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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)

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

Obsidian Security

<div><div>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</div><h3 class="jobSectionHeader">
About the Role</h3>

As a Data Engineer at Obsidian, you'll:
<ul>
<li>Own and evolve the data pipelines behind one of Obsidian's core products</li>
<li>Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale</li>
<li>Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores</li>
<li>Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages</li>
<li>Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers</li>
<li>Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality</li>
<li>Champion data correctness, observability, and clean, testable transformations</li>
<li>Participate in code reviews and technical discussions to continuously raise engineering standards</li>
</ul><h3 class="jobSectionHeader">What's in it for you</h3>
<ul><li>Own the data foundations of a core product used by enterprises worldwide</li>
<li>Work alongside a talented, supportive team in a collaborative culture</li>
<li>Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows</li>
<li>Gain exposure to a cloud-agnostic platform spanning AWS and GCP</li>
<li>Be part of an innovative, growing company where your work makes a real impact</li>
<li>Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester</li>
</ul><h3 class="jobSectionHeader">Required Skills and Experience:</h3>
<ul><li>3&ndash;6 years of experience in a data engineering or software engineering role</li>
<li>Strong SQL and hands-on experience building production data pipelines</li>
<li>Experience with a modern data orchestrator such as Dagster, Airflow, or similar</li>
<li>Proficiency with a data transformation framework such as dbt</li>
<li>Proficiency in Python</li>
<li>Familiarity with Git and CI/CD tooling such as GitLab CI/CD</li>
<li>Familiarity with relational databases (e.g., Postgres) and cloud data warehouses</li>
<li>A bias toward data quality, testing, and maintainable, well-documented work</li>
<li>Experience collaborating in a team environment and adapting to changing requirements</li>
</ul><h3 class="jobSectionHeader">Desirable Experience</h3>
<ul><li>Experience with Databricks/Spark or other large-scale analytics platforms</li>
<li>Exposure to event/streaming systems such as Kafka</li>
<li>Existing Go experience for occasional API changes</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li>
<li>Exposure to LLM-assisted data workflows</li>
<li>Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS)</li>
<li>Exposure to observability tooling such as Grafana or Prometheus</li></ul></div>

Data Engineer

The University of Manchester

<div>
 We are seeking a motivated and collaborative individual to join our team as a Senior Platform Engineer. This role offers an exciting opportunity to contribute to the management of the Cloud estate (Azure, GCP, AWS) and maturing of DevOps to enable development teams to deliver cloud services at pace, within a dynamic and inclusive environment.
 
 
 
 You will be responsible for:
 
 
 
 <ul>
 <li>
 Applying Infrastructure as Code (IaC) principles to maintain consistency and reproducibility in cloud infrastructure.
 </li>
 <li>
 Developing a reliable and scalable cloud-based infrastructure service to support continuous and secure delivery of software solutions that meet the evolving needs of key stakeholders.
 </li>
 <li>
 Supervising undergraduate and postgraduate dissertations.
 </li>
 <li>
 Contributing to the identification, evaluation and adoption of tools, technique and processes to create a robust and cost-effective cloud-based platform.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate:
 
 
 
 Essential Criteria:
 
 
 
 <ul>
 <li>
 Hands-on experience with one or more major cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Familiarity with automating the delivery of Infrastructure as Code (IaC) using Terraform.
 </li>
 <li>
 Comfort with code repository management tools like GitLab, GitHub, or Bitbucket.
 </li>
 <li>
 A strong understanding of CI/CD pipelines and their role in modern development practices.
 
 
 
 </li>
 </ul>
 
 Desirable Criteria:
 
 
 
 <ul>
 <li>
 Familiarity with collaboration tools like Atlassian products (Jira, Confluence).
 </li>
 <li>
 Experience in building automation or integrations with platforms like ServiceNOW.
 </li>
 <li>
 A knack for engaging stakeholders and fostering collaboration across teams.
 
 
 
 </li>
 </ul>
 We value transferable skills and real-world experience as much as formal qualifications.
 
 
 
 Our benefits include:
 
 
 
 <ul>
 <li>
 Generous employer contribution pension
 </li>
 <li>
 29 days annual leave plus bank holidays, along with Christmas closure
 </li>
 <li>
 Ride to work and EV car scheme available
 
 
 
 </li>
 </ul>
 For more information, please see University of Manchester Benefits. You can also find information on our Flexible and Hybrid working here.
 
 
 We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we are able, within the law, to question and test received wisdom, express new ideas and explore controversial or unpopular topics and opinions. Find out more from our Freedom of Speech Policy.
 
 
 
 Enquiries About The Role, Shortlisting And Interviews
 
 
 
 Name: Nisar Khan
 
 
 Email: nisar.khan@manchester.ac.uk
 
 
 
 General enquiries and administrative support
 
 
 
 lewis.burne@manchester.ac.uk
 
 
 
 Technical and job portal support
 
 
 
 https://jobseekersupport.jobtrain.co.uk/support/home
 
 
 
 Applications close at midnight on the closing date.
 
 
 
 Further particulars (with person specification) linked below.
</div>

Senior Platform Engineer

Raytheon

<div>Date Posted:
2026-03-18
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, perm opportunity for a Senior Data Engineer to join our specialist teams in Manchester, Gloucester or London working fully onsite.
As Senior Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. The Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.
We have opportunities for Data Engineers at every level within a team, so your Recruiter 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 currently hold eDV clearance.
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.
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 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</li><li>
Storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li><li>
Use of Code repositories, familiarity with branching strategies, pull requests and merge processes</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
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>

Senior Data Engineer

<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>

bcn group

<div>Job title: Azure DevOps Engineer
Location: Hybrid or Remote working available
Hours: Monday to Friday, 37.5 hours per week
Salary: Competitive + benefits 
About BCN:
At BCN we unite people and technology to enable organisations to fly. 
We believe people and organisations can achieve anything using technology to it&rsquo;s full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre &ndash; building client relationships for life and fostering a culture where our people thrive. 
We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. 
Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. 
We are delighted you are on this journey with us! 
Focus of the role:
As an Azure DevOps Engineer, you will be responsible for working directly with our customers in various sectors to deliver public cloud transformation projects in Azure using infrastructure as code to support the deployment and configuration of various resource types in the Azure technology stack. 
Responsibilities:<ul><li>
Deploying and configuring Azure resources using infrastructure as code (IaC).</li><li>
Building and configuring continuous integration and continuous deployment (CI/CD) pipelines to deploy resources to customer environments.</li><li>
Take technical ownership of project delivery for various customer projects.</li><li>
Align deployment tasks and architecture with best practice alignments in both the Azure Cloud Adoption and Well Architected frameworks.</li><li>
Optimise and speed up future deployments by creating templates aligned with Enterprise Scale Landing Zones and secured, well-governed configurations and resource deployments.</li><li>
Align deployments with best practice security standards and guidelines such as National Institute of Standards (NIST) Cybersecurity Framework, ISO27001, Centre for Internet Security (CIS) and zero-trust principles.</li></ul> 
Person, Skills &amp; Experience:<ul><li>
Microsoft Azure experience would be preferred but other public cloud platform experience such as AWS, GCP or Oracle would be accepted.</li><li>
Excellent skills in infrastructure as code (IaC) provisioning using continuous configuration automation tools such as Terraform, Puppet, Chef, Ansible or equivalent.</li><li>
Ideally experience of Bicep.</li><li>
Excellent skills working with continuous integration and continuous deployment (CI/CD) pipeline tools such as GitHub Actions and Azure DevOps.</li><li>
Good awareness of Microsoft&rsquo;s Cloud Adoption and Well Architected Frameworks</li><li>
Experience of working in a DevOps focused role or experience of other project delivery using Infrastructure as Code (IaC)</li><li>
Microsoft Certified: Azure Administrator Associate (AZ-104) or equivalent</li><li>
Ideally Microsoft Certified: DevOps Engineer Expert</li><li>
Good knowledge of networking principles ideally in public cloud</li><li>
Good knowledge of firewalls, whether PaaS or 3rd party network virtual appliances</li><li>
Experience of supporting Windows Server environments (Windows Server 2016, 2019, 2022)</li></ul> 
Why BCN?<ul><li>
The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy.</li><li>
Competitive salary with the ability to progress.</li><li>
23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more!</li><li>
Company pension scheme.</li><li>
2 paid leave days per year to volunteer and support your local community &ndash; if it matters to you it matters to us.</li><li>
Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more</li><li>
Life assurance</li><li>
Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts.</li><li>
Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active.</li><li>
Long service recognition to celebrate all the milestones</li><li>
Beer (or soft drinks), Pizza at the end of month, dress down every day, social events such as Summer BBQ, Christmas party and lots more!</li></ul></div>

Azure DevOps Engineer

Explore 40+ Data engineer gcp in Manchester this July. Find roles across top companies and apply now to boost your career.

40 data engineer gcp jobs In Manchester

Data Engineer (GCP)

Artificial Intelligence Engineer

Data Engineer

Senior Platform Engineer

Senior Data Engineer

Data Engineer

Azure DevOps Engineer