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We&nbsp;don’t&nbsp;just build technology. We build hope. &nbsp;In our world, billions of&nbsp;people,&nbsp;millions of cancers&nbsp;diagnosed&nbsp;each year. For everyone,&nbsp;it’s&nbsp;personal. Behind every treatment lies a story, a family, a future. Behind every patient, clinic, and care provider,&nbsp;are&nbsp;real complexities, real needs, and a united purpose.&nbsp;We’re&nbsp;not&nbsp;intimidated,&nbsp;we’re&nbsp;inspired, because every difference – from the smallest tumor change to the greatest clinical challenge is a chance to innovate together and advance care.&nbsp;That’s&nbsp;why&nbsp;we’re&nbsp;here. With you. To set the new standard of care, making a meaningful impact on lives, for a world of difference.&nbsp;&nbsp;&nbsp;What&nbsp;You’ll&nbsp;Do at Elekta &nbsp;We are looking for&nbsp;detail-oriented Data Engineer to join our team for&nbsp;an initial&nbsp;6-month period as Maternity cover.&nbsp;&nbsp;This role involves collaboration with cross-functional teams, including data scientists, analysts,&nbsp;hardware&nbsp;and software engineers, to support our data-driven decision-making processes.&nbsp;The Data Engineer must&nbsp;possess&nbsp;a strong technical aptitude and be hands-on when delivering solutions, working comfortably across the full delivery lifecycle. You should have practical experience in designing, implementing, and&nbsp;optimizing&nbsp;data&nbsp;architectures, with a working knowledge of AI and Machine Learning techniques. The ideal candidate will have a consultative mindset and the ability to engage with users and stakeholders at all levels of the organization to collect and&nbsp;analyse&nbsp;requirements, ensuring&nbsp;optimal&nbsp;solution design, data pipeline delivery, and infrastructure scalability.&nbsp;We offer&nbsp;a fixed-term maternity cover (6 months), with&nbsp;a possibility&nbsp;to extend.&nbsp;Your responsibilities include (but are not limited to): &nbsp;<ul><li>Act as part of the Predictive Maintenance &amp; Intelligence team, providing data infrastructure and engineering support whilst following existing structures in ways of working.&nbsp; </li><li>Develop and implement data collection systems and other strategies that&nbsp;optimize&nbsp;statistical efficiency and data quality. </li><li>Design,&nbsp;build&nbsp;and&nbsp;maintain&nbsp;data pipelines to support machine learning and predictive models that&nbsp;identify&nbsp;avoidable failures. </li><li>Collaborate with Predictive Maintenance &amp; Intelligence team as well as other data-oriented teams at Elekta to deploy models, analytics workloads onto the Azure Analytics platform as well as providing data engineering&nbsp;expertise. </li><li>Architect and implement scalable data pipelines for data ingestion, processing, and transformation using Azure Data Factory, Databricks and other Azure services. </li><li>Manage and&nbsp;optimize&nbsp;SQL Server databases to ensure high performance,&nbsp;reliability&nbsp;and security. </li><li>Implement and&nbsp;optimize&nbsp;big data processing frameworks using Spark. </li><li>Handle large-scale data processing and real-time data streaming. </li><li>Develop and maintain CI/CD pipelines for automated deployment and testing of data solutions. </li><li>Ensure continuous integration and delivery practices are followed. </li><li>Monitor,&nbsp;manage&nbsp;and&nbsp;maintain&nbsp;the analytics workloads to ensure efficiency and scalability. </li><li>Support the development and maintenance of Business Intelligence (BI) applications, including data extraction and transformation. </li><li>Aid in database development and optimization using Microsoft SQL Server, T-SQL, and SSIS for high-performance data systems. </li><li>Engage in business analysis by working directly with stakeholders at all levels to understand data requirements for developing BI solutions and applications. </li><li>Integrate the company’s data with third-party data sources to enrich data models and support analytics needs. </li><li>Enhance data collection procedures to ensure data completeness and data pipeline integrity for downstream analytic systems. </li><li>Ensure the reliability,&nbsp;integrity&nbsp;and accuracy of data used for analysis through data validation and cleansing procedures. </li><li>Provide support for ad-hoc analyses, ensuring that the infrastructure supports quick and efficient data exploration. </li><li>Participate in concept exploration projects related to advanced development and services, offering data engineering support for prototyping and feasibility studies. </li><li>Support the integration of AI and machine learning algorithms by ensuring that data infrastructure is compatible with the needs of development teams. </li><li>Co-design and co-implement domain concepts and algorithms into reusable, scalable software modules for future-proofing solutions. </li><li>Prototype data infrastructure for new algorithm applications and investigate their feasibility. </li><li>Stay updated on the latest developments in data engineering, tracking&nbsp;new ideas,&nbsp;tools&nbsp;and methods in the field of data science, machine&nbsp;learning&nbsp;and deep learning.&nbsp;</li></ul>&nbsp;The right stuff  &nbsp;<ul><li>Excellent&nbsp;organisational&nbsp;skills, with a high degree of accuracy and detail. </li><li>Good communicator with a natural aptitude for dealing with people. </li><li>Work well in a busy team, being quick to learn and able to deal with a wide range of issues.&nbsp; </li><li>Strong desire&nbsp;to&nbsp;independently </li><li>Relevant experience&nbsp;demonstrating&nbsp;business awareness or involvement.&nbsp;</li></ul>What you bring: &nbsp;*We encourage you to apply even if you&nbsp;don’t&nbsp;meet every requirement—your unique skills and experiences might be exactly what&nbsp;we're&nbsp;looking for!    &nbsp;<ul><li>Proven experience as a Data Engineer. </li><li>Technical&nbsp;expertise&nbsp;regarding&nbsp;data models, database design development, data mining, and segmentation techniques. </li><li>Strong knowledge of and experience with reporting packages (Business&nbsp;Objects&nbsp;etc.), databases (SQL&nbsp;etc.), programming (XML,&nbsp;Javascript, or ETL frameworks). </li><li>Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS,&nbsp;SAS&nbsp;etc.). </li><li>Strong experience with machine learning workflows and working knowledge of Azure Data Services (e.g., Data Factory, Databricks, Synapse, etc.). </li><li>Strong analytical skills with the ability to collect, organize, analyze, and&nbsp;disseminate&nbsp;significant amounts of information with attention to detail and accuracy. </li><li>Adept at queries, report writing, and presenting findings. </li><li>BS in Mathematics, Economics, Computer Science, Information Management, or Statistics.&nbsp;</li></ul>Desirable&nbsp;:<ul><li>Experience with complex enterprise architecture. </li><li>Experience of Business Intelligence tools and development (QlikSense) </li><li>Experience with PTC&nbsp;ThingWorx&nbsp;(IoT Platform) </li><li>ITIL Foundation Certification or higher&nbsp;</li></ul>What&nbsp;you’ll&nbsp;get: &nbsp;&nbsp;In this role, you will work for a higher purpose; hope for everyone dealing with cancer, and for everyone regardless of&nbsp;where in the world, to have access to the best cancer care. In addition to this, Elekta offers a range of benefits.  &nbsp;<ul><li>Hybrid work&nbsp;option&nbsp;(you&nbsp;are required to&nbsp;work from the Crawley HQ at least 3 days/week) </li><li>Up to 13 paid vacation days (plus bank holidays) </li><li>Onsite subsidized restaurant, offering budget-friendly dining&nbsp;</li></ul>Hiring&nbsp;process &nbsp;We are looking forward to hearing from you! Apply by&nbsp;submitting&nbsp;your application and résumé in English, via the “Apply” button. Please note that we do not accept applications by e-mail.  &nbsp;Your Elekta contact  &nbsp;For questions, please contact the&nbsp;responsible Global Talent Acquisition Partner, Joanna Kozyra at <a href="mailto:Joanna.Kozyra@elekta.com" target="_blank">Joanna.Kozyra@elekta.com</a>. &nbsp; We are an equal opportunity employer.   &nbsp;We are an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, disability, veteran status, or any other protected characteristic. &nbsp;

Manor Royal Business District

Data Engineer: Elekta

Data Quality Manager Daily Rate: 450 - 500 (inside IR35 via umbrella) Contract Length: 6 months Location: Worthing (Hybrid Working Available) 1 - 2 days pw onsite required Are you an experienced data management professional passionate about improving data trust and transparency? Our client, a key player in the utilities sector, is on an exciting Data Transformation Journey aimed at modernising their data landscape. They are seeking a Data Quality Manager to play a pivotal role in this transformation by leading the design and implementation of a robust Data Quality Framework.Key Responsibilities:Lead the design and delivery of a comprehensive Data Quality Framework, establishing strategies, principles, and an operating model for the programme and beyond. Collaborate with data owners and stewards to define and agree on data quality dimensions, metrics, and thresholds. Configure and operationalise data quality tooling (e.g., Microsoft Purview) to enable profiling, monitoring, and remediation workflows. Partner with the Data Governance Lead to embed ownership, stewardship, and accountability for data quality across the organisation. Work closely with Data Technology and Analytics Enablement teams to integrate quality checks within ingestion, transformation, and reporting pipelines. Identify and prioritise Critical Data Elements (CDEs) and establish ongoing measurement and improvement processes. Develop data quality dashboards and reports to provide visibility of quality levels and trends across various domains. Define and manage data issue processes, including root cause analysis, remediation tracking, and escalation. Collaborate with the Data Platform Product Owner and Data Architect to ensure alignment with the wider data architecture and governance model. Support data quality aspects of regulatory submissions, audits, and assurance reviews.Skills &amp; Experience:Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem-solving skills, with experience in designing and implementing data quality KPIs and dashboards. Excellent stakeholder engagement and communication skills. Experience in regulated industries (e.g., utilities, finance, healthcare, or public sector) is desirable.Ideal Candidate:Our ideal candidate will be an experienced data management professional who thrives on enhancing trust and transparency in data. You will possess a blend of strategic thinking and hands-on implementation capability, enabling you to define frameworks, configure tools, and drive cultural change. This role is critical in embedding data quality at the heart of our client's new Data Platform, ensuring data becomes a trusted business asset.If you're ready to make a difference and lead impactful change in data quality, we want to hear from you. Apply today and join our client on their journey to a trusted, governed, and transparent data platform!Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Adecco

Data Quality Manager

Lead the design and governance of data architecture for a major customer experience transformation programme. Responsible for mapping current and future data landscapes, creating data models, and ensuring seamless integration and migration across multiple systems<ul><li>Develop and document as-is/to-be data landscapes</li><li>Create and maintain data models, taxonomies, and account hierarchies</li><li>Define data flows, integrations, and dependencies across CRM and broker systems</li><li>Identify data priorities, risks, and interdependencies</li><li>Collaborate with analysts and engineers to validate requirements</li><li>Lead data migration and transformation strategies</li><li>Govern data quality, modelling standards, and documentation</li><li>Align business process design with data architecture</li></ul>

Data Architect (Transformation Programme)

CK Group are recruiting for a Data Privacy Manager to join a company in the pharmaceutical industry on a contract basis for 6 months. Salary: 41.50 to 49 per hour PAYE or 55- 65 per hour Umbrella (inside IR35) Data Privacy Manager Role: <ul><li>Visible data privacy compliance presence</li><li>Privacy Risk Management</li><li>Training and Awareness</li><li>Data Subject Requests</li><li>Compliance Monitoring, Controls and Audits</li><li>Reporting and Documentation</li></ul>Your Background: <ul><li>Relevant Work Experience: Experience in data privacy or a similar field;</li><li>Matrix leadership: Proven experience in leading teams, managing projects, and influencing stakeholders at various levels within an organization;</li><li>Experience in delivering data privacy compliance frameworks and/or programmes;</li><li>In depth knowledge of data privacy laws in particular EU GDPR, UK GDPR and Data Protection Act 2018;</li><li>Experience of information governance practises and information security management systems (ISO27001);</li><li>Experience in digital health;</li><li>Experience in emerging technologies such as AI and the evolving legislative framework.</li><li>Certified Information Privacy Professional (CIPP) or other recognised privacy certification.</li><li>Lead auditor qualification (or equivalent)</li></ul>Company: Our client is one of the world's premier innovative biopharmaceutical companies, discovering, developing and providing over 160 different medicines, vaccines and consumer healthcare products to help improve the lives of millions of people in the UK and around the world every year. Location: This role is based at our clients site in Burgess Hill, 2 days a week, and rest of the week remote. Apply: For more information, or to apply for this Data Privacy Manager please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (phone number removed). It is essential that applicants hold entitlement to work in the UK Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check. INDKA

Data Privacy Manager

Ready to start your career as a Data Analyst? The demand for skilled data professionals in the UK is booming - and organisations are searching for people who can turn raw data into meaningful insight. If you're looking for a career with purpose and strong growth, our Data Analyst Career Programme is built for you, with a job guarantee on completion. Why this programme matters We focus on equipping you with both the tools and the real-world experience you need to hit the ground running. With industry-recognised certifications, live instruction and project work you'll be ready for business challenges from day one. What you'll get: <ul> <li>Seven training modules, covering Excel, SQL, Python, Tableau, Power BI and more.</li> <li>Three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals.</li> <li>Real-world project work to enhance your CV and show our end employers you can deliver.</li> <li>Job guarantee: If you complete the programme and don't receive a job offer, we'll refund 100% of your course fee.</li> </ul> Your investment: <ul> <li>Course cost: £2,795</li> <li>Payment plan: From £232.91 per month (interest-free)</li> </ul> No prior tech-job experience? No problem. You don't need to come from a data background. If you bring curiosity, communication skills, and a willingness to learn, this programme will equip you for a transition into a demanding and rewarding role. Take the next step now. Click 'Apply Now' and embark on a career where data drives decisions, and you drive your future.

Junior Data Analyst

Data Engineer x3 Worthing 2 days a week 55,000 - 65,000A Leading consultancy organisation based in is looking to expand their team of Data Engineers to join a specific public sector client. This is a pivotal role, where you will contribute to data acquisition, preparation and management projects, helping to modernise services and deliver secure, reliable data products at scale.WHAT YOU'LL DODesign and implement robust, secure and performance data integration solutions (batch and/or near-real-time). Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs. Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security). Support incident resolution and ensure service continuity. Share knowledge, mentor colleagues, and contribute to the clients engineering communities of practice. Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams. WHAT YOU'LL BRINGOur team delivers solutions across a wide range of technologies, and so we are looking for candidates with strong knowledge in data engineering fundamentals, with ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling. Essential skills and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash). Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control. Excellent client-facing and consultancy skills. Experience working in Agile delivery environments. Drive to share knowledge, mentoring and developing others.

Data Engineer x3 Worthing 2 days a week (Hybrid Working)

Our client is recruiting for an Asset Data Manager to join their growing team. The Asset Data Manager will lead the way in property safety compliance data management.The Asset Data Manager will champion a data-driven safety culture and collaborate across teams to validate datasets, produce performance reports, and support strategic planning.Key Responsibilities &amp; Experience for the Asset Data Manager<ul><li>Experience managing compliance and M&amp;E data in a housing or property safety context</li><li>Strong analytical and reporting skills, with proficiency in Power BI, Qlik, and SQL</li><li>Excellent attention to detail and a proactive approach to risk and assurance</li><li>The ability to interpret complex compliance data and translate it into actionable insights</li><li>A collaborative leader who thrives in cross-functional teams and champions continuous improvement</li><li>Strong organisational skills, with the ability to prioritise multiple tasks and manage time effectively</li></ul><ul><li>Good interpersonal skills, with the ability to communicate effectively with colleagues, contractors, and customers</li></ul>Key benefits for the Asset Data Manager include<ul><li>27 days annual leave plus bank holidays</li></ul><ul><li>Excellent employer pension contributions up to 12%</li><li>Life assurance 4x annual salary.</li><li>Cashback on day to day medical expenses</li><li>Leading Employee Assistance Programme, gym discounts &amp; cycle to work scheme</li><li>Loyalty scheme for long-serving colleagues including increased annual leave and a hamper</li><li>Hybrid working available</li></ul> Please apply as directed!

8 Data & AI Jobs in Worthing, UK