data engineer

ai engineer

ai/ml engineer

azure devops engineer

cloud engineer

cloud data engineer

bet365

<div>Company Description 
We&rsquo;re one of the world&rsquo;s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. 
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global worldwide. 
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. 
Job Description 
As a Data Engineer, you will play a key role in creating, migrating, and maintaining regulatory reporting systems on Google Cloud Platform (GCP).
The Regulatory Data team is a crucial function of the Data Engineering department, responsible for building and maintaining near real-time and batch reporting systems to fulfil regulatory requirements. The team utilises complex Business logic to transform internal data models into those required by industry regulators and third parties.
Using your passion for delivering innovative solutions you will support our continued migration from on-premise SQL Server systems to GCP as the team creates new GCP reporting systems
You will support this migration while also developing new cloud-native solutions and exploring AI-driven development and automation to improve efficiency, consistency and reliability across the team's processes. 
Qualifications 
<ul><li>
Experience with Google BigQuery.</li><li>
SQL development experience, with the ability to write complex queries, stored procedures, and performance-tune data-intensive workloads.</li><li>
Familiarity with GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Composer.</li><li>
Experience with data pipeline development (ETL/ELT) and orchestration tooling.</li><li>
Exposure to Infrastructure as Code such as Terraform, and CI/CD pipelines such as Git, GitLab.</li><li>
Methodical, with high attention to detail and the ability to break down complex requirements into simple solutions.</li><li>
Interest in AI-assisted development tooling, such as Claude Code.</li><li>
Ability to work to deadlines in a fast-paced, reactive environment.</li><li>
SQL Server experience to support legacy systems during migration.</li></ul> 

Additional Information 
<ul><li>
Developing and maintaining regulatory data submission systems, both existing on-premise and new cloud-based solutions in GCP/BigQuery.</li><li>
Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data.</li><li>
Supporting the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling.</li><li>
Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability of regulatory submissions.</li><li>
Leveraging AI tooling, such as Claude Code, and contributing to the team's automation strategies to reduce manual effort and improve quality.</li><li>
Participating in code reviews and adhere to departmental standards and the development process.</li><li>
Conducting QA to ensure solutions are accurate, efficient, and performant.</li><li>
Creating and maintaining relevant documentation.</li><li>
Collaborating with other team members to deliver high-quality solutions within required timeframes.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

Data Engineer (GCP)

Raytheon

<div>Date Posted:
2026-03-17
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, permanent opportunity for a Data Engineer to join our team on our Manchester, Gloucester or London sites working onsite.
Our Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. As Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team.
We have opportunities for Data Engineers at every level within a team, so upon reviewing your application we will discuss the great opportunities for development or challenges we offer based off your professional profile.
Due to the interesting work we do and the sector this team is working in, we require all candidates to hold current eDV clearance.
Responsibilities<ul><li>
Build data pipelines that clean, transform, and aggregate data from disparate sources</li><li>
Collaborate with stakeholders and other engineers</li><li>
Contribute to the completion of milestones associated with your project</li><li>
Contribute to continuous improvement within your team</li><li>
Collaborate with your peers on technical direction within your team</li></ul>
Required Skills and Experience<ul><li>
Strong analytic skills related to working with unstructured datasets</li><li>
Python (PySpark, Pandas, PyArrow)</li><li>
Distributed data processing (Apache Spark)</li><li>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</li><li>
Cloud services (AWS, Azure or GCP)</li><li>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</li><li>
SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li></ul>
We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application.<div>
Benefits &amp; Work Culture
Benefits:<ul><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><li>
Company bonus scheme (discretionary)</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others</li><li>
Enhanced sick pay</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul>
Work Culture:<ul><li>
37hr working week</li><li>
Early 1.30pm finish Friday, start your weekend early!</li><li>
Up to 5 paid days volunteering each year.</li><li>
Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.</li></ul></div> 
About us
In this area of Raytheon UK we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. 
 
Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
RTX 
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon. 
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.
#LI-AS3
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Privacy Policy and Terms:</div>

Data Engineer

Deloitte

<div><div><div><div><h3 class="jobSectionHeader">Basic information
</h3></div></div><div><div><div><div>Location
</div><div>Manchester
</div></div><div><div>Business Line
</div><div>Technology &amp; Transformation
</div></div><div><div>Job Type
</div><div>Permanent / FTC
</div></div><div><div>Date published
</div><div>30-Jun-2026
</div></div><div><div>Req #
</div><div>23935
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">Job description
</h3></div></div><div><div><div><div>Connect to your Industry
Do you want to be at the heart of some of the biggest and most ambitious AI &amp; Data projects?
Technology &amp; Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That's exactly what you'll help our clients to do. You'll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations.
Your architectural vision and engineering leadership will help clients position their organisations to succeed in an ever-evolving marketplace.
Connect to your career at Deloitte
Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.
What brings us all together at Deloitte? It&rsquo;s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.
Connect to your opportunity
Take your career to the next level by joining one of the world's best and most recognized professional services firms. Within Deloitte's AI&amp;D operating unit, we imagine, deliver and run innovative solutions to help our clients solve complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with Data Engineering and Cloud (Azure, AWS, GCP, etc) based expertise to join us, working in fast-paced teams with other highly talented, fun and motivated colleagues.
We encourage consideration of flexible ways of working, both formal and informal arrangements that allow for the best outcomes for our people and our clients. If this opportunity is of interest to you with some flexibility, please do discuss it with us.
Your role
As a Data Engineering Architect in AI&amp;D, you are responsible for designing and delivering robust, scalable, and secure Data Engineering architectures, frameworks and pipelines on Cloud projects. You are encouraged to devise innovative architectural solutions to help our clients address their biggest data challenges, including developing modern analytics platforms.
In your role, you will have responsibility for architectural integrity, technical strategy, and client stakeholder engagement, delivering solutions for our clients using agile methodologies. You will often be working in multi-disciplinary teams across a range of industries, subject matters and locations.
Our projects vary greatly and your responsibility as a Manager will differ based on the focus of the client engagement and your skillset, but could include and may require you to:<ul><li>
Lead architectural assessments of existing data platforms, define target state architectures, and develop strategic roadmaps leveraging Cloud IaaS and PaaS components.</li><li>
Define and evolve the architectural blueprint for robust data engineering pipelines, guiding their implementation to ensure scalability, performance, and strategic alignment.</li><li>
Work effectively in diverse teams within an inclusive team culture where people are recognised for their contribution.</li><li>
Define and guide the technical roadmap for data platforms, ensuring architectural alignment and robust delivery through advanced DevOps practices.</li><li>
Provide technical leadership, mentorship, and architectural guidance to diverse engineering teams (onshore and offshore), fostering a culture of technical excellence and innovation.</li><li>
Evaluate and champion the adoption of emerging open-source and proprietary data technologies, assessing their architectural fit, strategic value, and potential impact.</li><li>
Drive the architectural vision for our market-leading analytics and cognitive offerings, contribute to technical solutioning in proposals, and significantly shape the growth of our Strategy, Governance &amp; Architecture community.</li><li>
Provide architectural oversight, technical and engineering governance for key client project workstreams, ensuring the delivery of high-quality, scalable, and commercially viable solutions.</li><li>
Contribute to client project delivery by owning one or more workstream(s) and ensuring commercially successful conclusion of the client engagements</li></ul>
Connect to your skills and professional experience
<ul><li>Must have Python, Scala, C++ or Java development experience deploying workload to production</li><li>
Must have either one of the following:<ul><li>
Cloud Developer Associate, or</li><li>
Cloud Data Engineer Associate, or</li><li>
Similar certification, with a strong preference for Architect-level certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect &ndash; Professional, Google Cloud Professional Cloud Architect).</li></ul></li><li>
Ability to demonstrate advanced stakeholder management skills and collaborate effectively with multidisciplinary teams, including presenting complex architectural concepts to non-technical audiences.</li><li>
Ability to provide technical leadership, coaching, and mentorship to engineering teams, driving architectural best practices and fostering a culture of continuous improvement.</li></ul>
Candidates must have extensive experience in Cloud-based Data Platforms, demonstrating deep architectural understanding and hands-on delivery across some or all of the following areas:<ul><li>
Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines on cloud platforms using native and Hadoop-based services.</li><li>
Ability to conduct comprehensive technical and architectural assessments of existing platforms, define future-state architectures, and articulate the migration strategy.</li><li>
Ability to design and build enterprise-grade cloud data solutions, providing expert perspective on storage options (e.g., object storage, data lakes, data warehouses) and compute engine options (e.g., Spark, Databricks, Synapse Analytics, BigQuery).</li><li>
Implementing and optimising data lake and data warehouse solutions on cloud platforms using services such as object storage (e.g., S3, ADLS, GCS), cloud data warehouses (e.g., Snowflake, BigQuery, Synapse Analytics), streaming services (e.g., Kinesis, Event Hubs, Pub/Sub), and security services (e.g., KMS, KeyVault), with a focus on architectural governance.</li><li>
Developing logical and physical data models for NoSQL data stores such as CosmosDB, MongoDB, Cassandra, etc.</li><li>
Developing and orchestrating highly performant, scalable, and re-usable data ingestion and transformation pipelines across various cloud components and services such as Databricks, AWS Glue, Google Dataflow, Azure Data Factory, or similar.</li><li>
Developing event-based and streaming data ingestion and processing using cloud-native PaaS services or Apache Kafka.</li><li>
Data ingestion, data engineering, and/or data curation using native cloud services or tools available in cloud marketplaces.</li><li>
Developing data governance, data cataloguing, and data lineage solutions using tools such as Informatica Data Catalog, Talend Data Catalog, IBM Information Governance Catalog, or cloud-native equivalents.</li><li>
Developing RESTful and GraphQL APIs for inter-service and external data exchange.</li><li>
Have worked with and architected solutions on platforms from key cloud vendors such as Databricks, Snowflake, or similar.</li><li>
Have worked in agile delivery teams with DevOps ways of working to continuously deliver iterative deployments with experience in using Git, Jira, Confluence, or similar.</li><li>
Have had experience in data migration activities in the past, including migration strategy and approach, source and target system discovery, analysis, mapping, development, and reconciliation.</li></ul>
Connect to your business - Technology and Transformation
Distinctive thinking, deep expertise, innovation and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we&rsquo;ll make an impact that matters.
Engineering, AI and Data
We lead transformation at the heart of our clients; re-engineering the core of our clients&rsquo; organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees.
Personal independence
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your &quot;Immediate Family Members&quot; are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further details as you progress through the recruitment process, or you can contact the Independence team upon request.
Connect with your colleagues
&ldquo;The great culture, flexibility, and range of experiences that Deloitte offers is what sets this firm apart. In Technology &amp; Transformation, Deloitte is far ahead of any of our immediate competitors.&rdquo; - Sophia, Technology &amp; Transformation
&ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; - Dan, Technology &amp; Transformation
Our hybrid working policy
You&rsquo;ll be based in Manchester with hybrid working.
At Deloitte we understand the importance of balancing your career alongside your home life. That&rsquo;s why we&rsquo;ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you&rsquo;ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You&rsquo;ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.
Our commitment to you
Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
We want you. The true you. Your own strengths, perspective and personality. So we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
Connect to your next step
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
Discover more reasons to connect with us, our people and purpose-driven culture at deloitte.co.uk/careers
WPFULL SLTTECH BAENGAI BAAIDAT LOCMAN</div></div></div></div></div></div>

Manager, Data Engineering Architect, AI & Data, Technology & Transformation

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>

KDR Talent Solutions

<div>
 
 
 Cloud Engineer (AWS &amp; Azure) | Manchester (Hybrid 1-2 days a week) | &pound;55,000-&pound;70,000
 
 
 
 
 
 
 We&rsquo;re working with a highly successful, fast-growing European investment and asset management organisation to recruit an experienced
 
 Cloud Engineer
 
 to join their expanding IT &amp; Change function.
 
 
 
 
 
 This is a fantastic opportunity to play a key role in shaping and scaling a modern, multi-cloud environment, supporting cutting-edge initiatives including AI-driven platforms and large-scale infrastructure transformation.
 
 
 
 
 
 
 The Opportunity
 
 
 
 As a Cloud Engineer, you&rsquo;ll operate across both
 
 AWS (primary)
 
 and
 
 Azure (secondary)
 
 environments, supporting business-as-usual operations while driving forward key strategic projects.
 
 
 
 
 
 You&rsquo;ll take ownership of cloud architecture, resilience, and security, ensuring platforms are scalable, cost-efficient, and aligned with best practice, while acting as a technical leader within the wider IT team.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and support cloud infrastructure across AWS and Azure estates
 </li>
 <li>
 Review and document architecture, data flows, and technical designs
 </li>
 <li>
 Support the scaling of AWS infrastructure to enable AI and data-led initiatives
 </li>
 <li>
 Lead
 
 BCP / Disaster Recovery
 
 planning and execution across cloud platforms
 </li>
 <li>
 Collaborate with security teams to ensure compliance, governance, and risk mitigation
 </li>
 <li>
 Drive automation using tools such as
 
 Terraform, PowerShell, ARM templates, and Azure CLI
 
 </li>
 <li>
 Provide technical leadership, mentoring engineers and acting as an escalation point
 </li>
 <li>
 Support CI/CD pipelines and infrastructure-as-code delivery via
 
 Azure DevOps
 
 </li>
 <li>
 Contribute to M&amp;A technical assessments and integration of new environments
 </li>
 <li>
 Ensure platforms meet standards for
 
 security, availability, performance, and resilience
 
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 Core Experience
 
 
 <ul>
 <li>
 Strong hands-on experience in
 
 AWS (essential)
 
 and
 
 Azure (desirable)
 
 </li>
 <li>
 Experience managing
 
 large-scale AWS environments
 
 (multi-account, governed estates)
 </li>
 <li>
 Proven delivery in
 
 hybrid (cloud/on-prem)
 
 and
 
 multi-cloud environments
 
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 AWS: EC2, S3, ECS/EKS, VPC, Transit Gateway, Load Balancers, Auto Scaling
 </li>
 <li>
 Azure: VMs, VNets, Storage, App Services, Entra ID, Load Balancing
 </li>
 <li>
 Infrastructure as Code:
 
 Terraform (essential)
 
 , reusable modules, Terraform Cloud
 </li>
 <li>
 Networking: DNS (Route 53), hybrid connectivity, multi-cloud networking
 </li>
 <li>
 Monitoring &amp; Ops: CloudWatch, Azure Monitor, Log Analytics
 </li>
 </ul>
 
 
 
 
 
 Additional Strengths
 
 
 <ul>
 <li>
 Experience with
 
 security, governance, and cost optimisation
 
 in cloud environments
 </li>
 <li>
 Strong troubleshooting and incident management capability
 </li>
 <li>
 Strong stakeholder engagement and consultancy-style communication skills
 </li>
 </ul>
 
 
 
 
 
 Why Apply?
 
 
 <ul>
 <li>
 Opportunity to work in a
 
 high-growth, technology-driven organisation
 
 </li>
 <li>
 Exposure to
 
 enterprise-scale cloud architecture and AI initiatives
 
 </li>
 <li>
 A collaborative, fast-paced environment with strong technical leadership
 </li>
 <li>
 Genuine opportunity to influence cloud strategy and best practice
 </li>
 <li>
 Flexible working approach supporting work/life balance
 </li>
 </ul>
 
 
 
 
 
 Apply Now
 
 
 
 If you&rsquo;re a passionate Cloud Engineer looking to step into a role with real impact&mdash;working across modern AWS and Azure environments&mdash;this could be the perfect next move.
 
 
 
 
 
 Apply today or get in touch for a confidential discussion.
 
</div>

Cloud Engineer

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)

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

Explore 98+ Cloud data engineer in Manchester this July. Find roles across top companies and apply now to boost your career.

98 cloud data engineer jobs In Manchester

Data Engineer (GCP)

Data Engineer

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Senior Data Engineer (eDV)

Artificial Intelligence Engineer