CD pipelines for automating the build, test, and deployment of AI infrastructure and applications.</li><li>
Monitor AI systems and infrastructure health across InfraOps and MLOps disciplines, tracking performance, reliability, and resource utilization.</li><li>
Perform AI monitoring to track model performance, detect drift or degradation, and surface issues for review.</li><li>
Troubleshoot and help resolve issues across the computational stack &mdash; hardware, networking, software, and models &mdash; with mentorship and support.</li><li>
Document configurations, processes, and procedures to maintain clear, repeatable, and shareable knowledge across the team.</li><li>
Collaborate with senior architects and engineers, participating in code reviews, team discussions, and knowledge-sharing sessions to grow technical skills.</li><li>
Apply security, cost-efficiency, and scalability best practices as you learn them, contributing to well-managed and responsible infrastructure.</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field</li></ul><p></p><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Work or coursework experience with AI/ML or Computer engineering or Computer science.</li><li>
Coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.</li><li>
Strong understanding of AI and machine learning as a subject.</li><li>
Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.</li><li>
Proficiency in programming languages such as Python, Java, or C++.</li></ul></div><p></p>

AI Infrastructure Architecture Analyst

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

Few&Far

<div>
 <p>
  🚨
  <strong>
   Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
  </strong>
  🚨
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 </p>
 <p>
  <br/>
 </p>
 <p>
  💰
  <strong>
   Up to &pound;525 per day
  </strong>
 </p>
 <p>
  📍
  <strong>
   London - 1 day per week onsite
  </strong>
 </p>
 <p>
  📄
  <strong>
   Outside IR35
  </strong>
 </p>
 <p>
  ⚡
  <strong>
   1-stage interview process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll be working on:
 </p>
 <p>
  ✅ Modernising data lake &amp; data warehouse architecture
 </p>
 <p>
  ✅ Designing, building and optimising ETL/ELT pipelines
 </p>
 <p>
  ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 </p>
 <p>
  ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 </p>
 <p>
  ✅ Writing high-performance SQL and production-quality Python
 </p>
 <p>
  ✅ Improving platform reliability, monitoring and CI/CD
 </p>
 <p>
  ✅ Collaborating with stakeholders to deliver scalable data solutions
 </p>
 <p>
  ✅ Mentoring junior engineers through code reviews and best practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
 </p>
 <p>
  ☁️ AWS
 </p>
 <p>
  🐍 Python
 </p>
 <p>
  🗄️ SQL
 </p>
 <p>
  🔄 Airflow (AWS)
 </p>
 <p>
  📊 Looker (nice to have)
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm keen to speak with Data Engineers who have:
 </p>
 <p>
  ✔️ Strong experience building production-grade data pipelines
 </p>
 <p>
  ✔️ Advanced SQL and Python skills
 </p>
 <p>
  ✔️ Experience deploying and supporting ML models in production
 </p>
 <p>
  ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 </p>
</div>


Senior Data Engineer

Explore 294+ Senior infrastructure engineer in London this July. Find roles across top companies and apply now to boost your career.

294 senior infrastructure engineer jobs In London

Senior Infrastructure Engineer

Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake

Infrastructure Engineer

Infrastructure Engineer

AI Infrastructure Architecture Analyst

Expert Agentic AI Engineer

Senior Data Engineer