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JPMorgan Chase & Co. is looking for a Senior Lead Data Engineer to drive data engineering efforts within the Behavioral Insights Team. This pivotal role focuses on converting operational signals into actionable insights, enhancing the reliability and efficiency of data processes. You will also lead a team of engineers, manage reporting and analytics pipelines, and ensure adherence to data management practices. The ideal candidate will have strong SQL skills and experience with data storytelling.

REQ ID: FEQ327R160 Location:London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Procurement - Technology Lead inc. Infrastructure and Professional Services Responsible to: Procurement Director UK & Europe Department: Finance Location: JD Sports Fashion plc, Bury Head Office Role Background: This is a senior leadership role within the JD Group Procurement function, accountable for all Technology procurement activity across the Group. The Tech Procurement Lead will have direct ownership of the Infrastructure and Professional Services category whilst also providing strategic direction and day-to-day leadership to the Procurement Manager for Digital (SAAS & Digital) and the Technology Supplier Relationship Manger, ensuring a cohesive and commercially aligned Technology procurement strategy is delivered across all categories. The Tech Procurement Lead will operate at executive level, acting as a key commercial partner to the CTO and Technology leadership team. This role requires the confidence and gravitas to engage credibly at C-suite level - advising on commercial strategy, challenging technology investment decisions, and representing the Procurement function in senior forums. The successful candidate will be comfortable sitting alongside the CTO in supplier negotiations, steering groups and Exec led discussions, bringing commercial insight that directly shapes the Group's Technology agenda. Within the role, the successful candidate will drive margin, operational, and performance improvements to support our Technology sourcing strategy. This will primarily involve expenditure managed from our UK and European businesses but may expand globally where Group leverage opportunities exist. The successful candidate will bring both category expertise and people leadership capability - able to work alongside, develop, and challenge experienced colleagues to collectively improve sourcing processes, commercial terms, supplier performance and innovation across the full Technology spend portfolio. Responsibilities: Acting as the commercial lead for all Technology sourcing, the successful candidate shall ensure that negotiation, contract work and ongoing vendor management activities are delivered in accordance with Group and sector best practice, including but not limited to: Lead, develop and provide day-to-day direction to the Procurement Manager - Digital (SAAS & Digital), ensuring consistent procurement standards, commercial rigour and strategic alignment across all Technology categories. Refine and own the overarching Technology Procurement strategy, aligning Infrastructure, Professional Services and Digital categories into a coherent, prioritised plan. Operate as the primary commercial interface for the CTO and Technology leadership team, providing executive-level counsel on supplier strategy, commercial risk, and investment decisions - with the presence and credibility to influence at the highest levels of the business. Close engagement with senior colleagues including Technology leadership, Finance and Legal on matters including revenue/capex budgets, embedding savings, and supporting business cases for new projects and/or investments. Utilising Group Finance platforms and templates for Purchase Orders, tenders and eAuctions to ensure financial and operational transparency. Regular engagement with the Group Legal team to minimise risk and maximise commercial leverage via agreements with clearly defined service levels, KPIs and appropriate remedies for non-performance. Engage acquisition business contacts to ensure rapid delivery of financial benefits arising from wider JD-Group commercial leverage. Work with the Group Sustainability team to ensure sourcing activity contributes to Group ESG goals such as: i) Climate Change, ii) Sustainable Sourcing and iii) Recycling and the Circular Economy. Act as a trusted adviser and subject matter expert, leading complex procurement projects and providing strategic guidance across all Technology services. Own and drive the Technology procurement pipeline, ensuring the team has visibility of upcoming renewals, re-tenders and new requirements across both Infrastructure and Digital categories. Set and maintain procurement process and policy standards across the Technology team, holding team members to account for delivery and compliance. Partner with the relevant teams to formulate complex service requirements and scope, identify vendors, manage end-to-end RFP processes, provide supplier evaluation frameworks, and make recommendations on vendor selection. Key Relationships: CTO and Technology leadership team - primary commercial partner, providing executive-level counsel on supplier strategy, commercial risk and investment decisions. Group Procurement Director and wider Procurement leadership team - peer collaboration on category strategy, governance, reporting and savings delivery. Procurement Manager - Digital (SaaS & Digital) and Technology Supplier Relationship Manager - direct reports; day-to-day leadership, coaching and performance management. Technology function leads across Infrastructure, Networks, IT Operations, Core Tech and Transformation - business partners on demand planning, sourcing pipeline and supplier performance. Finance, Legal, Risk and Group Sustainability - cross-functional partners on budgets, contractual risk, savings validation and ESG alignment. UK and international colleagues across the JD Group, including recently acquired businesses, to surface and convert Group leverage opportunities. Strategic external suppliers and partners across the Technology supply base - relationship ownership, performance management, governance and innovation engagement. Skills/Experience/Knowledge required: Commercial experience within fast-paced omni-channel retail and/or relevant commodity/services experience with the ability to manage a high level of ambiguity or change. Confidence to own problems and issues, propose solutions and ensure deadlines and/or business goals are achieved. A self starter who has the initiative and confidence to seek out opportunities to deliver value. Influence - engage and drive change, owning and resolving issues and challenges. Strong engagement and communication skills and experience of successfully delivering process improvements and efficiencies. Attention to detail - focused and confident with a breadth of experience in related categories. Driven by data and analytics. You bring strong analytical skills with a passion for using data to develop innovative, effective solutions to address business needs, initiate opportunities and deliver margin improvement. A strong negotiator with the ability to influence using excellent oral and written communication and presentation skills. A natural relationship builder - able to establish credibility quickly with senior internal stakeholders (including C suite), peers across the Group, and strategic suppliers, and to sustain those relationships through both commercial negotiation and day to day delivery. Organised and deadline driven, bringing strong project management and analytical skills. Autonomous self starter with high levels of drive and energy - comfortable setting own direction, prioritising across a broad portfolio and progressing multiple workstreams in parallel without close supervision. Strategic: you recognise and resolve situations that are ambiguous or challenging and use logic to identify alternatives, evaluate, and present solutions while thinking about contingency plans. Confidence and credibility to constructively challenge senior business and Technology stakeholders - pushing back on assumptions, surfacing commercial risk, and holding the line on procurement governance while preserving strong working relationships. The Successful Applicant: Degree in Supply Chain Management, Business, Finance, Engineering or a related discipline; relevant professional accreditation (e.g. CIPS / MCIPS) preferred. A minimum of 4+ years' experience as a Procurement Manager (or equivalent senior category role) leading Technology procurement, with deep category knowledge across Infrastructure and Professional Services and exposure to SaaS & Digital categories. Demonstrable track record of leading high-value, high complexity Technology negotiations and contract structures - including managed services, multi year SaaS, professional services and outsourcing arrangements. Proven people leadership experience, including direct line management or matrix leadership of experienced procurement professionals, with the ability to coach, develop and hold to account. Excellent decision-making and strategic thinking, with the ability to balance commercial, operational and risk considerations under tight deadlines and in ambiguous situations. Proven track record of building and sustaining complex stakeholder relationships at senior leadership and C suite level, both internally and across the supplier base. Thorough understanding of end to end procurement procedures, governance frameworks and best practice category management, with the judgement to know when to apply rigour and when to flex. Confident user of Microsoft Office (particularly Excel and PowerPoint); experience with sourcing, contract lifecycle and spend analytics tools (e.g. Coupa, Ariba, Ivalua, SAP) is advantageous. Comfortable operating in a fast paced, rapidly changing omni channel retail environment with shifting priorities and high stakeholder visibility.

At the company's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. the company combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models Design and implement event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high-availability, multi-environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice-to-have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional-level cloud certification Production experience managing complex Kubernetes clusters and high-scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.

We are seeking a hands on high calibre architect for our Investment Technology platform who combines strategic thinking covering both business and technical architecture disciplines within a front office orientated global asset management technology environment. The Platform Architect is responsible for the end to end technical strategy, architecture, standards, and roadmap for one or more technology platforms. This leadership role demands deep knowledge of current and emerging platform technologies and end to end business flows covering Investment / front office capabilities. The Platform Architect ensures platforms are designed and evolved for consistency, scalability, convergence, and alignment to enterprise technology strategy-enabling business outcomes across all domains. About Schroders We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. The base We moved into our new HQ in the City of London in 2018. We're close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly. The team The Asset Management Platform (AMP) is a global technology change and delivery organisation responsible for delivering the platforms that underpin Schroders' investment, client and operational capabilities. AMP brings together a set of business aligned technology platforms-including Client, Investment, Group Operations, Data and Finance-into a single, integrated asset management capability, enabling consistent, scalable and value driven outcomes across the firm. Operating within a platform centric model, teams are aligned to business outcomes while leveraging shared enterprise capabilities across architecture, data, engineering and delivery to drive standardisation, reuse, and speed of execution. The Platform The Investment Platform is a core domain within the Asset Management Platform, supporting the full front office lifecycle from research, quantitative analysis and investment solutions through to portfolio construction, order generation and trading. Operating as a business aligned, outcome driven platform, it brings together integrated teams, shared data and standardised engineering and delivery practices to enable scalable, high performance investment capabilities. As part of a broader, enterprise Asset Management Platform strategy, the Investment Platform plays a critical role in harnessing data and AI, simplifying the technology landscape, and delivering the tools and insights that underpin investment decision making across the organisation. What you'll do Platform Ownership: Own platform architecture, technical standards, and patterns-ensuring alignment to enterprise overall strategy. Technical Leadership: Provide hands on leadership and deep expertise in specific technology platforms (e.g., cloud, data, integration, security). Platform Roadmap: Develop, maintain, and communicate platform roadmaps aligned to business and technology objectives. Standardisation and Convergence: Drive platform standardisation and convergence across technology pillars and business domains. Continuous Improvement: Enable continuous evolution and improvement of the platform ecosystem, ensuring platforms remain secure, resilient, and performant. Cross Team Collaboration: Work closely with domain architects, business stakeholders, and the Enterprise Architecture team to ensure platforms meet current and emerging needs, align with enterprise direction, and support business strategy. Architectural Governance: Contribute to standards, principles, governance, and the architectural community at the platform level. Consultation: Provide technical input and guidance to business led projects and domain architects. The knowledge, experience and qualifications you need Proven experience as a Platform, Domain or Enterprise Architect within a complex, large scale technology environment, ideally within asset management or financial services Strong understanding of front office investment capabilities, including research, quant, portfolio construction, order generation and trading workflows Demonstrable experience defining and delivering platform strategies, target architectures, standards and roadmaps, with clear alignment to business outcomes Direct experience with Aladdin or equivalent front office investment platforms, with a strong understanding of how such platforms integrate across the investment lifecycle and wider technology estate Deep knowledge of modern architecture principles, including event driven architecture, API led integration, cloud native design and data centric platforms Experience operating within platform centric operating models, driving standardisation, reuse and convergence across multiple domains and teams Strong understanding of data platforms and data architecture, with experience leveraging data to enable advanced analytics and AI driven capabilities Proven ability to establish and enforce architecture governance, standards and assurance, working within enterprise guardrails and contributing to broader architecture communities Ability to translate complex business strategy and investment domain requirements into clear, scalable technology architecture and design decisions Hands on technical depth with the ability to engage credibly with engineering teams and influence solution design and delivery Experience working across multiple technologies, vendors and third party platforms, including managed services and strategic vendors Strong stakeholder management skills, with the ability to influence senior business and technology leaders across global teams Proven track record of leading architecture for large scale, business critical transformation programmes What you'll be like The successful candidate will be a strategic and outcome driven architect, able to connect business priorities with clear, scalable technology direction. They will combine strong vision with pragmatism-defining long term platform strategy while making practical decisions that enable delivery at pace. With deep technical credibility, they will engage confidently across architecture, engineering and delivery teams, shaping solutions that are robust, aligned to enterprise standards and focused on delivering tangible business value. They will operate as a collaborative and influential leader within a complex, global environment, driving alignment across business and technology stakeholders. A strong advocate of simplification, standardisation and reuse, they will actively reduce complexity and drive convergence across the platform. Clear in their communication and accountable in their approach, they will take ownership for the platform's evolution, contribute to the wider architecture community, and continuously apply emerging technologies-particularly data and AI-to enhance investment capabilities and outcomes. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought facilitated by an inclusive culture will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer: you are welcome here regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio economic background or any other protected characteristics About Us We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Job Info Job Identification 1597 Job Category Technology Posting Date 06/19/2026, 12:36 PM Job Schedule Full time Locations 1 London Wall Place, London, EC2Y 5AU, GB

Company the company, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, the company provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management. The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals. Role Overview the company is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands on engineering leadership role focused on designing and delivering scalable, cloud native, event driven platforms that enable data driven and intelligent solutions across the company' client facing business units. The role will form part of the Madison CRM & Analytics programme and will require a strong combination of deep technical expertise, end to end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high performance platforms and user facing solutions that support critical front office workflows. This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice. Key Responsibilities Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI. Build, enhance, and operate event driven, real time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services. Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end to end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid level engineers, setting high technical standards through code reviews, design reviews, and hands on technical leadership. Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction. Partner closely with business stakeholders, product managers, and cross functional technology teams to translate requirements into robust technical solutions. Optimise systems for performance, scalability, resiliency, reliability, and low latency operation. Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements. Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution. Support production systems, ensuring timely issue resolution, effective root cause analysis, and ongoing service improvement. Required Skills and Experience Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud native, distributed, scalable, and resilient systems. Hands on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift. Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery. Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices. Experience deploying and operating production grade systems in cloud or hybrid cloud environments. Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions. Strong analytical and problem solving skills, with the ability to operate independently in a complex delivery environment. Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners. Preferred Skills Experience working on CRM, client intelligence, sales enablement, or front office data platforms. Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology. Familiarity with AWS or other public cloud platforms. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices. Experience working in globally distributed Agile engineering teams. Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments. Candidate Profile The ideal candidate will be a hands on engineering leader who combines strong technical depth with pragmatic delivery judgement. They will be comfortable moving between architecture, coding, code reviews, stakeholder engagement, and production support. They should demonstrate ownership, intellectual curiosity, strong communication skills, and a commitment to delivering high quality technology solutions in a fast paced environment. They will be expected to set technical direction, raise engineering standards, and help build scalable platforms that support the company' client facing businesses.

Job Title: Senior Director, Artificial Intelligence (AI) and Data Strategy, TOSI Reporting to: VP Technical Operations, Science & Innovation Location: Macclesfield, UK Hybrid working model - 3 days per week onsite At AstraZeneca, science compels us to push the boundaries of what is possible to turn science into life changing medicines for patients who need them most. We deliver breakthrough science by creating thriving, vibrant and open science centres where our scientists are free to pursue their ideas and collaborate both with colleagues and our academic and industry partners. Introduction to role: Are you ready to harness AI and data to reshape how life changing medicines are sustained at scale? In this role, you will set the vision and lead the execution of a bold AI and digital strategy that connects development to large scale technical operations, accelerating productivity, compliance, and problem solving across the commercial product lifecycle. You will lead a small, high performing team of AI and digital experts to deliver measurable impact-reducing cycle times, improving first time right outcomes, and embedding sophisticated analytics into daily decision making. If you can bring senior leaders together behind a clear and compelling roadmap, implement solutions that deliver lasting value, and build the capabilities that embed transformation for the long term, we would be delighted to hear from you. Accountabilities Vision and Strategy: Define and own the AI, data, and digital strategy for on market technical functions, aligned to business objectives and patient impact. Value Realisation: Drive measurable productivity gains and cost efficiencies; set benefit targets and ensure solutions translate to outcomes in the business. Portfolio Leadership: Build and manage a balanced portfolio of initiatives that redefine day to day operations, from pilot to scale. Indicators and Governance: Establish metrics, tracking mechanisms, and governance to ensure benefits are realised and sustained. Solution Delivery and Adoption: Lead the development, delivery, implementation, and adoption of digital and AI solutions that enhance efficiency and innovation across teams. Platform Integration: Partner with platform owners to integrate ERP, MES, QMS, and content/regulatory systems into end to end digital solutions. Data Architecture and Compliance: Shape robust data architectures and governance that enable AI at scale in regulated environments. Investment and Stakeholder Alignment: Create compelling business cases, align senior leaders, secure funding, and track the value delivered. Workforce Capability Uplift: Build a strategic capability programme that raises digital fluency and prepares the organisation for the future. Team Leadership: Lead and mentor a small team of AI/digital experts; foster a culture of innovation, delivery, and continuous improvement. Portfolio and Resource Management: Manage budgets, resources, and multi functional collaborations to meet commitments and influence outcomes. Safety, Quality and Standards: Champion SHE and cGMP principles while advancing digital transformation. Essential Skills/Experience Master's degree or equivalent experience or higher in a relevant science or engineering field. Technical expertise, including knowledge in the language of AI, data engineering, e.g., Python, R, cloud platforms (AWS/GCP). Solid understanding of data architecture, data governance, and AI deployment at scale in regulated environments. Experience working with enterprise platforms (e.g., ERP, MES, QMS, content/regulatory systems) and integrating them into digital solutions. Strong CMC knowledge with experience in Pharmaceutical Product Development and Manufacture, along with extensive knowledge of CMC processes across all product stages. Strategic leadership with a proven track record of developing, leading and delivering multi functional digital strategies and transformative programmes within a pharmaceutical CMC context. An innovative outlook that employs a digital first approach to streamline processes, enhance compliance, and foster efficiency. Outstanding business insight, proficiency in developing a strong argument for projects, organisational skills and lean tool deployment. Managing transitions and agility with ability to drive digital transformation and adapt strategy based on internal constraints or evolving tech/regulatory landscapes. Experienced in managing collaborators, good communication skills, capable of leading and collaborating effectively at senior levels. Ability to build consensus and navigate conflicts. A problem solving approach that delivers critical thinking and substantial business value. Thorough understanding of principles, applications and management of SHE and cGMP. Desirable Skills/Experience PhD or equivalent experience in a relevant scientific, engineering, or data field. Demonstrated experience operationalising MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi functional teams and vendor ecosystems across multiple time zones. Knowledge of ICH guidelines (e.g., Q8-Q12) and regulatory interactions related to digital/AI enabled submissions. Track record of thought leadership (e.g., publications, conference talks, patents) on AI and data in CMC. Certification in Lean Six Sigma or portfolio/program management. Experience spanning both small molecule and biologics would be advantageous. Date Posted 25-Jun-2026 Closing Date 24-Jul-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

About the role We are seeking a Senior Backend Engineer II that is passionate about our mission of money without borders to collaborate with our Regional Europe & United Kingdom team. Your role will be to drive data driven and innovative growth decisions, with a unique opportunity to lead and grow the team in delivering value to our customers by developing the Wise product within Europe. How we work You will work closely with product, design, analytics, risk and controls to translate your ideas and designs into tangible products and improvements for our customers, directly impacting Wise's mission and millions of our users. As part of the team, you will be responsible for making Wise work better for customers within Europe and the United Kingdom. We are modifying our core proposition to better suit customers based on their country. Our mission is to transform Wise into a truly local product in Europe, providing the best account experience for people with international lives. You will be part of deep research into different markets across the continent and lead the development of functionality for those markets, from local payment methods or account details, to tax payments and reward programmes. What will you be working on? Design, build, and maintain high-performance, scalable tools and services utilizing Java, Kotlin, Spring Boot, cloud technologies, etc. Build account-level features, such as tax payments or savings account products, to cater for European markets. Collaborate with product managers to develop business requirements and turn them into technical solutions. We want engineers to be comfortable contributing to product development. Mentor junior engineers, offering technical guidance and conducting code reviews. Drive architectural decisions and technical strategy for Regional Expansion Tribe. Contribute to our engineering culture through knowledge sharing and best practices. Work with the product team on customer interviews for our markets, gather quantitative and qualitative data to better understand our customers and build solutions for them. Document and present data driven results to product stakeholders, explaining and proposing strategies that align with the product's risk appetite and business objectives. What do you need? Knowledge of Java and Spring Boot. Knowledge and experience with asynchronous messaging systems, such as Kafka. Experience working with relational databases, SQL query optimization, and schema design. A strong product mindset, prioritizing customer needs and making data driven decisions. A strong sense of ownership and excellent communication skills to drive cross team projects. Ability to work independently while also being a collaborative team player, frequently engaging in cross team efforts. The ability to break down complex projects into incremental milestones that deliver customer value. Experience with common design and architectural patterns, coupled with a passion for writing clean, performant, and well tested code. Curiosity and a drive for continuous learning and improvement. Adherence to and advocacy for best coding practices, continuous delivery, and code reviews. A proven track record of leading technical initiatives and mentoring other engineers. What do we offer Starting salary: £111,000 - £145,000 + RSUs

Data Engineering Lead - Value & Analytics Location: London or Edinburgh Working pattern: Hybrid working Start date: ASAP Employment type: Permanent Salary: £38,000 - £46,000 (+ £3,300 London Weighting) Level: Senior The Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function. You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking ownership of the data engineering and analytics capabilities behind the organisation's Value Dashboard, you will integrate financial, project and operational information into a consistent and automated view of performance. Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions. The Role You will provide the technical engine for the Value Management Office, designing and maintaining the pipelines, models and dashboards used to track portfolio performance, benefits realisation and strategic return on investment. While portfolio and strategy teams define what value should be measured, you will own how the information is captured, integrated, automated and presented to leadership and board-level audiences. Key Responsibilities Design and implement automated data pipelines connecting operational, financial and project management systems, including Jira, Azure DevOps and SAP Build and maintain executive dashboards using Power BI, Microsoft Fabric, Tableau or similar tools Visualise objectives, OKRs, KPIs, benefits and actual versus forecast return on investment Develop scalable data models that connect portfolio activity and project outputs to strategic objectives Create a trusted single source of truth for prioritisation, investment decisions and resource allocation Engineer automated alerts and reporting to identify declining value or performance Translate business-case and benefits metrics into reliable technical data models Manage the analytics engineering lifecycle from ingestion and ETL or ELT through to front-end visualisation Define technical standards for value-tracking tools, data models and performance analytics Ensure leadership reporting is accurate, auditable, secure and compliant with governance requirements Promote data transparency and access to trusted performance information Connect information from fragmented business units and systems while maintaining consistent definitions and metadata Work with Portfolio, Product and Finance teams to improve the quality and automation of value reporting Design solutions that scale as organisational priorities, portfolio structures and reporting requirements change Maintain documentation covering data lineage, models, interfaces, controls and reporting standards Essential Experience Strong experience in data modelling, solution design, metadata management, coding, testing and delivering data engineering solutions Advanced Power BI and/or Microsoft Fabric experience creating executive-level dashboards Experience with ETL or ELT tools, scripting, data warehouses and data lakes Experience integrating fragmented data from operational, financial and project management systems Experience supporting major digital transformation or change programmes across multiple technology domains Strong cloud knowledge across Azure, AWS, SaaS, IaaS or PaaS environments Understanding of cyber security, data governance and regulatory requirements Strong business systems analysis skills and the ability to connect technical data to financial and strategic value Ability to present complex data through intuitive dashboards for non-technical senior stakeholders Excellent written and verbal communication skills Fluency in English Desirable Experience Experience within a Value Management Office, PMO or strategy-led data function Experience in financial modelling, benefits realisation or commercial performance analytics Previous line management experience Experience within a large, international or highly complex organisation Microsoft Fabric, Power BI, Tableau, data engineering or related professional certification Degree or equivalent experience in Computer Science, Information Technology, Data Engineering or a related discipline Experience designing solutions in complex environments where data is distributed across multiple business units Ability to lead technical discussions, challenge assumptions and recommend pragmatic engineering approaches Important Information Applicants must be a UK resident. Applicants must have the unrestricted right to work in the UK. No visa sponsorship is available for this role. This position is offered on a hybrid basis, with no fully remote option. A regular physical presence in the office is required for the success of the role. The exact hybrid working pattern may vary depending on the selected office location. Equal Opportunity Employer. All qualified applicants will receive consideration.

About the Role Grade Level (for internal use): 09 Location: London, United Kingdom Program Overview: When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You are part of a team that produces high quality fundamental research based on established criteria. Our CREDit Graduate Program is a two-year training and development opportunity with our next intake joining us in September 2026. CREDit Program Analysts are hired for a specific practice; however, you are expected to transition between practices as dictated by business demands. In your first year CREDit analysts focus on acquiring skills and knowledge from your home practice. In your second year CREDit analysts gain exposure to other practices through a mix of classroom training and small projects or short-term secondments. All analysts combine practical work experience with the completion of a relevant qualification. For example, this could be the CFA. The Practice When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You will be part of a team that produces high quality fundamental research based on established criteria, you have the opportunity to ask probing questions to senior corporate executives, and interact with the global investor community. With offices in 26 countries, rating $47.5 trillion in debt, and with nearly 1,400 credit analysts, S&P Global Ratings is an important part of the world's financial infrastructure and has played a leading role for more than 150 years in providing investors and financers the information they need to more easily, quickly and efficiently provide capital to businesses and governments. The Business Practice Groups include: Corporates, Public Finance, Financial Institutions, Structured Finance, Sovereign and International Public Finance, and Infrastructure. This position will be with our Government team within our Sovereign and International Public Finance practice. Key Responsibilities Conduct credit and recovery analysis for various companies and services provided to corporate, institutional, and governmental clients, ensuring accuracy and attention to detail. Evaluate the creditworthiness of organizations, focusing on their ability to meet financial obligation. Provide timely and precise quarterly financial statistical and data analysis, demonstrating strong organizational skills. Assist in reporting, research, and presentation development, leveraging analytical skills to support research and analysis. Collaborate with the team on execution improvements and ad-hoc writing projects, fostering a collaborative and inclusive work environment. Utilize AI technologies to analyze large datasets and derive actionable insights, integrating them into existing analytical frameworks. What We're Looking For Required Qualifications and Experience: Completion of a minimum undergraduate degree by August 2026, with a strong academic record. All majors welcome, including Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics. Proficiency in Excel and other Microsoft Office products (Word, Outlook, PowerPoint), demonstrating the ability to handle data and presentations effectively. A proactive mindset and adaptability, essential for thriving in a dynamic environment influenced by advancements in artificial intelligence and technology. Intellectual curiosity, with a keen interest in learning and applying new knowledge in credit analysis. Ability to conduct independent analysis and research, showing initiative and resourcefulness. Strong relationship-building skills, emphasizing collaboration and effective communication with team members. Strong storytelling skills, able to take complex data insights and turn them into engaging narratives that resonate with and inform our stakeholders. Demonstrated problem-solving, time-management, attention to detail, and organizational abilities. Fluency in English and the primary language of the hiring location. All employees are required to work from the office a minimum of 2 days per week. We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications and Experience Familiarity with AI technologies or tools, including Machine Learning Algorithms, Natural Language Processing Tools, and/or Robotic Process Automation, reflecting a forward-thinking approach. Right to Work Requirements This role is limited to persons with indefinite right to work in the country where this job has been posted for. Please note no visa sponsorship is available for the position. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You Our Mission Advancing Essential Intelligence. Our People We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law . click apply for full job details

Closing Date 2026-07-31 Job Title: Data Engineer Location: Durrington, Worthing (Hybrid/Flexible) Contract Type: Permanent Hours: 37 Salary: Up to £47k depending on skills and experience About the role: We're looking for a Data Engineer to join our Data & Analytics team as we embark on an exciting transformation in how we manage and use data across Southern Water. This role sits at the heart of our data strategy, helping to improve how we manage, govern and utilise data to drive better outcomes for our customers and the business. Working within a collaborative, forward-thinking team, you'll play a key role in building and scaling our modern data platform on Microsoft Azure. What you will be responsible for: As a Data Engineer, you'll design, build and optimise data solutions that enable secure, scalable and high-quality data across the organisation. Build and maintain ELT pipelines to ingest, transform and load data into the Southern Water Delta Lake Automate and manage data pipelines using Azure Data Factory and Databricks, ensuring reliability and performance Design and implement scalable data models to support analytics, reporting and machine learning use cases Apply data governance, quality and security best practices using tools such as Unity Catalog, Purview and Key Vault Collaborate with data scientists, analysts, DevOps and business stakeholders to deliver aligned data solutions Monitor, troubleshoot and optimise data pipelines to improve performance, scalability and cost-efficiency Additional Requirements specific to the role Hybrid working with occasional travel to Durrington office Participation in team collaboration and delivery sessions as required No regular standby or rota requirements What you'll bring to the role: Essential Experience working with Azure data services including Databricks and Azure Data Factory Strong programming skills in SQL and at least one of Python, Scala, Bash or PowerShell Proven experience in data engineering, including building pipelines, data modelling and working with large datasets Understanding of data warehousing principles, big data architectures and performance optimisation Strong analytical and problem-solving skills with the ability to deliver complex solutions Desirable Microsoft Certified: Azure Data Engineer Associate or Azure Fundamentals Databricks Data Engineer certification or experience working in a similar environment Southern Water is at the forefront of transforming Britain's water industry, investing significantly to enhance resilience, sustainability, and service excellence. With £7.8bn planned investment for 2025-30, this is an unparalleled opportunity to join a business committed to delivering a generational shift in the way water services are managed. You will be joining at a timesignificant change, working alongside a highly skilled leadership team with a clear vision for the future. We offer an environment where senior professionals can make a meaningful impact, influence major strategic decisions, and drive long-term value creation At Southern Water, we believe diverse perspectives drive innovation. If you're passionate about making a positive impact and think you can bring value to our team, we'd love to hear from you-even if you don't tick every box. Your unique skills and experiences could be exactly what we need. Additional information: In line with Southern Water's security requirements, successful candidates will be required to provide evidence of their identity, eligibility to work in the UK, criminal record check (DBS) and verification of their employment and/or education history for the past three years. Appointment to this role is subject to the successful completion of all pre-employment checks, including security vetting. Please note that if a candidate does not meet the required security standards or fails to pass the vetting process, Southern Water reserves the right to withdraw the offer of employment. Some positions may also require higher levels of security vetting, which may involve providing additional documentation.

PLP Group is seeking a Senior Machine Learning Engineer and Data Analyst to design, extend and operate financial risk scoring systems at scale. You will work on models and pipelines processing hundreds of terabytes of data, balancing accuracy, explainability and robustness for production decisions. The role sits at the intersection of ML, fintech analytics and big-data engineering, requiring strong ML theory, hands-on data engineering and pragmatic fintech experience to evolve scoring algorithms

Senior Machine Learning Engineer & Data Analyst - Financial Risk ScoringJob detailsEngineeringLondon, New York, Munich, Lisbon, RemoteFull-time$75,000 USD - $130,000 USDWe are looking for a senior machine learning expert and data analyst to help us design, extend, and operate financial risk scoring systems at scale. You'll work on models and pipelines that process hundreds of terabytes of data and power decisions where accuracy, explainability, and robustness matter. This role sits at the intersection of machine learning, fintech analytics, and big-data engineering. You'll help evolve our scoring algorithms, improve signal quality, and ensure our models remain reliable and interpretable in production environments. We're especially interested in someone who can combine strong ML theory, hands-on data engineering, and pragmatic fintech experience. What You'll Do Design and improve financial risk scoring algorithms and models. Analyze large-scale datasets (hundreds of TBs in Elasticsearch and related systems). Build and maintain data processing pipelines for feature generation, training, and evaluation. Develop ML models for anomaly detection, fraud detection, credit/risk scoring, and behavioral analysis. Validate models for accuracy, bias, stability, and drift over time. Ensure models are explainable, auditable, and production-ready. Work closely with engineering teams to deploy models into production systems. Optimize performance and cost across large-scale data infrastructure. Define metrics, dashboards, and monitoring for model performance. Investigate edge cases and failure modes in scoring systems.What We're Looking For Must-have Senior-level experience in machine learning and data analysis. (5+ years) Strong background in financial risk, fintech analytics, or fraud detection. Experience building and deploying production ML models. Strong Python ecosystem skills (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, etc.). Experience with large-scale data processing (100s of TBs). Deep experience with Elasticsearch or similar distributed data stores. Experience designing data pipelines (batch and/or streaming). Strong statistical reasoning and experimentation skills. Ability to translate business risk concepts into measurable model features. Experience evaluating model drift, bias, and long-term stability.Nice-to-have Experience with real-time scoring systems. Experience with distributed compute frameworks (Spark, Beam, Flink, etc.). Familiarity with regulatory or compliance-sensitive environments. Experience with graph-based risk models or transaction network analysis. Experience building internal analytics tools or dashboards. Knowledge of feature stores and model versioning systems.How You Work You think critically about data quality and signal reliability. You design models that are robust, explainable, and production-safe. You're comfortable moving between analysis, modeling, and infrastructure. You can handle messy, real-world financial data at scale. You communicate clearly with engineers, product teams, and stakeholders. You care about correctness and long-term maintainability.Example Problems You Might Work On Extending risk scoring models with new behavioral signals. Detecting anomalous transaction patterns across massive datasets. Improving precision/recall tradeoffs in production scoring. Building pipelines that process and index large transaction datasets. Designing model monitoring to detect drift and degradation. Optimizing large-scale Elasticsearch queries and aggregations. Combining rule-based and ML-based scoring systems.Why Join Us Competitive salary + performance incentives Equity aligned with long-term growth High ownership and direct exposure to leadership Remote-first with global team Health and sports benefits Yearly international team off-sites Work on high-impact financial risk systems. Tackle real-world ML challenges at large scale. Influence the architecture of our scoring and analytics platform. Collaborate with experienced engineers and data specialists. Own meaningful parts of our data and ML strategy.How to Apply Send us: A short introduction and relevant experience. Examples of ML or risk models you've worked on. Links to projects, papers, or code (if available). We're particularly interested in candidates who can demonstrate experience building robust financial risk models on very large datasets and bringing them successfully into production.

At Synamedia, we're a global team of 800+ trailblazers across 17 countries, revolutionizing how the world is entertained and informed. Synamedia helps many of the world's leading operators and media companies create, deliver and monetise next-generation video experiences across mobile and big screen. Combining integrated platforms, cloud innovation and trusted operational expertise, Synamedia enables customers to grow audiences, increase engagement, and accelerate digital transformation. Our solutions have been built over the last three decades and are trusted by giants like Astro, Sky, beIN Sports, Vodafone, OSN, Etisalat and many more. Ready to grow with us and shape the future of media and entertainment solutions? Let's do it together! Role & Responsibilities We work in close partnership with our customers to deliver high-quality, high-performance, and efficient software solutions and processes. Our flagship product has evolved over many years through expert collaboration across multidisciplinary teams and multiple global locations. We are seeking engineers with strong development and integration experience who thrive in collaborative environments and can contribute effectively within an innovative, scaled Agile, customer-aligned project. Desired Skills Strong team player who enjoys challenges and demonstrates excellent analytical skills Proactively seeks innovative approaches to solving both new and existing customer problems Demonstrates a proactive, problem-solving mindset with a focus on continuous improvement Passionate about leveraging AI-driven tools to streamline workflows, automate repetitive tasks, and accelerate development Required Skills/Qualifications Experience designing software to meet customer and internal requirements, including defining interfaces between software services Experience working within Scaled Agile / Scrum environments, including estimation and planning Experience with Set-Top Box (STB) platforms Strong knowledge of C/C++/Qt in an embedded environment Experience designing and working with Service Oriented Architectures (SOA) Deep understanding of embedded systems architecture and associated constraints Experience with Continuous Integration and Continuous Deployment (CI/CD) pipelines Hands on experience with Docker, AWS, and Jenkins Familiarity with modern DevOps practices and automation University degree in relevant subject Growth Opportunities When welcoming new talent into the team, we are always looking for opportunities to bring in new ideas, those who ask challenging questions and have the curiosity to learn. These qualities are important to us as we nurture a culture of innovation, seize more opportunities to partner with our customers and make a difference as we transform the future of video. To further support your growth and that of our talent pool, Synamedia offers an exhaustive library of skill enhancement resources from AWS, SkillSoft and other partners to help you upskill while on the job. Be it data analytics that piques your brain or content creation, there's something for every kind of mind. Benefits and Perks Flexible working arrangements. Competitive pay hikes and bonus packages. Skill enhancement and growth opportunities. Health and wellbeing programmes. Collaborative work with a truly global team. Equal opportunity employment. A Culture of Belonging Synamedia is committed to promoting a diverse, inclusive and equal opportunity community - a place where we can all be ourselves and succeed. Our values connect us, and we love to win together. We work with a bias to action, have a bold approach and encourage being deeply curious to grow and evolve, as a team. In our aim to foster a people-friendly environment, we offer a range of family friendly, inclusive employment policies, flexible working arrangements, engagement activities and services to support all our colleagues across our 20 office locations. Synamedia regularly organises community events that promote cohesion and diversity among colleagues. We are proud of our mental health wellbeing initiatives, our Pride month awareness campaign, our cancer awareness programme and much more.