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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. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. 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 (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. Qualification 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.

We are building the next generation of AI native engineering talent who use AI as a core part of how they work, not as an add on. As an AI Engineer (Software), you will design, build, and ship production grade software across the full stack, using AI assisted tooling as standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production grade software that connects to and supports agentic AI systems - understanding how your full stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. Key Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across the full software delivery lifecycle: AI generated tests, AI assisted debugging, AI accelerated code review, and prompt engineering for development tasks Own the quality of AI generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production ready and when it is not Define and track KPIs to evaluate the effectiveness and ROI of AI assisted workflows; present AI productivity and quality metrics to project stakeholders Own delivery end to end - from design through to production support - in Agile sprint cycles alongside client engineering teams Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team Build and integrate the application layers, APIs, and interfaces that connect full stack systems to agentic backends - understanding data flows, context handoffs, and integration points between your code and AI pipelines Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects) Proficiency in at least one primary backend language: Python, Java, or TypeScript Demonstrated hands on experience using AI tools actively in day to day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases - SQL or NoSQL Ability to validate, evaluate, and improve AI generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts - awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full stack applications connect to agent based architecture; production experience preferred, conceptual understanding required Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Experience Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments.Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an MLOps Engineer to build the operational backbone that lets models move safely and reliably from experimentation into production, at scale, across a central government department's multi-cloud, Legacy-integrated environment. Where the MLEngineer trains models and the AI Engineer builds features on top of them, you own the pipeline, infrastructure, and monitoring that keeps everything running in production. You'll work inside a collaborative "Rainbow Team" alongside civil servants, translating the Architect's platform decisions into reproducible, auditable infrastructure. Key Responsibilities ML/AI Pipeline Engineering - Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment. Production Reliability - Implement monitoring, logging, alerting, and automated rollback for AI services in production, tuned for the availability and sensitivity requirements of public-sector systems. Infrastructure-as-Code - Build reproducible, auditable infrastructure for AI workloads - compute, storage, networking - using IaC tooling appropriate to the department's multi-cloud environment. Model Governance in Operation - Implement model registries, versioning, and lineage tracking so every production model can be traced back to its training data, code, and evaluation results - directly supporting the programme's ATRS transparency obligations. Cost & Sustainability Optimisation - Right-size infrastructure and monitor resource usage to keep the platform's footprint down, in line with the programme's Green AI and Net Zero Commitments. Required Skills & Experience - Strong DevOps background extended into ML/AI-specific tooling (model registries, feature stores, experiment tracking) - Infrastructure-as-code and CI/CD pipeline design and build experience - Experience with observability and monitoring for production systems at scale - Understanding of containerisation and orchestration for ML workloads - Comfortable working across multi-cloud, Legacy-integrated environments - Secure-by-design engineering practices appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP infrastructure certifications - Experience building MLOps platforms within regulated or public-sector environments - Familiarity with model governance/traceability requirements such as ATRS - Prior delivery within UK central government or the wider public sector Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. Reliability, Security & Observability Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. Knowledge Transfer & Capability Uplift Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. Required Skills & Experience Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: - Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. - Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. - Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. - Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. - Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP certifications (associate or professional level) - Prior delivery of AI or digital services within UK central government or wider public sector - Experience fine-tuning or adapting open-source/foundation models for a specific domain - Open-source contributions or active engagement in AI/ML engineering communities - Experience designing for sustainability/Green IT commitments - The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: - Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. - Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. - Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. - Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. - Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the Newcastle office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilitiesData pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags

About Scrumconnect Scrumconnect delivers innovative digital solutions that help organisations modernise services, improve user experiences, and accelerate transformation through agile delivery and engineering excellence. Role Overview We are seeking Software Engineers and Senior Software Engineers to support the delivery of secure, scalable, and resilient digital services. You will contribute to the design, development, testing, and deployment of software solutions while collaborating with multidisciplinary teams in an agile environment. Senior Software Engineers will also provide technical leadership, guide engineering standards, and support architecture and design decisions across programmes. Key Responsibilities Design, develop and maintain software applications and services. Build and integrate secure APIs and Back End services. Participate in solution design and technical discussions. Support testing, deployment and operational activities. Follow secure software development and DevOps practices. Essential Skills & Experience (Must Have) Java Spring Boot Kafka MongoDB API development and integration Basic understanding of Docker images and containers Unit Testing/TDD Gherkin-style BDD testing, preferably using Cucumber CI/CD experience (GitLab, Jenkins or GitHub Actions) Agile delivery experience (Scrum/Kanban) Desirable Skills AWS services (SQS, S3, SNS and/or KMS) GitLab CI/CD Gatling or K6 load testing Kubernetes or Amazon ECS Senior-Level Experience Experience designing large-scale software solutions Strong understanding of system architecture and data modelling Experience working with high-volume production systems Proven ability to mentor engineers and lead technical initiatives Strong stakeholder management and communication skills Additional Information SFIA Level: 4 & 5 Security Clearance: Active SC Clearance required Diversity & Inclusion Scrumconnect is an equal opportunity employer and is committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds, experiences and communities, and we are dedicated to building diverse teams that reflect the people and organisations we serve.

Full Stack Developer (Node.js/Angular/AWS) About Scrumconnect Consulting Scrumconnect Consulting is a leading digital transformation consultancy delivering innovative technology solutions across the public and private sectors. We specialise in designing and building scalable digital services, cloud-native platforms, and user-centred applications that enable organisations to modernise and improve service delivery. Our multidisciplinary teams work across engineering, product, delivery, and design to deliver impactful digital solutions using modern technologies and Agile methodologies. We foster a culture of continuous learning, collaboration, and technical excellence, giving our people the opportunity to work on large-scale transformation programmes that make a real difference. The Role We're looking for experienced Full Stack Developers to join our growing engineering team. You'll help design, build, and deliver modern cloud-native applications across a range of enterprise-scale digital transformation projects. Working within Agile delivery teams, you'll contribute across the full software development life cycle, developing secure Back End services, modern Front End applications, and automated deployment pipelines. We're particularly interested in experienced Node.js developers with strong JavaScript/TypeScript skills and exposure to cloud-native development. Responsibilities Design, develop and maintain scalable full-stack applications Build secure, high-performance RESTful APIs using Node.js and Express Develop responsive Front End applications using Angular and TypeScript Write clean, maintainable and well-tested code using modern engineering practices Build and maintain automated tests using Jest Contribute to CI/CD pipelines using GitLab CI/CD Support cloud-native deployments using AWS and container technologies Participate in architecture discussions, code reviews and technical design sessions Work collaboratively with Product Owners, Designers, QA Engineers and DevOps teams Troubleshoot, optimise and improve application performance, scalability and reliability Essential Skills Strong commercial experience developing applications with Node.js Excellent JavaScript and TypeScript knowledge Experience building REST APIs using Express.js Commercial Angular development experience Experience writing automated tests using Jest Experience using GitLab CI/CD Understanding of Agile software delivery Experience working with Git Desirable Skills Experience with some of the following technologies would be advantageous: AWS & Cloud AWS Lambda API Gateway SQS S3 KMS CloudWatch X-Ray ECS/Fargate ECR EKS Infrastructure & DevOps Terraform Docker Kubernetes Kong Enterprise Gateway Databases MongoDB Amazon DocumentDB Messaging & Monitoring Kafka Confluent Schema Registry Dynatrace Other Serverless architectures Monorepo development Nunjucks What We're Looking For We're interested in developers who: Enjoy solving complex technical problems Write clean, maintainable code Have a collaborative mindset Are comfortable working within multidisciplinary Agile teams Take ownership of delivering high-quality software Have experience building secure, scalable enterprise applications Nice to Have Experience working on UK Government or other highly regulated programmes Active SC Clearance or eligibility to obtain SC Clearance Why Join Scrumconnect? You'll have the opportunity to: Work on high-profile digital transformation programmes Build modern cloud-native applications using the latest technologies Collaborate with experienced engineers across multiple disciplines Learn through continuous professional development Progress your career within a growing consultancy Work in a supportive, inclusive and collaborative environment Diversity & Inclusion At Scrumconnect Consulting, we're committed to creating an inclusive workplace where everyone feels valued, respected and empowered to succeed. We welcome applications from people of all backgrounds, experiences and perspectives. We believe diverse teams create better ideas, stronger products and better outcomes for our clients and communities.

About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.

About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments , including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager , Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability - provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory) Diversity and Inclusion At Scrumconnect Consulting, we believe diversity drives innovation and stronger outcomes for our teams and clients. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds, experiences, and perspectives.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference; and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead Technical Architect (AI) to act as the technical authority for a full-scale AI Operating Model and Responsible AI Governance Framework at a central government department. This is a large, high-visibility AI adoption and scale-up programme covering systems and services handling high-volume, sensitive public sector data. You'll work as part of a collaborative "Rainbow Team" alongside civil servants, with a mission that goes beyond delivery: build sustainable internal capability so the department can eventually operate and govern its own AI capability without long-term reliance on external suppliers. Key Responsibilities Architectural Leadership & Integration Design and implement enterprise-grade AI platforms - including semantic search, Retrieval-Augmented Generation (RAG), and broader generative AI/agentic capabilities - integrating cleanly with the department's complex Legacy and multi-cloud environments. Responsible AI Governance Embed end-to-end responsible AI controls across the full life cycle: alignment with the Algorithmic Transparency Recording Standard (ATRS), NCSC "Secure by Design" principles, and active mitigation of algorithmic bias. Ensure every system operates as a decision-support tool that enforces meaningful human control. Risk & Value Management Navigate trade-offs between value, risk, pace, and quality using HM Treasury Orange Book and Technology-Organisation-Environment (ToE) frameworks. Identify and resolve systemic risks via Joint Risk Registers. Zero-Dependency Handover & Capability Uplift Co-deliver within blended agile teams. Drive knowledge transfer using the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices so internal staff can independently operate and govern AI capability long after the engagement ends. Environmental Sustainability (Green AI) Design low-modality, energy-efficient AI architectures aligned with "Circularity Performance Requirements" (Buy Better, Use Better, Use Longer), supporting Net Zero 2030/2040 commitments. Required Skills & Experience Mapped to the Government Digital and Data (DDaT) framework: Technical Design Throughout the Life Cycle (Expert) : technical designs for high-risk, high-impact, high-complexity systems; leading others toward organisational objectives; refining standards from feedback. Architecture Communication (Expert): communicating complex or contentious architecture to technical and non-technical stakeholders at all levels; mediating difficult discussions; securing executive buy-in. Making Architectural Decisions (Practitioner): medium-to-high-risk design decisions spanning multiple domains; active contribution to architectural governance and assurance boards. Architect for the Whole Context (Practitioner): tracking emerging AI and technology trends; influencing colleagues across the organisation to solve or mitigate problems. Strategy Design (Practitioner): defining architectural principles, AI patterns, and strategic vision aligned to wider government objectives; building implementation roadmaps. Community Collaboration (Practitioner): proactive networking, resolving team-dynamics issues, using Agile health checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias testing) LLMOps/MLOps: model versioning, deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads, with strong observability Secure-by-design engineering appropriate to sensitive public-sector data (identity, access control, data protection) Desirable Experience AWS/Azure/GCP architecture certifications, AI related certifications most desirable. Experience contributing to GOV.UK Service Standard Alpha or beta assessments Prior delivery of AI or digital services within UK central government or wider public sector Familiarity with ATRS submissions, HM Treasury Orange Book, or equivalent public-sector risk/assurance frameworks Open-source contributions or active engagement in engineering/AI communities Experience designing for sustainability/Green IT commitments Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production systems and data access must be performed solely from within the UK. How We Work Our values: Collaboration: we are stronger as a team than as individuals; we tackle problems and celebrate wins together. Create Value Early: we find the quickest route from idea to product, because our clients rely on us to do what's best. Integrity: teamwork requires trust; we can always be relied upon to uphold the highest standards. Commitment: no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. Diversity and Inclusion: we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all.

Full Stack Developer (Node.js/Angular/AWS) Visa Sponsorship Available for Eligible Candidates About Scrumconnect Consulting Scrumconnect Consulting is a leading digital transformation consultancy delivering innovative technology solutions across the public and private sectors. We specialise in designing and building scalable digital services, cloud-native platforms, and user-centred applications that enable organisations to modernise and improve service delivery. Our multidisciplinary teams work across engineering, product, delivery, and design to deliver impactful digital solutions using modern technologies and Agile methodologies. We foster a culture of continuous learning, collaboration, and technical excellence, giving our people the opportunity to work on large-scale transformation programmes that make a real difference. The Role We're looking for experienced Full Stack Developers to join our growing engineering team. You'll help design, build, and deliver modern cloud-native applications across a range of enterprise-scale digital transformation projects. Working within Agile delivery teams, you'll contribute across the full software development life cycle, developing secure Back End services, modern Front End applications, and automated deployment pipelines. We're particularly interested in experienced Node.js developers with strong JavaScript/TypeScript skills and exposure to cloud-native development. Responsibilities Design, develop and maintain scalable full-stack applications Build secure, high-performance RESTful APIs using Node.js and Express Develop responsive Front End applications using Angular and TypeScript Write clean, maintainable and well-tested code using modern engineering practices Build and maintain automated tests using Jest Contribute to CI/CD pipelines using GitLab CI/CD Support cloud-native deployments using AWS and container technologies Participate in architecture discussions, code reviews and technical design sessions Work collaboratively with Product Owners, Designers, QA Engineers and DevOps teams Troubleshoot, optimise and improve application performance, scalability and reliability Essential Skills Strong commercial experience developing applications with Node.js Excellent JavaScript and TypeScript knowledge Experience building REST APIs using Express.js Commercial Angular development experience Experience writing automated tests using Jest Experience using GitLab CI/CD Understanding of Agile software delivery Experience working with Git Desirable Skills Experience with some of the following technologies would be advantageous: AWS & Cloud AWS Lambda API Gateway SQS S3 KMS CloudWatch X-Ray ECS/Fargate ECR EKS Infrastructure & DevOps Terraform Docker Kubernetes Kong Enterprise Gateway Databases MongoDB Amazon DocumentDB Messaging & Monitoring Kafka Confluent Schema Registry Dynatrace Other Serverless architectures Monorepo development Nunjucks What We're Looking For We're interested in developers who: Enjoy solving complex technical problems Write clean, maintainable code Have a collaborative mindset Are comfortable working within multidisciplinary Agile teams Take ownership of delivering high-quality software Have experience building secure, scalable enterprise applications Nice to Have Experience working on UK Government or other highly regulated programmes Active SC Clearance or eligibility to obtain SC Clearance Why Join Scrumconnect? You'll have the opportunity to: Work on high-profile digital transformation programmes Build modern cloud-native applications using the latest technologies Collaborate with experienced engineers across multiple disciplines Learn through continuous professional development Progress your career within a growing consultancy Work in a supportive, inclusive and collaborative environment Diversity & Inclusion At Scrumconnect Consulting, we're committed to creating an inclusive workplace where everyone feels valued, respected and empowered to succeed. We welcome applications from people of all backgrounds, experiences and perspectives. We believe diverse teams create better ideas, stronger products and better outcomes for our clients and communities.

About Scrumconnect Scrumconnect Consulting is a leading digital transformation consultancy delivering innovative, user-centred technology solutions across the public and private sectors. We specialise in helping organisations build scalable, secure, and accessible digital services by combining agile delivery, engineering excellence, and collaborative ways of working. Our multidisciplinary teams work across cloud engineering, software development, user-centred design, data, and DevOps to create impactful digital products that improve outcomes for millions of users. We foster a culture of continuous learning, innovation, and inclusion, empowering our people to deliver meaningful change while growing their careers in a supportive environment. Role Overview Scrumconnect is seeking an experienced AWS DevOps Engineer to support the delivery of large-scale digital services within a complex cloud environment. You will be responsible for building, maintaining, and optimising AWS infrastructure, deployment pipelines, and cloud operations across multiple environments. The role will involve working closely with multidisciplinary teams, including software developers, architects, testers, and delivery teams, to deliver secure, scalable, and resilient solutions. The successful candidate will have strong experience across AWS services, CI/CD pipelines, infrastructure automation, and modern application architectures comprising React Front End applications, microservices, serverless functions, and event-driven integrations. Key Responsibilities Support the setup, configuration, and management of multiple AWS environments across development, test, staging, and production. Build, maintain, and optimise CI/CD pipelines using Git-based tooling. Manage AWS infrastructure supporting a mix of React Front End applications, microservices, AWS Lambda functions, and Kafka event integrations. Support integrations involving ETL processes and Robotic Process Automation (RPA) solutions. Implement and manage secure networking patterns, including AWS Transit Gateway and PrivateLink where required. Support the deployment and management of Kong Enterprise API Gateway. Administer Multi-Factor Authentication (MFA) and AWS Identity and Access Management (IAM) roles and permissions for development teams. Ensure AWS resources are correctly tagged and managed in accordance with FinOps standards and governance requirements. Monitor system performance, availability, and reliability across environments. Collaborate with engineering teams to improve automation, deployment efficiency, and operational excellence. Troubleshoot infrastructure and deployment issues across cloud environments. Contribute to cloud security best practices and continuous improvement initiatives. Support the delivery of highly accessible digital services, ensuring Front End solutions align with WCAG 2.2 AAA accessibility standards. Essential Skills & Experience Strong experience designing, deploying, and supporting AWS cloud infrastructure. Experience managing multiple environments within AWS. Strong knowledge of CI/CD pipelines and Git-based workflows. Experience supporting modern application architectures, including: React Front End applications Microservices AWS Lambda functions Event-driven architectures using Kafka Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent). Strong understanding of AWS networking concepts, including Transit Gateway and PrivateLink. Experience administering IAM, MFA, and security controls. Knowledge of API management platforms such as Kong Enterprise. Experience implementing cloud governance and FinOps practices, including resource tagging standards. Strong troubleshooting and problem-solving skills. Experience working within Agile delivery teams. Desirable Skills Experience supporting ETL pipelines and data integration solutions. Exposure to Robotic Process Automation (RPA) platforms. Experience delivering services within UK Government or highly regulated environments. Familiarity with accessibility standards, particularly WCAG 2.2. Knowledge of monitoring and observability tools such as CloudWatch, Grafana, or Prometheus. What We Offer Opportunity to work on impactful digital transformation programmes. Collaborative and supportive working environment. Exposure to modern cloud technologies and large-scale platforms. Continuous learning and professional development opportunities. Flexible working arrangements. Diversity & Inclusion At Scrumconnect, we are committed to creating an inclusive workplace where everyone can thrive. We welcome applications from individuals of all backgrounds, experiences, and perspectives and are dedicated to fostering a diverse workforce that reflects the communities we serve. We are an equal opportunities employer and actively encourage applications from underrepresented groups. Reasonable adjustments are available throughout the recruitment process to support candidates who may require them.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Overview: We are looking for a highly skilled AWS DevOps/Data Engineer to design, build, and maintain scalable, resilient, and high-performing cloud-based data solutions. The ideal candidate will have strong DevOps expertise combined with data engineering capabilities, working across modern cloud technologies and automation frameworks. Key Responsibilities: Translate technical requirements into effective DevOps toolchains to enable product delivery Design and implement resilient, scalable, and highly available services Automate infrastructure, deployments, and testing using Infrastructure as Code (IaC) Ensure deployment strategies are repeatable, scalable, and reliable Provide technical leadership, mentoring, and coaching to junior team members Support delivery teams by troubleshooting and resolving complex cloud-related issues Work with data pipelines and processing frameworks to ensure data quality and reliability Perform data analysis to identify and resolve root causes of issues Collaborate with cross-functional teams to deliver end-to-end solutions Key Skills & Experience: Strong expertise in AWS cloud services, including: CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/or Amazon Athena for data querying and validation Strong understanding of EMR and log analysis Experience with GitLab for CI/CD pipelines, release tagging, and version control Knowledge of Docker and containerisation Understanding of encryption techniques (Server Side and client-side) Familiarity with Amazon Textract and Comprehend Strong understanding of data modelling concepts, including dimensional models and slowly changing dimensions Additional Skills: Ability to translate customer requirements into functional technical solutions Familiarity with engineering best practices and standards Strong understanding of data structures and solution design principles Experience working in agile delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.

Newcastle upon Tyne, United Kingdom Posted on 17/07/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.

Neptune North Limited is looking for an experienced Data Engineer to join their Data Analytics Team in Newcastle upon Tyne. The role involves developing and maintaining data pipelines and the central data platform, ensuring data reliability critical for investment processes. The ideal candidate will have expertise in SQL, Python, AWS, and other technologies, with the flexibility to bring in all levels of experience. This position promises an engaging work environment with opportunities to learn and make a significant impact.

Neptune North was founded in 2024 as a joint venture between Oliver Wyman, a global leader in management consulting and part of the NYSE-listed Marsh, and Rokos Capital Management, a global alternative investment fund manager. Our people are exceptional technical experts, who thrive on exploiting leading edge technologies to solve the most complex problems. We provide bespoke technology solutions to businesses operating in the banking and financial services, private capital and defence industries. Our working environment is founded on principles of trust, collaboration and shared purpose. We pride ourselves both on the high calibre of our people, and on the supportive workplace they create, where each individual is given autonomy to grow and thrive. From our headquarters in Newcastle upon Tyne, UK, we operate across our international office network. We are expanding rapidly, building teams in key markets to stay close to our clients and talent. Our Culture We are looking for exceptional talent with excellent communication skills Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users Curiosity is something we embrace and value highly We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities People need to be able to take ownership and be trusted to deliver, going the extra mile We want people who are highly motivated and have a high desire to learn Responsibilities We are seeking an experienced Data Engineer for our client's Data Analytics Team. This role involves building data pipelines to the firm's central data platform as well as development, testing and maintenance of said platform to ensure the availability, reliability, and integrity of data critical to the investment process. Data Pipeline Development: Design and develop sophisticated data pipelines to import data from external vendors, sell side partners, and other providers seamlessly into our central data platform. Platform Development & Testing: Contribute to the ongoing enhancement of our platform to ensure it aligns with ever changing business requirements. Test the system regularly to confirm its effectiveness and perform troubleshooting when necessary. Platform Maintenance & Data Reliability: Ensure our platform is well maintained, enabling uninterrupted access to crucial data points. Continuously verify data quality and integrity essential for our investment process. Continuous Improvement & Collaboration: Collaborate with internal stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. What makes a great candidate All levels of experience will be considered Expertise in designing and building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data platforms reliably. A track record of improving data reliability and quality Excellent communication skills and the ability to work effectively within a team based environment Self starter, detail oriented, and open to learning new technologies and methodologies An Undergraduate Degree in a relevant subject Make an impact from day one: we empower and trust our people to leverage and extend their skill sets Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends Deliver demonstrable business value working hand in hand with the customer Learn from industry experts on how financial markets and world economies work