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principal data engineer

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Data Engineer

Codurance

<div>Codurance is a global software consultancy, focused on raising the bar in the software industry through supporting tech communities and working with our clients. We help our clients build remarkable digital products, evolve strategic legacy systems, and equip them to continuously deliver value through the adoption of quality practices and expertise.
We are looking for a Contract Senior Data Engineer who shares our values of craftsmanship, pragmatism, and professionalism. You understand that data engineering is, at its core, great software engineering, applied at scale, with rigour, and with production in mind.
Databricks is our primary data engineering platform, and you will be expected to use it fluently, but the goal is always durable, well-crafted data systems, not tool advocacy.
This is an initial 6-month contract, inside IR35.
What You&rsquo;ll Work On
Our data engineering engagements fall into three primary shapes:<ul><li>
Data Foundations</li><li>
Data Modernisation, re-platforming legacy ETL, introducing automated testing and data contracts, and aligning data models with application domains</li><li>
AI-Ready Data Enablement, preparing data systems to safely support AI and ML use cases, including feature pipelines, scalable compute, and guardrails around data quality and lineage</li></ul>
These engagements sit within wider software modernisation and platform evolution work, not as standalone data projects. You&rsquo;ll work alongside software craftspeople, architects, and client engineers, with data as one part of a broader delivery picture. 
Requirements 
You consider yourself a data engineer with strong software engineering instincts. You care deeply about the quality, testability, and operability of what you build, not just whether it runs.
You are comfortable working in small increments, tightening feedback loops, and letting tests inform your pipeline design. You understand that data systems live in production long after they are first delivered, and you build with that in mind.
You are a team player who values frequent collaboration with software engineers, data scientists, business analysts and client stakeholders alike. You invest in your craft, stay curious about emerging tooling, and are enthusiastic about sharing what you learn.
Data Engineering Practices
You have solid experience applying software engineering disciplines to data: writing testable pipelines, using version control rigorously, and treating data models as first-class software artefacts. You are familiar with data contracts, schema evolution, and the principles of incremental delivery applied to data work.
Platform and Architecture
You have hands-on experience with Databricks and are comfortable across its core capabilities: Delta Lake, Unity Catalog, Databricks Workflows, and notebook-to-production pipeline patterns. You have a working understanding of lakehouse architecture and medallion design, and can articulate trade-offs clearly to clients and colleagues.
Beyond Databricks, experience with the broader data engineering landscape, including tools such as dbt, Apache Spark, and data quality frameworks, is a plus.
Data Engineering for ML and AI
You understand how machine learning and AI systems consume data, and you build the pipelines that feed them to production. You are comfortable with engineering reproducible feature pipelines, managing feature tables in Unity Catalog, and using MLflow for experiment tracking and model registry so that training data and model lineage stay traceable. You prepare and version the datasets that models depend on, and you treat that data with the same rigour you apply to any production system.
You are familiar with the data engineering behind modern AI use cases: building embedding and retrieval pipelines, populating and maintaining vector stores, and assembling the evaluation and ground-truth datasets that make model behaviour measurable.
Software Engineering Foundations
Your data engineering work is grounded in solid software fundamentals. You understand clean code principles, meaningful abstraction, and the difference between code that works and code that can be maintained. You are familiar with CI/CD applied to data pipelines and are comfortable contributing to infrastructure-as-code environments.
Observability and Production Readiness
You understand what it means to run data systems in production. This includes pipeline monitoring, alerting, data quality validation, lineage tracking, and the operational disciplines needed to maintain trust in data over time.
Cloud Platforms
You have experience working on at least one major cloud provider (AWS or Azure) and are comfortable with the infrastructure patterns that underpin modern data platforms. Familiarity with cloud-native services for storage, compute, and orchestration is expected.
Collaboration and Client Engagement
You can work effectively within a client&rsquo;s environment and communicate clearly with both technical and non-technical stakeholders. You understand how to manage expectations, navigate legacy constraints, and make pragmatic decisions under real-world delivery conditions.
Legal / Eligibility
You must be eligible to work in the UK. 
Benefits</div>

Senior Data Engineer (Contract)

Frontier Resourcing

<div><div>Senior Data Engineer &ndash; eDV Cleared
 
Locations: Manchester, Gloucester or London (Full-Time, Permanent, Onsite)
We are partnering with a leading defence and technology organisation to recruit an experienced Senior Data Engineer to join their highly specialised engineering teams across Manchester, Gloucester or London.
This is an excellent opportunity to work on complex, mission-critical programmes within the National Security sector, delivering innovative solutions across AI, machine learning, cyber security and geospatial intelligence.
As a Senior Data Engineer, you will join a collaborative Agile environment, playing a key role in designing, building and maintaining scalable data platforms and processing pipelines. You will work alongside software engineers, architects and stakeholders to transform and optimise data for advanced analytical and operational use.
The team is actively hiring Data Engineers across multiple levels, offering opportunities for both experienced professionals seeking technical leadership and individuals looking to further develop their expertise within a high-performing engineering function.
*Please note: Due to the nature of the work, candidates must hold current and active eDV (Enhanced Developed Vetting) clearance.
Key Responsibilities
<ul><li>Design, develop and maintain robust data pipelines to ingest, clean, transform and aggregate data from a variety of sources.
</li><li>Collaborate closely with engineers, technical leads and stakeholders to deliver project objectives.
</li><li>Support the successful delivery of project milestones within Agile teams.
</li><li>Contribute to continuous improvement initiatives, engineering best practices and team capability development.
</li><li>Influence technical direction and contribute to architectural and design decisions.
</li></ul>Required Skills &amp; Experience
<ul><li>Strong analytical skills with experience working with large-scale and unstructured datasets.
</li><li>Python development experience, including technologies such as PySpark, Pandas and PyArrow.
</li><li>Expertise in distributed data processing frameworks, particularly Apache Spark.
</li><li>Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi.
</li><li>Cloud platform experience across AWS, Azure and/or GCP.
</li><li>Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services.
</li><li>Strong understanding of SQL and NoSQL databases.
</li><li>Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch, S3 and Data Lake architectures.
</li><li>Containerisation and orchestration experience using Docker, Kubernetes and/or OpenShift.
</li><li>Knowledge of testing frameworks, engineering standards and software development best practices.
</li><li>Experience working with source control systems, branching strategies, pull requests and code review processes.
</li></ul>What's on Offer
<ul><li>Opportunity to work on highly secure, cutting-edge programmes with real-world impact.
</li><li>Exposure to advanced technologies across AI, machine learning, cyber security and data engineering.
</li><li>Structured training and development support to help broaden your technical capabilities.
</li><li>Clear progression opportunities within a growing and highly regarded engineering function.
</li><li>Collaborative Agile environment working alongside some of the industry's leading technical specialists.
</li></ul>Benefits:
<ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on top of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days
</li></ul>If you're an eDV-cleared Data Engineer looking to work on some of the UK's most challenging and rewarding technology programmes, we'd be keen to discuss this opportunity further.</div></div>

Senior Data Engineer (eDV)

Jacobs

<div>
 At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
 
 
 Your impact
 
 
 This is a great time to join our Data &amp; Digital team as we continue to scale our data platform and AI capabilities across critical infrastructure sectors. You&rsquo;ll be working at the forefront of modern data engineering, helping design and deliver high-impact solutions that transform how organisations operate and make decisions. It&rsquo;s an opportunity to work on complex, large-scale challenges, building production-grade data systems and AI-enabling platforms that deliver measurable outcomes across industries such as water, transport, and energy.
 
 
 With the opportunity to shape how data and AI power essential infrastructure worldwide, why wouldn&rsquo;t you want to make an impact?
 
 
 
 Day to Day
 
 
 
 <ul>
 <li>
 Design and build robust, scalable data platforms and pipelines on Azure and Databricks (batch and streaming)
 </li>
 <li>
 Develop high-quality data products using Python, SQL, Spark, and Delta Lake within modern lakehouse architectures
 </li>
 <li>
 Create AI-enabling foundations including feature stores, ML-ready datasets, and automated model-serving workflows
 </li>
 <li>
 Implement best practices in testing, observability, and monitoring (metrics, logging, lineage) to ensure platform reliability
 </li>
 <li>
 Optimise cost, performance, and scalability across large-scale data workloads
 </li>
 <li>
 Apply security-by-design principles, leveraging tools such as Unity Catalog for governance and access control
 </li>
 <li>
 Automate engineering workflows using Infrastructure-as-Code (Terraform/Bicep) and CI/CD pipelines (Azure DevOps/GitHub Actions)
 </li>
 <li>
 Collaborate with clients to translate business challenges into technical solutions, facilitating workshops and aligning stakeholders
 </li>
 <li>
 Continuously deliver value through iterative development, frequent releases, and outcome-driven delivery
 </li>
 <li>
 Evaluate and implement modern data tooling and architectural patterns to improve platform capability
 </li>
 <li>
 Contribute to reusable frameworks, templates, and scalable engineering practices
 </li>
 <li>
 Communicate trade-offs, risks, and technical decisions clearly to both technical and non-technical audiences
 
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Work on large-scale, high-impact data and AI solutions across critical infrastructure industries
 </li>
 <li>
 Build modern data platforms using cutting-edge technologies across Azure and Databricks
 </li>
 <li>
 Be part of an engineering-led culture with strong investment in platforms, tooling, and innovation
 </li>
 <li>
 Collaborate with highly skilled engineers, architects, and data professionals
 </li>
 <li>
 Gain exposure to complex, real-world data challenges at scale
 </li>
 <li>
 Develop deep expertise in cloud data engineering, AI enablement, and modern architecture patterns
 </li>
 <li>
 Shape technical solutions that directly influence business outcomes
 </li>
 <li>
 Opportunities to grow into principal engineering, architecture, or technical leadership paths
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A global network of expertise and opportunity
 </li>
 <li>
 A culture founded on safety, integrity, inclusion, and belonging
 </li>
 <li>
 Flexible working arrangements that support your well-being and potential
 </li>
 <li>
 Investment in your development, including certifications, learning time, and access to mentors
 </li>
 <li>
 Opportunities to contribute to communities of practice and internal technical initiatives
 </li>
 <li>
 Exposure to diverse projects across multiple industries and regions
 </li>
 <li>
 Competitive benefits package including pension, holiday allowance, and additional perks
 
 
 
 </li>
 </ul>
 #Digital&amp;Data
 
 
 Here's what you'll need
 
 
 <ul>
 <li>
 Azure (Cloud Platform) Experience building and scaling data solutions using services like ADLS Gen2, Data Factory or Synapse, and Event Hubs, with a strong understanding of security, networking, and enterprise-grade architecture
 </li>
 <li>
 Databricks (Data Processing &amp; Analytics) Hands-on experience delivering end-to-end pipelines in Databricks, using Spark and Delta Lake, with exposure to governance through Unity Catalog and ML workflows such as MLflow
 </li>
 <li>
 Python &amp; SQL (Core Engineering Skills) Strong capability in Python (PySpark) and SQL to develop, optimise, and maintain scalable, high-performing data pipelines and transformations
 </li>
 <li>
 Modern Data Architecture (Lakehouse) Experience designing and working within lakehouse environments, applying data modelling approaches to create flexible, reusable, and high-performance data layers
 </li>
 <li>
 CI/CD &amp; DevOps Practices Familiarity with Git, automated deployment pipelines using Azure DevOps or GitHub Actions, and Infrastructure-as-Code tools such as Terraform or Bicep to enable reliable, production-ready delivery
 </li>
 <li>
 Data Quality, Observability &amp; Governance Experience implementing testing, monitoring, logging, and governance practices to ensure data is accurate, secure, and trusted across platforms
 </li>
 <li>
 AI &amp; Machine Learning Enablement Exposure to supporting AI and machine learning use cases, including preparing feature datasets, enabling experimentation, and contributing to model deployment and lifecycle management
 
 
 
 </li>
 </ul>
 Joining Jacobs not only connects you locally but globally. Our values stand on a foundation of safety, integrity, inclusion and belonging. We put people at the heart of our business, and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees.
 
 
 With safety and flexibility always top of mind, we&rsquo;ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You&rsquo;ll uncover flexible working arrangements, benefits, and opportunities, from well-being benefits to our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you&rsquo;ll discover how you can cultivate, nurture, and achieve your goals &ndash; all at a single global company. Find out more about life at Jacobs.
 
 
 We aim to embed inclusion and belonging in everything we do. We know that if we are inclusive, we&rsquo;re more connected and creative. We accept people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation. We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice and our Find Your Community initiatives, allowing every employee to find connection, purpose, and belonging. Find out more about our Jacobs Employee Networks here.
 
 
 Jacobs partners with VERCIDA to help us attract and retain talent from a wide range of backgrounds. For greater online accessibility please visit https//www.vercida.com/uk/employers/jacobs to view and access our roles.
 
 
 As a disability confident employer, we will interview disabled candidates who best meet the criteria. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.
 
 
 We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
 
 
 Your application experience is important to us, and we&rsquo;re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.
 
 
</div>

Location
 Manchester, Greater Manchester, United Kingdom
 
Capabilities
 Digital and Data
 
Office Setup
 Hybrid
 
Job ID
 #41082
 Market
 Water
 
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
 
Your impact
 
This is a great time to join our Data & Digital team as we continue to scale our data platform and AI capabilities across critical infrastructure sectors. You’ll be working at the forefront of modern data engineering, helping design and deliver high-impact solutions that transform how organisations operate and make decisions. It’s an opportunity to work on complex, large-scale challenges, building production-grade data systems and AI-enabling platforms that deliver measurable outcomes across industries such as water, transport, and energy.
 
With the opportunity to shape how data and AI power essential infrastructure worldwide, why wouldn’t you want to make an impact?
 
Day to Day
 
<ul>
<li>Design and build robust, scalable data platforms and pipelines on Azure and Databricks (batch and streaming)</li>
<li>Develop high-quality data products using Python, SQL, Spark, and Delta Lake within modern lakehouse architectures</li>
<li>Create AI-enabling foundations including feature stores, ML-ready datasets, and automated model-serving workflows</li>
<li>Implement best practices in testing, observability, and monitoring (metrics, logging, lineage) to ensure platform reliability</li>
<li>Optimise cost, performance, and scalability across large-scale data workloads</li>
<li>Apply security-by-design principles, leveraging tools such as Unity Catalog for governance and access control</li>
<li>Automate engineering workflows using Infrastructure-as-Code (Terraform/Bicep) and CI/CD pipelines (Azure DevOps/GitHub Actions)</li>
<li>Collaborate with clients to translate business challenges into technical solutions, facilitating workshops and aligning stakeholders</li>
<li>Continuously deliver value through iterative development, frequent releases, and outcome-driven delivery</li>
<li>Evaluate and implement modern data tooling and architectural patterns to improve platform capability</li>
<li>Contribute to reusable frameworks, templates, and scalable engineering practices</li>
<li>Communicate trade-offs, risks, and technical decisions clearly to both technical and non-technical audiences</li>
</ul>
What’s In It For You
 
<ul>
<li>Work on large-scale, high-impact data and AI solutions across critical infrastructure industries</li>
<li>Build modern data platforms using cutting-edge technologies across Azure and Databricks</li>
<li>Be part of an engineering-led culture with strong investment in platforms, tooling, and innovation</li>
<li>Collaborate with highly skilled engineers, architects, and data professionals</li>
<li>Gain exposure to complex, real-world data challenges at scale</li>
<li>Develop deep expertise in cloud data engineering, AI enablement, and modern architecture patterns</li>
<li>Shape technical solutions that directly influence business outcomes</li>
<li>Opportunities to grow into principal engineering, architecture, or technical leadership paths</li>
</ul>
Benefits
 
<ul>
<li>A global network of expertise and opportunity</li>
<li>A culture founded on safety, integrity, inclusion, and belonging</li>
<li>Flexible working arrangements that support your well-being and potential</li>
<li>Investment in your development, including certifications, learning time, and access to mentors</li>
<li>Opportunities to contribute to communities of practice and internal technical initiatives</li>
<li>Exposure to diverse projects across multiple industries and regions</li>
<li>Competitive benefits package including pension, holiday allowance, and additional perks</li>
</ul>
#LI-JW8 #Digital&Data
 
Here's what you'll need
 
<ul>
<li>Azure (Cloud Platform): Experience building and scaling data solutions using services like ADLS Gen2, Data Factory or Synapse, and Event Hubs, with a strong understanding of security, networking, and enterprise-grade architecture</li>
<li>Databricks (Data Processing & Analytics): Hands-on experience delivering end-to-end pipelines in Databricks, using Spark and Delta Lake, with exposure to governance through Unity Catalog and ML workflows such as MLflow</li>
<li>Python & SQL (Core Engineering Skills): Strong capability in Python (PySpark) and SQL to develop, optimise, and maintain scalable, high-performing data pipelines and transformations</li>
<li>Modern Data Architecture (Lakehouse): Experience designing and working within lakehouse environments, applying data modelling approaches to create flexible, reusable, and high-performance data layers</li>
<li>CI/CD & DevOps Practices: Familiarity with Git, automated deployment pipelines using Azure DevOps or GitHub Actions, and Infrastructure-as-Code tools such as Terraform or Bicep to enable reliable, production-ready delivery</li>
<li>Data Quality, Observability & Governance: Experience implementing testing, monitoring, logging, and governance practices to ensure data is accurate, secure, and trusted across platforms</li>
<li>AI & Machine Learning Enablement: Exposure to supporting AI and machine learning use cases, including preparing feature datasets, enabling experimentation, and contributing to model deployment and lifecycle management</li>
</ul>
Joining Jacobs not only connects you locally but globally. Our values stand on a foundation of safety, integrity, inclusion and belonging. We put people at the heart of our business, and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees.
 
With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You’ll uncover flexible working arrangements, benefits, and opportunities, from well-being benefits to our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you’ll discover how you can cultivate, nurture, and achieve your goals – all at a single global company. Find out more about life at Jacobs .
 
We aim to embed inclusion and belonging in everything we do. We know that if we are inclusive, we’re more connected and creative. We accept people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation. We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice and our Find Your Community initiatives, allowing every employee to find connection, purpose, and belonging. Find out more about our Jacobs Employee Networks here .
 
Jacobs partners with VERCIDA to help us attract and retain talent from a wide range of backgrounds. For greater online accessibility please visit https://www.vercida.com/uk/employers/jacobs to view and access our roles.
 
As a disability confident employer, we will interview disabled candidates who best meet the criteria. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.
 
We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
 
Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support .

Maxwell Bond

<div>
 
 
 AI Systems Engineer
 
 
 
 
 Location:
 
 Hybrid (Manchester)
 
 
 
 Salary:
 
 &pound;60,000 - &pound;75,000
 
 
 
 
 
 
 The Opportunity
 
 
 
 
 
 
 This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 
 
 
 
 
 This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 
 
 
 
 
 You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
 <ul>
 <li>
 Designing and building AI-powered applications and services
 </li>
 <li>
 Developing intelligent workflows and agentic systems
 </li>
 <li>
 Integrating LLMs into production software products
 </li>
 <li>
 Building retrieval, context and memory systems
 </li>
 <li>
 Designing robust APIs and backend services
 </li>
 <li>
 Evaluating AI performance, reliability and quality
 </li>
 <li>
 Implementing monitoring, testing and fallback mechanisms for AI-driven features
 </li>
 <li>
 Working closely with engineering leadership to define best practices for AI-native development
 </li>
 <li>
 Contributing to architectural decisions across a modern cloud-based platform
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills
 
 
 
 
 
 
 
 Essential
 
 
 
 
 
 <ul>
 <li>
 Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
 </li>
 <li>
 Experience building applications that utilise Large Language Models (LLMs)
 </li>
 <li>
 Experience designing and delivering production-grade software systems
 </li>
 <li>
 Strong understanding of software architecture and system design principles
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure or GCP)
 </li>
 <li>
 Strong programming skills in TypeScript, Python or similar modern languages
 </li>
 <li>
 Experience integrating external APIs and services
 </li>
 <li>
 Ability to make pragmatic technical decisions and communicate trade-offs
 </li>
 </ul>
 
 
 
 
 
 Highly Desirable
 
 
 
 
 
 <ul>
 <li>
 Experience building AI agents or agentic workflows
 </li>
 <li>
 Experience with Retrieval Augmented Generation (RAG)
 </li>
 <li>
 Experience working with vector databases and semantic search
 </li>
 <li>
 Knowledge of context management and memory architectures
 </li>
 <li>
 Experience evaluating and testing AI outputs in production environments
 </li>
 <li>
 Experience designing AI-assisted automation systems
 </li>
 <li>
 Exposure to frameworks and tooling within the modern AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Who This Will Suit
 
 
 
 
 
 
 This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 
 
 
 
 <ul>
 <li>
 Senior Software Engineer
 </li>
 <li>
 Backend Engineer
 </li>
 <li>
 Full Stack Engineer
 </li>
 <li>
 AI Systems Engineer
 </li>
 <li>
 Applied AI Engineer
 </li>
 <li>
 Platform Engineer with AI experience
 </li>
 </ul>
 
 
 
 
 Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 
 
 
 
 
 
 Why Apply?
 
 
 
 
 
 <ul>
 <li>
 Work on genuinely innovative AI-native products
 </li>
 <li>
 Influence technical direction and architecture
 </li>
 <li>
 Join a team investing heavily in modern AI technologies
 </li>
 <li>
 Solve complex engineering challenges at scale
 </li>
 <li>
 Opportunity to help shape the future of AI-enabled software development
 </li>
 </ul>
 
 
 
 
 They are committed to moving quickly on this with interview slots available.
 
 
 
 
 
 Please apply today.
 
</div>

Artificial Intelligence Engineer

ONNEC Group

<div>ONNEC builds, supports and optimises the IT infrastructure, networks and connectivity which drive global business performance.
We are a rapidly growing organisation and finding and retaining the highest calibre of people is fundamental to us for the success of our business, we work hard to create a challenging, supportive and satisfying working environment for all our employees. ONNEC has successfully achieved the Investors in Diversity Foundational Award for our commitment to equality, diversity and inclusion in the workplace.
We are seeking a multi skilled Data Centre engineer to join a leading organisation in Mamnchester. You will be working as part of a small team providing Data Centre services to a prestigious International Financial organisation.
Responsibilities of our Data Centre Engineer will include:
<ul><li>Working a 24x7x365 shift pattern of 4 days on 4 days off, 4 nights on 4 nights off</li>
<li>Change control management</li>
<li>Incident management and resolution</li>
<li>Management and tracking of Assets</li>
<li>Supervision and escorting of 3rd Party Vendors</li>
<li>Planning and implementation of all IT hardware installations adhering to strict Data Centre Standards.</li>
<li>Planning and decommission of network hardware and structured cabling</li>
<li>Updating all relevant documentation and inventories</li>
<li>Completing all service requests, within the agreed SLA</li>
<li>Compliance with ONNEC&rsquo;s and Client Health &amp; Safety procedures</li>
<li>Compliance with Manufacturers, ONNEC&rsquo;s and Clients Quality Standards</li>
<li>Compliance to Clients and Support Services approved processes</li>
<li>Ensure security procedures with reference to Data Centres are complied with.</li>
</ul>
Task Description:
<ul><li>Maintenance of Data Centre toolsets that assist with support and management</li>
<li>Management and governance over the DC</li>
<li>Work closely with our facilities providers to maximise energy efficiency savings</li>
<li>Successful day to day running of the Data Centre, including installations, decommissions, changes and maintenance</li>
<li>Data Centre related service improvement projects</li>
<li>Basic configuration of server (IDRAC, ILO)</li>
<li>Fault finding and escalation</li>
<li>Racking, stacking, moves, changes, decommissioning , patching</li>
<li>Data Centre related major infrastructure projects including power outages and replacements</li>
<li>Managing complex inter-rack/room cable infrastructure, providing a stable platform for IT infrastructure and desktop connectivity</li>
</ul>
What we&rsquo;re looking for in our Data Centre Engineer:
<ul><li>Experience of working in high-risk environments and Data Centres</li>
<li>Knowledge of DCIM tools and standards (desirable)</li>
<li>Experience of ServiceNow, Remedy or other ticketing system (desirable)</li>
<li>Attention to detail and proactive</li>
<li>Sound Knowledge of Infrastructure Technologies &amp; Networking Concepts</li>
<li>Competent in MS Office and Helpdesk/Service Delivery Applications</li>
<li>A reliable individual and team player</li>
<li>The ability to work under pressure</li>
<li>Able to work on own initiative and unsupervised</li>
<li>A flexible approach to shift patterns</li>
<li>The ability to communicate clearly both written &amp; verbally, at all levels</li>
<li>Strong organisational, interpersonal, and administrative skills</li>
<li>Applicants must have previous experience in a similar role</li>
</ul>
If you feel you have the required skills and experience, click apply now to be considered as our Data Centre Engineer &ndash; we&rsquo;d love to hear from you!</div>

Data Centre Engineer - Manchester

Explore 141+ Data platform engineer in Manchester this July. Find roles across top companies and apply now to boost your career.

141 data platform engineer jobs In Manchester

Data Engineer

Senior Data Engineer (Contract)

Senior Data Engineer (eDV)

Data Engineer

Data Engineer

Artificial Intelligence Engineer

Data Centre Engineer - Manchester