64 jobs found

Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ

Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ

Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ

We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role overview Our products, platforms and technologies are constantly evolving that's why keeping Sky safe from cyber-attacks is one of our top priorities. Our Cyber Security team helps the business grow while protecting our customers, colleagues and partners from increasingly sophisticated cyber threats. Our team includes Cyber Fusion Centre, Security Services, Risk and Compliance, Programme Delivery and Business Security, and we work across the UK, Italy and Germany. Join us and you'll get involved in tackling challenges and future threats in an ever-changing cyber landscape. You will join our comprehensive Cyber Defence Department as a senior member of the dedicated Threat Hunt team. You will operate within a robust security ecosystem, partnering directly with Cyber Operations, Threat Intelligence, Engineering, and Threat Vulnerability Management. What you'll do : Conduct proactive threat hunts across the enterprise, broadcast, and telco networks to identify abnormal activity, emerging attack techniques, and advanced threats. Develop and execute hypothesis-driven threat hunts utilising datasets across a variety of security tooling, including EDR, SIEM, and network-layer defences. Collaborate directly with the Cyber Threat Intelligence team to operationalise intelligence, maintaining and refining hunting playbooks for priority threat actors and relevant TTPs. Partner with security engineering teams to translate hunt findings into productionised, high-fidelity detections and drive continuous improvement in data source coverage and quality. Act as a technical mentor within the Cyber Defence function, guiding junior analysts, conducting peer reviews, and fostering a culture of continuous learning. Document and communicate hunt outcomes comprehensively, translating complex technical findings into actionable remediation strategies and executive-level summaries. What you'll bring : Essential Criteria Extensive prior experience in threat hunting at a large enterprise environment. Experience with incident response, SOC, or detection engineering. Deep understanding of the MITRE ATT&CK framework and how to practically apply it to threat hunting methodologies and detection logic. Proficiency in complex query writing (e.g., KQL, SPL, SQL) to filter, analyse, and visualise large, disparate datasets. Hands-on experience with EDR, NDR, SIEM, SOAR security platforms and data analysis platforms such as Databricks. Strong investigative acumen combined with a curious, highly analytical mindset capable of navigating ambiguity. Proven ability to work cross-functionally, bridging the gap between security and broader technology teams to demonstrably improve the overall security posture. Desirable skills and experience: Scripting and automation capabilities, particularly utilising Python, PySpark, and SQL to streamline analytical workflows. Experience navigating cloud-native security environments (AWS, Azure, or GCP) alongside familiarity with the Microsoft 365 ecosystem. Advanced knowledge of offensive security methodologies, including common exploit chains, reverse engineering basics, or penetration testing techniques. Relevant industry certifications demonstrating specialised knowledge in threat hunting, incident response, or forensics (e.g., SANS GCIA, GCIH, GCFA, OSCP). Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work Osterley The hybrid working expectations for this role are 2 days in the office per week. Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon . Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.

Job Title: Data Architect - Azure Databricks / Azure Data Factory For London Market InsuranceExp Required - 10 years PlusLocation: LondonAbout the Job you are considering:We are looking for an experienced Data Architect with strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake, Delta Lake, data modelling, data governance, and cloud data architecture, along with domain experience in London Market Insurance.The candidate will be responsible for defining and delivering scalable data architecture solutions for insurance transformation programmes covering underwriting, claims, policy administration, bordereaux, delegated authority, premium processing, regulatory reporting, reinsurance, analytics, and data migration.The ideal candidate should have strong hands-on architecture experience in Azure-based data platforms and should be able to work closely with business stakeholders, enterprise architects, solution architects, data engineers, insurance SMEs, vendors, and delivery teamsHybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Key Responsibilities:Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI.Design scalable and secure lakehouse architecture using bronze, silver, and gold data layers.Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions.Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints.Define architecture patterns for batch, incremental, real-time, and API-based data ingestion.Design reusable data ingestion and transformation frameworks using ADF and Databricks.Define data models for London Market Insurance data including policy, claims, premium, broker, bordereaux, delegated authority, reinsurance, exposure, and regulatory reporting data.Work with business analysts and insurance SMEs to understand London Market business processes and translate requirements into data architecture.Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability.Design data governance, security, access control, and compliance frameworks for insurance data.Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system decommissioning initiatives.Review technical designs, data models, ETL/ELT pipelines, and engineering implementation.Provide architectural guidance to data engineers working on Azure Databricks, ADF, PySpark, SQL, and Delta Lake.Collaborate with enterprise architecture, solution architecture, security, infrastructure, DevOps, and business teams.Define CI/CD, DevOps, deployment, monitoring, and operational support architecture for data platforms.Identify performance, scalability, reliability, and cost optimisation opportunities across Azure data services.Support governance forums, architecture review boards, design authority meetings, and client stakeholder workshops.Mandatory SkillsStrong experience as a Data Architect or Senior Data Architect.Strong hands-on experience with Azure Databricks.Strong architecture and implementation experience with Azure Data Factory.Strong understanding of Azure Data Lake Storage Gen2.Strong experience with Delta Lake, lakehouse architecture, and medallion architecture.Excellent knowledge of data modelling, dimensional modelling, canonical data models, and enterprise data models.Strong experience in designing ETL/ELT data pipelines.Good understanding of PySpark, Spark SQL, Python, and SQL.Strong knowledge of data warehouse, data lake, data mart, and semantic layer architecture.Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks.Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls.Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private endpoints, and encryption.Experience with CI/CD and DevOps practices using Azure DevOps, Git, ARM templates, Bicep, or Terraform.Strong stakeholder management, communication, presentation, and documentation skills.Ability to lead architecture discussions with business, technology, and senior client stakeholders.London Market Insurance Domain ExperienceThe candidate should have exposure to one or more of the following areas:Lloyd's Market operationsLondon Market Insurance operating modelSpecialty insurance and commercial insuranceBroker, carrier, managing agent, and syndicate data flowsUnderwriting data architectureClaims data architecturePolicy administration dataPremium and claims accountingBordereaux processingDelegated authority and binder dataCoverholder dataExposure managementReinsurance dataRegulatory and compliance reportingFinancial and management reportingBlueprint Two / London Market modernisation data initiativesAzure Architecture Skills ExpectedCandidate should have strong knowledge of the following Azure components:Azure DatabricksLakehouse architectureDatabricks notebooks, jobs, workflows, clustersDelta Lake optimisationUnity Catalog, if applicableDatabricks SQL, if applicableCluster sizing and cost optimisationSecurity and access control patternsAzure Data FactoryPipeline orchestrationLinked services and datasetsIntegration runtimeParameterised pipelinesTriggers and schedulingError handling and retry patternsMetadata-driven ingestion frameworksMonitoring and operational supportAzure Data Lake / StorageADLS Gen2 architectureLanding, raw, curated, and consumption zonesFolder hierarchy and naming standardsPartitioning strategyFile format standardsData retention and archival strategyAzure Governance and SecurityAzure Key VaultManaged IdentityAzure RBACStorage ACLsPrivate endpointsData maskingEncryption at rest and in transitLogging, monitoring, and audit controlsData Architecture ResponsibilitiesDefine conceptual, logical, and physical data models.Design canonical data models for insurance entities.Define data domains such as policy, claims, party, broker, premium, risk, exposure, and reinsurance.Define source-to-target mapping standards.Establish data quality rules and validation patterns.Define metadata and lineage requirements.Design reusable data ingestion frameworks.Define data retention, archival, and purge strategies.Define master and reference data management approach.Design reporting and analytics data marts.Define semantic layer and consumption patterns for BI tools.Review and approve data engineering designs and implementation.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you):You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real.

Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Role: Senior Data Manager/Lead Location: London (Hybrid) Comp: £115,000 P/A (FTC) Duration: 12 Months Skills:Python (Programming Language), SQL, Apache Spark, PySpark, Azure Databricks, Data Lakes, Data Warehouse Architecture, Leadership, Software Development, Management The role We're partnering with a large, data-driven organisation seeking an experienced technology leader to take ownership of a critical enterprise data capability. This is a highly visible leadership opportunity, combining strategic platform oversight, engineering excellence, operational leadership, and senior stakeholder engagement. You'll play a key role in shaping the future of a major data ecosystem while leading high-performing teams responsible for delivering reliable, scalable, and business-critical platforms. Responsibilities Define and execute the long-term strategy for enterprise data platforms, balancing innovation, resilience, and business value. Lead multi-disciplinary engineering and delivery teams, driving operational excellence, platform reliability, and continuous improvement. Oversee large-scale technology programmes, ensuring successful delivery through effective governance, planning, and stakeholder management. Partner with senior business and technology leaders to influence investment decisions, platform roadmaps, and organisational data strategy. Requirements Significant experience leading data, platform, or technology functions within a complex enterprise environment. Strong background in data platforms, cloud technologies, engineering leadership, and operational management. Proven track record delivering large-scale transformation programmes and managing senior stakeholder relationships. Experience owning budgets, vendor relationships, and building high-performing teams with a focus on continuous improvement. Interested? If you're a strategic technology leader who enjoys operating at both executive and delivery level, we'd love to hear from you. Apply today for a confidential discussion.

Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.

Bolton Join our Data Fabric Services team in our Information Systems department as a Senior Data Engineer working across all directorates: Engineering, Simulation, Test, Production, Quality, Supply Chain, MRO, and Corporate Functions. Salary: Circa £55,000 depending on experience Dynamic (hybrid) working: 2 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity In this role you will design enterprise-wide data and BI solutions brought together from varied sources - business data, simulators, missile test systems, shop-floor machines - and then turning them into a governed, value-generating asset. Key Responsibilities Capture needs and deliver end-to-end data solutions across technical and business domains. Build scalable ETL/ELT and streaming pipelines from simulators, HIL/SIL benches, MES/SCADA, ERP, and PLM. Architect data lakes, warehouses, lakehouses, and time-series stores. Develop Power BI analytics for self-service, KPI monitoring, and executive reporting. Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity). Drive DataOps: CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on-prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau) T/OT integration, Industry 4.0. DevOps/DataOps: Git, Docker, Kubernetes, CI/CD. Awareness of DO-178C, ISO 27001, MOD guidelines appreciated. Soft Skills Transverse mindset Autonomy and ownership Strong collaboration across multidisciplinary international teams Pragmatic problem-solving Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Company DescriptionDepop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners.Job DescriptionDepop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop's search engine and ranking across the app.Responsibilities:You will:Research, design and deliver ML solutions to take on problems within the search & discovery space:Learning-to-rank modelsVector search & embedding modelsetc.Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:How can we surface relevant results for this search?How can we show users personalised results in real time?What is the right price for this user?Set up and conduct large-scale experiments to test hypotheses and drive product developmentKeep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)QualificationsSkills and experienceSignificant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problemExperience with experiment design and conducting A/B testsProficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOpsSolid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorchCollaborative and humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholdersPassion for learning new skills and staying up-to-date with ML algorithmsBonus pointsExperience with Databricks and PySparkExperience with deep learning & large language modelsExperience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)Experience working with AWS or another cloud platform (GCP/Azure)Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling and coaching with Self SpaceCycle to Work scheme with options from Evans or the Green Commute InitiativeEmployee Assistance Programme (EAP) for 24/7 confidential supportMental Health First Aiders across the business for support and signpostingWork/Life Balance:25 days annual leave with option to carry over up to 5 days1 company-wide day off per quarterImpact hours: Up to 2 days additional paid leave per year for volunteeringFully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependantAll offices are dog-friendlyAbility to work abroad for 4 weeks per year in UK tax treaty countriesFamily Life:18 weeks of paid parental leave for full-time regular employeesIVF leave, shared parental leave, and paid emergency parent/carer leaveLearn + Grow:Budgets for conferences, learning subscriptions, and moreMentorship and programmes to upskill employeesYour Future:Life Insurance (financial compensation of 3x your salary)Pension matching up to 6% of qualifying earningsDepop Extras:Employees enjoy free shipping on their Depop sales within the UK.Special milestones are celebrated with gifts and rewards!