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We're Hiring: SSIS Expert / Integrations Engineer Location: Leatherhead (Hybrid) Type: Full-Time Are you an SSIS expert looking for a high-impact role where your skills will directly drive the success of business-critical systems? We're looking for a skilled Integrations Engineer to lead the development, support, and optimisation of enterprise-wide data integration solutions-and to act as a trusted deputy to the Integration Manager . About the Role You'll take ownership of maintaining and improving integration pipelines, proactively resolving issues, and leading design and development initiatives using SSIS and Azure Data Factory . You'll also be the technical point of contact across multiple teams and act as 3rd line support for escalated incidents. What You'll Do Configure and manage SSIS integrations, ensuring accurate and secure data transfers Monitor, troubleshoot, and resolve integration issues, managing a ticket queue (e.g., via ServiceNow) Lead the design of new and existing data pipelines, adhering to change control processes Collaborate with stakeholders-including BAs, PMs, Architects, and Infrastructure teams Deputise for the Integration Manager during technical meetings, escalations, or design reviews Ensure integrations are secure, compliant, and well-documented What We're Looking For Deep experience with SSIS and SQL Server in an enterprise environment Strong proficiency in T-SQL , stored procedures, and complex ETL logic Familiar with Azure Integration Services (e.g., Logic Apps, ADF, Service Bus, Functions) Comfortable working with Git , Azure DevOps , and unit testing practices Knowledge of common data formats: CSV, JSON, XML, Parquet Ability to lead integration designs with minimal rework required Preferred Qualifications Certification in SSIS or relevant Microsoft technologies Proven track record of delivering robust integration solutions Key Skills & Traits Clear and confident communicator across technical and non-technical teams Detail-oriented with a strong focus on accuracy and performance Excellent problem-solving, time management, and documentation skills Able to juggle multiple integration workflows and priorities Strong sense of ownership and a passion for continuous improvement Why This Role? This is a great opportunity to be part of a collaborative, technically strong team where you'll have real influence over system design, data architecture, and delivery quality. Occasional travel may be required to other company offices or project sites. Sound like a good fit? Apply now or message us directly to explore how you can make an impact.

Press Tab to Move to Skip to Content Link Salary: £59,600 - £69,800 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: Permanent Location: London, Glasgow or Salford. This is a hybrid role, and the successful candidate will balance office working with home working. We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. You can find out more about working at the BBC by selecting this link to our candidate pack . Freelancers are eligible to apply for an internal role if they are on a Worker Contract and they have worked continuously for 6 months. If they have worked for less than 6 months continuously or have a break of 3 weeks or more between engagements, they must seek Divisional HR approval to apply for an internal role prior to submitting an application. Job Intro The BBC has been serving audiences online for more than 20 years. Across key products including BBC iPlayer, News, Sport, Weather and Sounds, we entertain, educate and inform audiences in their millions every day. But behind the scenes we have work to do. We are making the shift from being a broadcaster that speaks to our audiences to becoming a service that is directly shaped by them and designed around their wants and needs. AI is fundamental to this journey: enriching and expanding our content, improving journalist workflows and powering personalised experiences for millions of audience members. The new era of generative AI offers opportunities and challenges on a much larger scale. We are hiring software engineers across multiple seniority levels to join a cross-functional team that builds AI products for content production use cases, focusing on generative AI. This team builds products end-to-end, from innovative ideas to validated, scalable production systems serving thousands of internal users and improving the experience of millions. We work with our Responsible AI team to keep public service values at the heart of these products, ensuring they are aligned with our editorial values, serve the public good and maintain audience trust. We are a friendly and supportive team, and we love that we get to work on interesting and important problems that have a real impact on the audience's experience and the future of the BBC. The BBC has an industry-leading engineering culture with a strong focus on best practice and a wide range of opportunities for learning and career growth. Diverse representation of people within the team is vital, and we work in an open, supportive and inclusive manner. This team will build AI services that integrate with user-facing applications, working closely with front-end engineering teams. Recent projects include: Fine-tuning and deploying open-source large language models on use cases that assist journalists and build audience engagement. Developing and deploying generative AI solutions to produce content metadata and improve the experience of hundreds of journalists and millions of users worldwide. Main Responsibilities Writing clean, maintainable, well-tested production code in Python. Designing, building, iterating on and maintaining AWS infrastructure for AI deployments, e.g. optimised LLM inference on GPUs, reliable model training and fine-tuning pipelines, CI/CD pipelines, data stores, model development environments, interfaces with 3rd party models and scalable APIs. Working with data scientists to train and evaluate in-house ML models and systems based on 3rd party models, build and validate prototypes then scale up into performant production systems. Following and iterating on our software engineering best practices such as code reviews, pair programming, TDD, model/data versioning, linting, automated test coverage analysis, infrastructure-as-code, CI/CD and clear and comprehensive documentation. Responding to production issues and outages, building monitoring infrastructure to ensure those instances are identified quickly and dealt with effectively and conducting PIRs and iterating on our infrastructure to ensure they don't happen again. Researching and experimenting with new AI technologies as they emerge. Supporting more junior colleagues. Closely collaborating with other engineers and cross-functional teammates and stakeholders, attending Agile ceremonies like stand-ups, retros, sprint planning and knowledge sharing sessions. Engaging with the wider engineering and ML community at the BBC. Are you the right candidate? We are open to a range of backgrounds, from ML engineers with hands-on model training and deployment experience, to DevOps and MLOps engineers to strong general software engineers with a real desire to learn about AI. You are encouraged to apply even if you don't meet every one of the criteria listed! Strong coding skills, preferably in Python. Expertise in software engineering best practices such as testing and code management and deployment. Experience designing and building cloud-based software, preferably on AWS. Ability to clearly communicate to both technical and non-technical team members. Ability to work effectively in a cross functional team. Experience leading technical projects and engaging with stakeholders. A strong interest in AI. DevOps/MLOps experience, e.g. deploying ML models, setting up training pipelines, model registries, monitoring etc. Hands-on experience training and evaluating ML models. Managing databases and data pipelines. Experience with generative AI. Mentorship of more junior colleagues. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviourshere . Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please clickhere . Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. Information at a Glance This is your BBC At the BBC you can create and innovate in an inclusive environment while contributing to some of the world's best loved content, and the BBC's mission to inform, educate and entertain. Find out more about the BBC Life at BBC Here you will benefit from: • Fair pay and flexible benefits including a competitive salary package, a flexible 35-hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pensionscheme and discounted dental, health care and gym click apply for full job details

Company Description By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world's energy? If so, read on. Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realizing fusion energy, partnering with industry and research for groundbreaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative. As an employee of UKAEA you will benefit from: Outstanding defined benefit pension scheme, details of which can be found at the end of this advert. Corporate bonus schemeup to X % insert the relevant percentage: up to 7% for Levels 1 - 7, as well as 3rdand 4thyear apprentices. Up to 15% for L8+ positions and a Relocation allowance (if eligible). Flexible working options including family friendly policies and the right to request flexible working from the start of your employment. Employee Assistance Programme and trained Mental Health First Aiders, Generous annual leave allowance starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays Wide range of career development opportunities A vibrant culture committed to equality and being fully inclusive Job Description The salary for this role is £56,596 (inclusive of aSpecialist Allowance). Onsite working is expected for 3 days each week, however, we actively support requests for flexible working. This role can be based at any of the following sites; Culham, Oxfordshire This role requires employees to complete an online Baseline Personnel Security Standard (BPSS) , including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. LIBRTI is a £200m fusion fuel capability programme which aims to deliver a world first testbed for engineering scale fusion fuel prototype testing at Culham site in Oxfordshire. The programme comprises adaptation of a building, installation of a 14 MeV neutron source and an extensive suite of feederstream research in subjects as varied as tritium accountancy/ chemistry and molten salt chemical engineering, to multiphysics simulations of hydrogen isotope movements at high temperatures, and uncertainty quantification novel theory. LIBRTI's end goal is to run multi-tonne experiments under neutrons with global partners, delivering digital twin learnings for future fusion powerplant design and build. The Role The programme is seeking to hire a number of candidates in the fields of materials, chemistry, chemical / process engineering and maths and physics. Research is fast paced, involves work with UK universities and international fusion labs, and offers the chance of conference attendance and overseas short secondments if of interest. The team work together with specialists in materials, plasma, computing, robotics, tritium and engineering on a campus which includes two coffee shops, lots of green space and a vibrant social culture. Responsibilities: Participate in UKAEA's research programs on breeder development for fusion. Organise and coordinate short- and long-term projects, arranging equipment availability, scope of work and resources for sample preparation, testing, and modelling. Deliver and lead high quality, novel research or engineering in the field of tritium breeding through own endeavour and creative input. Compile and present results within technical reports and where required at scientific conferences and through publication of high-quality research articles. Build, and provide management to, a small team of scientists and engineers, providing research direction and allocating them to projects as required. This may also include leading teams during experiments or modelling exercises, to ensure that data is collected and reported in a robust and timely manner. Complete all aspects of line management and support recruitment activities, where relevant. Lead in the materials and technology required for operation in a fusion power plant, collaborating closely and building a network not just with internal stakeholders but with other fusion and GenIV partners in both academia and industry. Manage relationships with external collaborators (including universities, public sector research establishments and industry in fusion and related fields) in order to complement UKAEA's internal capability and enable access to additional expert knowledge and facilitate new project proposals. Propose, secure funding for, and contribute to, delivery of novel projects and capability aligned with internal strategy (e.g. STEP, EPSRC, PhD, Masters placements, graduates). Represent UKAEA at both domestic and international conferences, as well as at various meetings and functions as required. Qualifications Essential: Technical expertise in at least one of the following areas: Tritium experimentation Breeding science Tritium modelling including simulation of tritium production Metallics (steels, alloys)Non metallics (ceramics, CERMETS, composites, coatings, magnets) Microstructural analysis /design / modelling Mechanical / corrosion testing Materials fabrication / processing Density functional theory / finite element modelling or similar on materials Irradiation campaigns Previous experience of working in a laboratory environment / materials research group / experimental campaign. Ability to work well within a team and able to readily articulate complex technical information to both specialist and non-specialist audiences Desirable: A PhD in materials science or related area Prior experience of materials processing OR development OR analysis OR modelling OR qualification for an engineering application Experience working in tritium labs or with tritium A good understanding of nuclear environments and irradiation damage Experience of high-resolution analytical instruments (XRF, TEM, STEM etc.) OR experience with Fortran / C# /FEA type models OR experience in engineering design codes Additional Information A full list of our benefits can be found here UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds who want to help us achieve our mission. We are under-represented from some groups and so want to encourage applications in particular from women in STEM, people from Black British Caribbean and African backgrounds and from Pakistani and Bangladeshi British backgrounds. Our Executive team, supported by our 'Head of Equality, Diversity and Inclusion' (EDI) and Wellbeing and our EDI Networks actively promote Inclusion and takes steps to increase diversity within our organization. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success. UK Atomic Energy Authority is committed to being accessible. Please email if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.