Top Tech Jobs & Startup Jobs

Leads quality engineering across multidisciplinary Agile teams by establishing testing standards, strategies, governance, automation, and quality gates. Develops automated UI and API test suites, integrates testing into CI/CD pipelines, supports functional through acceptance testing, manages defects and test data, and provides release assurance evidence. Coaches engineering teams on shift-left practices and quality improvement while remaining hands-on. The role may also support building and leading a future quality engineering team.

Lead the design, development, testing, and delivery of complex Java software solutions for government and national security customers. Build RESTful microservices, collaborate on frontend and backend systems, establish quality standards, conduct code reviews, explore new technologies, and mentor junior engineers. The role involves technical leadership, Agile delivery, DevOps, cloud infrastructure, and working onsite at client locations three to four days per week after obtaining security clearance.

Develop and deploy data science, machine learning, and AI solutions for secure government and intelligence environments. Responsibilities include predictive modelling, NLP, graph analytics, data integration, anomaly detection, model validation, dashboards, and production deployment. The role collaborates with engineering and operational teams to deliver automated insights and decision-support capabilities, while contributing to AI/ML strategy and technical roadmaps.

Design and build scalable cloud-native data platforms, batch and streaming pipelines, data lakes, and integrated data services. Support analytics and AI/ML workloads while implementing DevSecOps, infrastructure as code, and reliability improvements. Collaborate with data scientists, engineers, architects, consultants, and clients to solve complex data challenges and translate requirements into technical solutions. The role supports Defence, Government, and National Security projects and requires high-level security clearance and on-site work three to four days weekly.

Lead the design and delivery of enterprise data architectures, strategies, governance frameworks, cloud platforms, and analytics solutions for defence, government, and regulated-sector clients. Responsibilities include stakeholder engagement, requirements analysis, architecture documentation, technical governance, project lifecycle leadership, business-case development, and support for proposals and customer presentations. The role also contributes to data capability development, emerging technology evaluation, and AI-enabled transformation.

Provides senior consultancy to UK government and public-sector organisations on geospatial strategy, data governance, information management, GIS platforms, and digital transformation. Leads stakeholder workshops, requirements gathering, business cases, roadmaps, operating models, and implementation planning. Advises on geospatial data management, spatial databases, APIs, integration, cloud solutions, interoperability, and data quality while supporting project governance, procurement, migration, and adoption. The role is customer-facing and collaborative, requiring close work with architects, engineers, GIS specialists, and delivery teams.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

Designs and delivers scalable data pipelines and Lakehouse architectures using Databricks, Spark, PySpark, and Delta Lake. The role covers ETL/ELT, data governance, security, quality, performance optimization, cloud integration, and CI/CD. It involves technical leadership across customer programmes, architectural decision-making, stakeholder collaboration, mentoring, and supporting reliable production data solutions.

Lead consulting engagements for defence, government, national security, and regulated-sector clients. Responsibilities include discovery, stakeholder workshops, digital and data strategy, target operating models, architecture, transformation roadmaps, AI and analytics opportunities, data governance, client deliverables, and proposal support. The role requires translating complex business and technical challenges into practical recommendations and measurable outcomes while influencing senior stakeholders and collaborating with multidisciplinary teams.

Lead and define solution architectures for defence and government digital and data transformation programmes. Provide technical leadership, stakeholder influence, architecture governance, and pre-sales support. Develop reusable frameworks, reference architectures and best practices while mentoring architects and driving innovation to deliver secure, scalable, and practical solutions.