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Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. HTML Essentials (6 weeks) CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Charles River Laboratories is seeking a Senior Cloud Engineer to provide engineering and architecture expertise within the Global Infrastructure Services team. The role focuses on designing, migrating, and operating secure cloud infrastructure across AWS and Azure, with a strong emphasis on automation, governance, and cross‑functional collaboration. The successful candidate will lead hybrid cloud initiatives, promote best practices, and mentor junior engineers while delivering resilient, #J-18808-Ljbffr

Working at CreateFuture CreateFuture is anAI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. We are looking for a Senior Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps running, in production. You’ll work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake, or AWS. • Take ownership of designing, building, and maintaining the production data and feature pipelines that machine learning systems depend on, training data preparation, feature engineering, and reproducible, point-in-time-correct datasets, with minimal supervision, • Take models from prototype to production and keep them there: packaging and deployment alongside data science colleagues, model versioning, automated retraining, and the monitoring that catches drift and degradation before a client does, • Build and maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks / Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs in performance, cost, and maintainability, • Own and continuously improve CI/CD for data and ML workflows, ensuring reliable, repeatable deployments of pipelines and models alike, • Mentor and support junior and mid-level data engineers, reviewing code and sharing knowledge to raise the standard of delivery across the team, • Troubleshoot and resolve complex issues in live data pipelines and deployed models, acting as a point of escalation for the wider team, • Partner with data scientists, cross-functional teams, and client stakeholders to understand data and ML requirements and shape them into technical solutions, • Have hands-on experience building the data and feature pipelines behind production machine learning, training data preparation, feature engineering, and feature stores, and understand why reproducibility and point-in-time correctness matter more than they first appear, • Have worked with MLOps in practice rather than in principle: model versioning and registries, experiment tracking, automated retraining, and monitoring for drift and model degradation (MLflow, SageMaker, Databricks ML, Vertex AI or comparable), • Are comfortable with ML frameworks such as scikit-learn, PySpark MLlib, or PyTorch / TensorFlow, enough to productionise a data scientist’s work, reason about what a model needs from the data, and spot where a training pipeline and a serving pipeline have quietly diverged. You don’t need to be the person designing the model, • Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which wouldn’t, • Have deep SQL skills and hands-on experience with data modelling (e.g., Kimball, medallion/lakehouse patterns, or domain-driven modelling), this is the load-bearing, provider-agnostic skill underneath almost all of our pipeline work, • Have strong Python and PySpark for batch processing, with production-grade, well-tested code. The bulk of this work is batch and ELT, but you’ll need to have experienced event-driven or micro-batch pipelines and know where the design assumptions stop holding, • Have owned orchestration in production, dependency design, retries, SLAs, and the observability that tells you a pipeline failed before the client does, • Have experience owning the delivery of data engineering work with limited oversight, including CI/CD management and support, • Have experience mentoring or supporting the development of less experienced engineers, • Are comfortable working directly with stakeholders to shape technical solutions from ambiguous requirements, presenting your work, estimation and discussing tradeoffs and risks. We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: • Call with our Talent Acquisition Team, • Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application! As set forth in CreateFuture’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. #J-18808-Ljbffr

• GKE (Google Kubernetes Engine), • Essential Skills & Experience, • GCP Expertise (Essential), • GKE (Google Kubernetes Engine) At Banking Group, we're building the future of financial services by transforming how technology empowers our customers, colleagues, and businesses. Through strategic investment in digital platforms, cloud technologies, API ecosystems, and modern engineering practices, we create scalable, secure, and resilient solutions that support millions of customers across the UK. Our team is responsible for building and operating Banking Group's External Marketplace Platform, enabling secure API onboarding, partner integration, developer enablement, and cloud-native platform services. We provide the foundational infrastructure, automation capabilities, and operational tooling that underpin critical Open Banking and Digital Transformation initiatives across the Group. We operate with an agile engineering mindset, leveraging modern DevOps, Platform Engineering, and Site Reliability Engineering (SRE) practices to deliver highly available, secure, and scalable solutions. Our focus is on automation, continuous improvement, operational excellence, and delivering a best-in-class developer experience. We are seeking an accomplished and highly skilled Senior DevOps Engineer to join our growing engineering team. In this pivotal role, you will help design, implement, and operate the cloud infrastructure, automation tooling, CI/CD pipelines, and platform services that support our External Marketplace platform and API ecosystem. You will work closely with engineering teams, architects, security specialists, and product stakeholders to build reliable and secure cloud-native solutions. You will play a key role in establishing infrastructure standards, driving automation initiatives, improving operational resilience, and enabling engineering teams to deliver software quickly and safely. This is an excellent opportunity for an experienced DevOps professional who thrives in complex enterprise environments and enjoys solving large-scale engineering challenges. • Design, implement, and manage scalable, secure, and highly available cloud infrastructure primarily on Google Cloud Platform (GCP)., • Develop and maintain Infrastructure as Code solutions using Terraform and reusable infrastructure modules., • Build self-service platform capabilities that enable engineering teams to provision and manage infrastructure efficiently., • Implement infrastructure standards, governance controls, and automation frameworks across multiple environments. Design, build, and optimize enterprise-grade CI/CD pipelines using tools such as: • GitHub Actions, • Jenkins, • GitLab CI/CD, • Harness Drive deployment automation, release management, environment provisioning, and configuration management practices. Improve deployment reliability through progressive delivery approaches, automated testing, and deployment guardrails. Champion GitOps and Infrastructure-as-Code practices across the engineering landscape. Provide technical leadership and guidance on cloud architecture, best practices, and operational excellence. • GKE (Google Kubernetes Engine), • Cloud Run, • Cloud Functions, • Pub/Sub, • Cloud SQL, • Apigee, • VPC Networking, • IAM, • Cloud Monitoring, • Design resilient and observable systems aligned to enterprise security and reliability standards., • API Platform & Marketplace Enablement, • Build and maintain infrastructure supporting enterprise API platforms and external marketplace services., • Enable secure onboarding of internal and external API consumers., • Establish standardized deployment and operational processes for API products and services., • Support API gateway technologies such as Apigee and enterprise integration platforms., • Drive incident management, root cause analysis, and post-incident reviews., • Improve platform availability, scalability, and performance through automation and engineering improvements., • Monitoring & Observability, • Implement enterprise monitoring, alerting, logging, and observability solutions., • Prometheus, • Grafana, • Google Cloud Monitoring, • ELK/Elastic Stack, • OpenTelemetry, • Proactively identify issues before they impact customers and engineering teams., • Develop dashboards and operational reporting for platform health and reliability., • DevSecOps & Security, • Embed security best practices throughout the software delivery lifecycle., • Integrate automated vulnerability scanning, code analysis, policy enforcement, and compliance controls into CI/CD pipelines., • Partner with Cyber Security teams to ensure compliance with internal and regulatory requirements., • Support implementation of secure identity and access management controls across cloud platforms., • Lead resolution of complex production incidents and service disruptions., • Continuously improve operational procedures, runbooks, and platform support processes., • Drive automation initiatives that reduce manual effort and improve service reliability., • Identify opportunities for cloud cost optimization while maintaining performance and resilience., • Mentoring & Leadership, • Mentor junior engineers and promote DevOps best practices across the engineering community., • Collaborate with architects, developers, testers, platform teams, and product owners., • Drive engineering excellence through knowledge sharing, technical leadership, and continuous learning., • Essential Skills & Experience, • DevOps & Cloud Engineering, • Proven experience (10+ years) in DevOps, Platform Engineering, Site Reliability Engineering, or Cloud Infrastructure roles., • Significant experience operating highly available production systems at enterprise scale., • GCP Expertise (Essential), • GKE (Google Kubernetes Engine), • Cloud Run, • Cloud Functions, • Pub/Sub, • Cloud SQL, • VPC Networking, • IAM, • Cloud Monitoring, • Secret Manager, • Cloud Storage, • Infrastructure as Code (IaC), • Expert-level knowledge of Terraform., • Experience building reusable infrastructure modules and automation frameworks., • Experience with policy-as-code and infrastructure governance., • Strong experience with:, • Kubernetes, • Docker, • Container security, • Service mesh technologies, • Experience operating production Kubernetes environments., • GitHub Actions, • Jenkins, • GitLab CI/CD, • Harness, • ArgoCD (desirable), • GitOps, • Deployment strategies, • Release automation, • Configuration management, • API & Integration Technologies, • Apigee, • Azure API Management, • Kong (desirable), • Strong understanding of:, • REST APIs, • OpenAPI Specifications, • OAuth2, • JWT, • API Security Standards, • Observability & Monitoring, • Prometheus, • Grafana, • ELK Stack, • OpenTelemetry, • Google Cloud Monitoring, • Scripting & Automation, • Python [optional], • Bash, • Go, • PowerShell, • Networking & Security #J-18808-Ljbffr

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. We are currently seeking a Senior Software Engineer to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You'll join a talented full-stack team of engineers and work on distributed services that are used across the entire ADM engineering stack. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. • Architect, implement, and maintain engineering solutions to solve complex problems, • Write well-designed, testable code, • Independently deliver high-value projects from design through delivery, • Collaborate with product managers on product requirements iterations, design feasibility and user feedback, • Learn and promote best engineering practices, • Document software functionality, system design, and project plans, • Mentor junior engineers, provide clear and constructive guidance, • Collaborate with engineers and stakeholders from other teams to resolve technical issues or coordinate dependencies, • Bachelor's degree in Computer Science or equivalent experience, • Extensive software engineering experience, • Track record of leading technical initiatives from design through delivery, • Comfortable working independently, with a bias for action, • Strong ownership mentality and drive to solve the most important problems, • Excel at written and verbal communication, • Experience with financial services or wealth management operations, • Experience with object-oriented programming, • Experience with AWS or another cloud platform, • Experience with IaC (infrastructure as code), preferably Terraform, • Experience with gen AI for coding, • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes., • Build Together - Collaborate to unlock the best solutions. Deliver lasting value., • Champion Our Clients - Exceed client expectations. Our clients' success is our success., • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry., • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #J-18808-Ljbffr

Accenture is seeking a Lead Software Engineer to join our Glasgow or Edinburgh teams. You will travel to client sites across the UK as needed and lead hands-on engineering while guiding junior developers. The role requires strong experience in modern languages and cloud-native platforms, with a focus on delivering high-quality software solutions and mentoring colleagues. A dynamic, collaborative environment with client-facing responsibilities awaits. #J-18808-Ljbffr

Location: Edinburgh Contract: 6 months Working pattern: Hybrid - 2 days per week in the office Day Rate: Excellent Day Rate Available We're looking for a Principal Engineer with strong Java development expertise to join a technical delivery team in Edinburgh. This is an opportunity to contribute to enterprise-level software engineering, shaping solutions that are secure, reliable, scalable and maintainable. You'll be involved throughout the development lifecycle, from technical design and implementation through to testing, deployment and production support. Working alongside architects, analysts, product owners and fellow engineers, you'll help deliver robust applications while promoting high engineering standards and supporting the development of junior team members. • Java and Spring Boot microservices development, • React Single Page Applications, • PostgreSQL database development, • API gateway technologies, including Tyk, Apigee or DataPower, • Cloud and application hosting using PCF, TAS or AWS, • Integration and batch processing using StreamSets, Airflow, ESP Services or GSS, • CI/CD pipelines and automated testing, • Technical design, code reviews and production troubleshooting You'll have the opportunity to influence technical delivery, improve application quality and contribute to engineering best practices within a collaborative environment. I review applications daily and will contact shortlisted candidates as quickly as possible. #J-18808-Ljbffr

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. CreateFuture is a Great Place to Work-Certified™ companyand has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. We are looking for a Senior Data Engineer to join our data team, taking ownership of the design, delivery, and reliability of production data pipelines built on Microsoft Fabric, Python, and PySpark. You’ll work with a high degree of autonomy, taking on the more complex and ambiguous data engineering challenges across client engagements, while mentoring junior engineers and helping to raise the bar on engineering practice. You’ll collaborate closely with architects, product teams, and client stakeholders to translate data requirements into robust, maintainable solutions. • Take ownership of designing, building, and maintaining scalable, production-ready data pipelines using Microsoft Fabric, Python, and PySpark, with minimal supervision, • Make sound technical decisions on pipeline architecture, data modelling, and tooling, weighing up trade-offs in performance, cost, and maintainability, • Mentor and support junior and mid-level data engineers, reviewing code and sharing knowledge to raise the standard of delivery across the team, • Own and continuously improve CI/CD pipelines for data engineering workflows, ensuring reliable, repeatable deployments, • Troubleshoot and resolve complex issues in live data pipelines, acting as a point of escalation for the wider team, • Partner with cross-functional teams and client stakeholders to understand data requirements and shape them into technical solutions, • Have significant hands‑on experience with a modern cloud data platform such as Microsoft Fabric (our current client’s platform), Databricks, Snowflake, or Synapse, including designing and operating production data pipelines — the platform is the wrapper, not the skill, and someone strong on one will pick up another quickly, • Have deep SQL skills and hands‑on experience with data modelling (e.g. Kimball, medallion/lakehouse patterns, or domain‑driven modelling) — this is the load‑bearing, provider‑agnostic skill underneath almost all of our pipeline work, • Have strong proficiency in Python and PySpark for batch data processing, with a track record of writing production‑grade, well‑tested code (this role is focused on batch/ELT pipeline engineering, not real‑time streaming — we treat the two as separate disciplines), • Have experience owning the delivery of data engineering work with limited oversight, including CI/CD management and support, • Have experience mentoring or supporting the development of less experienced engineers, • Are comfortable working directly with stakeholders to shape technical solutions from ambiguous requirements We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: • Call with our Talent Acquisition Team, • Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. #J-18808-Ljbffr

You'll gain hands-on experience with Terraform, Kubernetes, and modern DevOps tooling, guided by senior engineers, to accelerate your career in cloud and platform engineering. Banking Group is seeking a Junior DevOps Engineer to join the API Marketplace Team in Edinburgh on a hybrid arrangement (3 d

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