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Role: MySQL Database Administrator Job Type: Permanent Location: Sheffield, UK Number of hours: 40 hours per week – full time Ready to utilize your experience and expertise in MySQL Database Administration? We have an exciting role for you - MySQL Database Administrator! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. The Role As MySQL Database Administrator (DBA), you are responsible for the performance, integrity, and security of MySQL databases. Key responsibilities: • Installation & Configuration: Set up, configure, and maintain MySQL database servers across various environments (On-prem, Linux, Windows, or Cloud like AWS RDS)., • Performance Tuning: Monitor system health and perform query optimization, slow query analysis, and indexing strategies to ensure high efficiency., • Backup & Recovery: Design and implement robust backup and restoration strategies to ensure 24x7 operation support and business continuity., • Security Management: Manage user access, permissions, and data encryption to ensure compliance with data protection regulations., • High Availability: Implement and manage MySQL replication (Master-Slave/Master-Master) and disaster recovery solutions., • Database Design: Collaborate with developers on schema design, table structures, and capacity planning Your Profile: Key skills/knowledge/experience: • Proficiency in MySQL: Deep understanding of storage engines (InnoDB, MyISAM), MySQL 8.0 features, and partitioning., • Tools: Expertise in MySQL Workbench, Percona XtraBackup, and monitoring tools like Prometheus or Grafana., • Operating Systems: Strong command of Linux/Unix environments and shell scripting (Bash/Python) for task automation., • Cloud Platforms: Experience with managed database services on Google Cloud SQL or Azure, • Certification: Industry-recognized certifications like Oracle Certified Professional, MySQL Database Administrator are highly preferred.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

GCP Data Engineer - Dataflow 6 Month Contract Inside IR35 Up to £650 per day Remote We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks. What you’ll be doing: • Designing and building ETL/ELT pipelines, • Developing scalable data workflows on GCP, with a strong focus on Google Cloud Dataflow, • Implementing robust data ingestion frameworks using batch and streaming approaches, • Working with structured and semi-structured data, • Collaborating with Data Modelling & Analytics teams, • Driving data reliability, monitoring, and observability, • Automating deployments and workflows, • Contributing to tooling and framework decisions What we’re looking for: • Strong ETL/ELT pipeline experience, • Proven GCP data services expertise, including hands-on experience with Google Cloud Dataflow (essential), • Strong SQL and data transformation skills, • Experience with orchestration and pipeline automation, • Background in modern data architectures (lakehouse/warehouse), • Proactive, ownership-driven mindset Nice to have: • Data Vault 2.0 exposure, • BigQuery optimisation experience, • Open-source data framework experience, • CI/CD for data pipelines

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

At Valcon, we help organisations unlock the full value of data, AI and digital platforms by building scalable, automated cloud foundations. We are looking for a Senior Principal in Cloud Engineering to lead the design and delivery of enterprise-scale cloud platforms that support modern data, AI and application workloads. This is a senior consulting leadership role responsible for shaping client cloud strategies, designing modern platform architectures and leading complex transformation programmes. You will work with executive stakeholders to modernise legacy infrastructure, establish platform engineering capabilities and enable organisations to deploy and scale digital products at speed. The role combines strategic architecture, transformation leadership and deep cloud engineering expertise, helping clients move from manual infrastructure operations to automated, resilient and scalable cloud platforms. Key Responsibilities Client Advisory & Capability Building • Act as a trusted advisor to CIO, CTO and platform leadership teams on cloud platform transformation., • Lead architecture workshops and strategic engagements with senior stakeholders., • Translate business ambitions for data, AI and digital innovation into scalable cloud architectures., • Establish Cloud Engineering Centres of Excellence (CoE) within client organisations., • Define operating models, engineering practices and reusable platform components., • Support pre-sales activities including proposals, client pitches and solution shaping, bringing technical leadership into the sales cycle., • Identify and develop opportunities within client accounts to expand cloud and platform engagements. Cloud Platform Strategy & Architecture • Lead large-scale cloud modernisation programmes, transforming legacy infrastructure into automated cloud-native platforms., • Define enterprise cloud platform strategies supporting Data, AI and digital product develop, • Design target-state architectures enabling scalable, secure and automated infrastructure across cloud environments., • Define policy-as-code frameworks and automated governance models ensuring security, compliance and cost optimisation., • Embed resilience, observability and disaster recovery into enterprise platform design, • Ensure cloud environments align with Well-Architected Framework principles., • Design modular infrastructure frameworks and reusable blueprints enabling consistent and scalable deployments., • Identify technical debt and operational bottlenecks and design modernised infrastructure architectures to support long-term scalability., • Enable development, data and AI teams to deploy platforms and workloads independently at scale., • Lead the adoption of Infrastructure as Code (IaC) and platform engineering practices across client organisations. Internal Capability & Thought Leadership • Contribute to the development of Valcon’s Cloud and Platform Engineering capability, shaping propositions, standards and go-to-market offerings., • Mentor and support the development of engineering and architecture talent across the organisation., • Act as a leading voice within Valcon and externally, evangelising cloud as a business value driver through thought leadership, client engagement and industry presence. Skills & Experience • Strong consulting background with the ability to engage CIO/CTO-level stakeholders, lead architecture workshops and translate business strategy into scalable technology solutions., • Ability to translate strategic objectives into practical platform architectures., • Proven experience designing enterprise-scale cloud platforms that support data, AI and digital products., • Deep understanding of modern cloud architecture across AWS, Azure or Google Cloud., • Experience implementing Infrastructure as Code and automated platform provisioning using tools such as Terraform, Bicep or CloudFormation, enabling scalable and repeatable deployments., • Experience establishing platform engineering capabilities, cloud landing zones and reusable infrastructure blueprints that enable engineering teams to deploy applications and data platforms at scale., • Strong track record of leading large-scale cloud modernisation and platform transformation programmes, working with senior stakeholders to move organisations from legacy infrastructure to automated cloud-native platforms., • Experience contributing to pre-sales activities, including proposals, solution shaping and client presentations., • Experience combining delivery leadership with business development, contributing to revenue growth and client development.

!! IMMEDIATE JOINERS !! Software Engineer Location : Bournemouth / Scotland / London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Software Engineer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits]. #java #android #software #dotnet #c++ #c #immediatejoiner #softwaredevelop #developer

📱 Junior Android Developer | Building the Future of Mobile !! IMMEDIATE JOINERS !! Mobile Engineer (Junior Android Developer) Location : London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Junior Android Developer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits].

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Vysta PMG manages $200M+ in annual Google and YouTube ad spend across 150+ ecommerce brands. We're hiring a Data Scientist to own the measurement stack that proves what our spend is actually driving. Most ecommerce brands don't trust the ROAS their ad platforms report — and they're right not to. Last-click attribution overstates what paid is contributing, platform models double-count across channels, and the number on the dashboard rarely matches the number on the P&L. We're building the proof layer underneath all of it: geo-based incrementality testing, conversion lift studies, and Media Mix Models that reconcile Google with Meta, TikTok, and the rest of the funnel. What You'll Own • Design and run geo holdout incrementality tests across top-spending client accounts, • Stand up our MMM pipeline — white-labeled on Measured initially, then proprietary on Google Meridian for S-tier accounts spending $500K+/month, • Translate model output into client-facing proof of incremental impact, working alongside senior media buyers and account leads, • Partner with our engineering team on the data infrastructure that feeds the models (BigQuery, dbt), • Build the test design playbook that scales across 150+ accounts without requiring you in every conversation What We're Looking For • 4+ years running incrementality and/or MMM in production at an agency, brand, or measurement platform, • Strong Bayesian fundamentals — hands-on experience with Meridian, Robyn, PyMC, or a homegrown framework, • Strong Python, SQL, and BigQuery, • Working knowledge of the Google Ads and Meta ecosystems, • Ability to explain causal inference to a media buyer or client in plain English Why This Role Is Different Cross-account data from 150+ ecommerce brands is something no in-house team and no point-solution vendor can replicate. The frameworks you build get applied to $200M+ in active spend, and the work ships directly into client conversations — this is not a research role parked in a notebook. *

Job Title: Java Developer – Developer Experience Platform - Sheffield Job Description Join a collaborative engineering team building a modern Developer Experience platform that helps control owners and development teams manage and view their compliance with software development controls. You will work primarily with Kotlin to develop microservice-based web applications and APIs, contributing to several applications and proofs of concept within a cloud-native, agile environment. This role suits someone proactive, detail-oriented, and comfortable working across back-end services with a small element of simple UI development. Responsibilities Collaborate closely with developers, testers and colleagues across the wider organisation to build, enhance and run high-quality products. Design, develop and implement back-end features according to the product backlog and priorities, with a small amount of simple front-end work where required. Work on web applications that use a straightforward UI framework, focusing primarily on robust back-end and API development rather than complex front-end engineering. Contribute to the design and launch of new features in partnership with the rest of the engineering team, ensuring solutions are scalable, maintainable and secure. Build, maintain and optimise APIs and microservices that underpin the Developer Experience platform. Engage proactively with internal customers to understand their needs, resolve issues and respond to feature requests in a timely and professional manner. Operate within an agile CI/CD environment to deliver frequent, high-quality iterations at a sustained and predictable velocity. Participate actively in peer code reviews, providing constructive feedback and helping to maintain high coding standards. Create and maintain automated test scripts, and contribute to testing colleagues’ code to ensure reliability and quality. Use standard developer collaboration tools such as Git-based repositories and agile tracking platforms to manage work, documentation and collaboration effectively.Essential Skills Practical Experience in Java, or significant Experience in a comparable modern programming language with a strong willingness to learn Kotlin quickly. Proven Experience in at least two or three of the following areas: API development, SQL and relational databases, HTML, and JavaScript. Substantial hands-on Experience working with microservice architectures, including designing, building and maintaining microservices. Strong technical and analytical troubleshooting skills, with the ability to diagnose and resolve complex issues in distributed systems. Experience working in an agile environment, including the use of agile methodologies and collaboration practices. Experience using standard developer collaboration tools such as GitHub or Bitbucket for version control, and Jira and Confluence or similar tools for work tracking and documentation. Excellent attention to detail and strong writing skills, producing clear, maintainable and well-documented code. Proactive working style, taking initiative to move work forward and resolve blockers without waiting for direction. Strong English communication skills, both written and spoken, enabling effective collaboration with technical and non-technical stakeholders.Additional Skills & Qualifications Good working knowledge of cloud technologies such as AWS, Azure and Google Cloud Platform (GCP). Experience with Kubernetes for container orchestration in a microservices environment. Familiarity with Spring Boot or similar frameworks for building Java or Kotlin-based microservices. Experience working with CI/CD pipelines and modern DevOps practices. Comfort using issue tracking and documentation tools such as Jira and Confluence. Ability to work effectively with diverse teams across different locations and time zones. Strong interpersonal skills, with the ability to build positive working relationships and communicate clearly with stakeholders.Why Work Here? You will join a global organisation that supports complex, large-scale financial services for corporates, governments and institutions around the world. The business leverages an extensive international network to connect emerging and markets, offering exposure to innovative products and services across advisory, financing, prime services, research, securities services, trading and sales, and transaction banking. You will work in a modern, agile engineering culture that values collaboration, continuous improvement and technical excellence, with opportunities to contribute to impactful platforms and to develop your skills in cloud, microservices and contemporary development practices. Work Environment You will work within a modern engineering environment focused on developer Experience and software quality, building Kotlin-based web applications and APIs in a microservice architecture. The team uses agile methodologies and operates in a CI/CD setting, enabling frequent, incremental releases and rapid feedback. Day to day, you will use tools such as GitHub or Bitbucket for version control, Jira for work tracking and Confluence for documentation, collaborating closely with developers, testers and stakeholders across the organisation. The technology stack includes Kotlin, microservices, Kubernetes, APIs, SQL/databases, HTML, JavaScript, and cloud platforms such as AWS, Azure and GCP. The role is office-based in Sheffield with a professional environment that supports focused development work and cross-functional collaboration. Location Sheffield, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

Are you someone who gets genuine satisfaction from making sure every detail is right? Airship/Toggle has an exciting Customer Operations Executive opportunity! Location: Hybrid – Sheffield, S2 5QX (4 days in the office) Salary: £26,228 per annum Job Type: Full Time, Permanent Hours: 37.5 hours a week About Us: Airship/Toggle is a leading hospitality SaaS company on a mission to help our customers deliver exceptional guest experiences. Our platforms simplify operations, enhance communication, and unlock revenue growth for hospitality businesses across the UK. We pride ourselves on a culture of collaboration, innovation, and thoughtful excellence - where every team member takes ownership, makes an impact, and contributes to the success of our customers. We're also an AI-first team. We believe the best people are the ones who embrace new tools and actively look for smarter, faster ways to do great work - and we invest in making that possible. Customer Operations Executive - The Role: As a Customer Operations Executive (Print & Fulfilment) at Airship/Toggle, you’ll own the end-to-end delivery of our physical products - from creative handoff to client doorstep. You'll be the specialist point of contact for our hospitality clients, keeping orders, stock levels, and timelines on track. We're on a significant growth mission, so we need someone who is agile and ready to evolve with us. You don’t need to be a print and fulfillment expert yet - but you do need to be a logistics thinker who takes pride in the details, is comfortable managing timelines and chasing stakeholders, and ensures no task falls through the cracks. You should be tech-curious and willing to embrace AI tools to help us work smarter and faster. Customer Operations Executive - Key Responsibilities: • Manage day-to-day project tracking in Trello and coordinate order placement for venue stock and client events, • Serve as the main point of contact for print and fulfilment partners, troubleshooting issues and managing supplier relationships, • Own accurate project billing, coordinate monthly billing data chases, and track inventory levels and KPIs, • Quality assurance on all project details, catching errors before they become costly mistakes, • Help identify new business opportunities and support department targets by engaging with clients on soft sales and marketing Customer Operations Executive - You: • Logistically minded with a natural affinity for systems, spreadsheets, and understanding how things get from A to B, • Obsessively detail-oriented and a clear communicator with excellent spelling and grammar, • Tech-savvy and highly proficient in Excel or Google Sheets, with experience using project management tools like Trello, • A genuine problem solver who is adaptable and comfortable juggling multiple priorities in a fast-paced environment, • AI-curious and proactive, exploring new tools and finding ways to work smarter without waiting to be shown Benefits: • 33 Days Holiday (incl. bank holidays) - increases with length of service, • An extra day off for your birthday, • Buy and sell holidays, • Flexible hybrid working, • Vitality Health Insurance, • Company pension scheme, • Cycle to work scheme, • Electric car scheme - salary sacrifice, • 2 paid volunteering days, • Access to counselling and advice via our EAP, • Free fruit, cereal, yoghurts and refreshments in the office Ready to apply? If you’re ready to take ownership of a role where the details really matter, make a tangible impact for our clients, and bring an AI-first mindset to everything you do - we'd love to hear from you! We are committed to creating a diverse and inclusive environment and welcome applications from all backgrounds. The successful candidate will need to have the right to work in the UK. Please note that we are unable to provide sponsorship for this role

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As a Data Cloud Strategy and Operations Lead in EMEA, you will drive the execution and direction of the Data Cloud organization, which includes Data Analytics, cloud-native Databases, Looker, and Apigee. Develop and monitor advanced metrics, insights, and reporting frameworks that reflect the health

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