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Analytics Engineer London £65,000 to £70,000 This is a high impact Analytics Engineer role where you will help rebuild and shape a central data capability at a pivotal point. You will join a lean core team with strong executive backing, giving you real ownership over data models, transformation logic and analytics foundations that support multiple product areas across the business. The Company They are a well established, consumer focused digital business operating at scale, with a strong emphasis on data driven decision making. Data plays a central role in how products are built, measured and improved, and the organisation is continuing to invest in its modern data platform. With a collaborative culture and clear appetite to improve analytics maturity, this is an environment where hands on engineers can make a visible difference. The Role • Act as a core member of the central analytics function supporting multiple product verticals, • Design, build and maintain robust data models for analytics and reporting, • Develop transformations using dbt on a Snowflake data platform, • Work closely with data infrastructure, product and analytics stakeholders to deliver scalable data solutions, • Contribute to rebuilding core analytics capability following a period of underinvestment, • Take a practical, delivery focused approach with limited reliance on heavy stakeholder management Your Skills and Experience • Strong commercial experience using SQL for analytics and data transformation, • Proven capability in dimensional data modelling, with Kimball style approaches preferred, • Hands on experience with dbt for transformation and modelling, • Experience working with cloud data warehouses, ideally Snowflake, • Comfortable using Python or similar languages for data tasks and logical problem solving, • Able to work autonomously in a small team and take ownership of end to end analytics solutions

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a dedicated Imaging Applications Engineer on a permanent full-time capacity. Purpose of the Role: This role is focused on supporting our pharma clients’ clinical trial projects by implementing and deploying production-grade medical imaging data processing and analysis solutions within our proprietary IXICO data management platform. The job holder is experienced in the medical image domain and is responsible for executing the configuration of IXICO platform(s) in accordance with project requirement specifications, and for the design, development, validation and deployment of bespoke image analysis workflow features that are required for an allocated portfolio of projects. The job holder works hand-in-hand with Analysis Product, Image Analyst, Biomarker Science and Technology teams to ensure that requirement specifications are fully and clearly documented, implemented, and tested at project start-up, meeting project start-up timelines agreed with IXICO’s Project Managers. The role further supports Project Managers with defining and implementing features to fulfil workflow change requests arising during a clinical trial project. As part of the Technology team, the role holder is responsible for supporting internal users with data processing and analysis issue resolution and contributes to continuous process improvement. Essential Duties and Responsibilities: The duties and responsibilities listed below are representative, but not exhaustive of the role. There may be some variation and/or development of these duties and responsibilities without changing the general nature of the role: • Responsible for the configuration and deployments of clinical trials on the IXICO platform, including change controls and corrections to existing studies., • Receive handover of processing and analysis pipelines from Science and Technology and manage these to completion in operational deployments., • Design and develop, validate and deploy allocated image processing and analysis features and workflows to the IXICO platform., • Support Project Managers in defining solutions for projects within an allocated portfolio, creating clear and complete requirements specifications., • Provide second line support for processing and analysis pipelines, maintaining ticketing for IXICO platform support., • Work closely with Research, Technology and Development teams on best practices and process improvements., • Participate in Agile Scrum team and promote continuous improvement., • Create and maintain necessary documentation, compliant with IXICO procedures and quality framework. Qualifications and skills required for the role: Essential • Masters/Postgraduate degree from an accredited educational institution in a technical discipline e.g., Computer Science/Compute Vision/Medical Imaging., • Experience in at least one medical imaging modality (e.g. MRI, PET) and relevant image analysis., • Strong academic background., • Proven experience in programming using scripting languages (Bash/Python)., • Proven experience of Linux/Unix command line., • Understanding and working knowledge of Database concepts and technologies (RDBMS/SQL/PostgreSQL)., • Understanding of Object-Orientated development., • Excellent written and spoken communication skills across all levels of the business – fluent in the English language., • Strong organisational skills and great attention for detail., • Ability to prioritise effectively., • Strong team-player, who is acting in a professional and personable manner., • Highly motivated and driven to improve and develop processes. Desirable • Commercial or Academic experience in the neuroscience domain., • Knowledge of GCP, ISO13485, ISO27001 and/or other similar quality systems., • Understanding of Design Patterns., • Understanding of Agile concepts., • Knowledge of Git and DevOps., • Knowledge of Docker and Kubernetes. Benefits • Competitive remuneration package including benchmarked salaries., • Staff Annual Bonus Plans and Annual Salary Review., • Generous employer pension contribution of 6%., • 25 days annual leave, increasing up to 28 days with every year at IXICO., • BUPA private medical insurance scheme., • Life Assurance of 4x annual salary., • Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment., • Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties., • Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training., • Employee Assistance Programme offering advice and support on a wide range of topics., • Hybrid working model pattern split between working in the City of London and remotely., • Reimbursement allowance to purchase equipment to support working from home., • Generous employee referral scheme offering £2,000 for referring a successful candidate to the company., • Financial assistance for professional qualifications., • Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a dedicated Imaging Applications Engineer to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV and covering letter by email to or apply directly via LinkedIn. We are looking forward to your application. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have got any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact .

Job Title: AI Engineer (M&A & Transaction Analytics) Location: London (Hybrid – 2–3 days in office) Employment Type: Permanent Level: Senior / Lead (flexible depending on experience) Overview We are seeking an experienced AI Engineer with strong M&A, transaction, or corporate development experience to design, build, and deploy AI‑driven solutions across the deal lifecycle. This role sits at the intersection of advanced machine learning, data engineering, and strategic transactions, supporting high‑impact decisions during acquisitions, integrations, and divestments. You will work closely with investment teams, corporate development, finance, legal, and data teams to apply AI to due diligence, valuation, synergy modelling, risk analysis, and post‑merger integration. Key Responsibilities • Design, build, and deploy AI/ML models to support M&A activities, including:, • Due diligence automation (financial, commercial, operational, and legal), • Target screening and opportunity identification, • Risk detection and anomaly analysis, • Synergy modelling and value‑creation forecasting, • Develop LLM‑powered solutions for document analysis, contract review, data room interrogation, and summarisation., • Build scalable data pipelines and feature stores integrating structured and unstructured data (financials, contracts, operational data, market data)., • Partner with corporate development, M&A, and strategy teams to translate deal requirements into technical solutions., • Support post‑merger integration (PMI) through AI‑enabled insights, reporting, and performance tracking., • Deploy solutions into production using modern MLOps and cloud practices., • Ensure models are explainable, auditable, and aligned with governance and regulatory requirements in transaction contexts. AI / Technical • Strong experience building and deploying machine learning and AI solutions in production., • Hands‑on experience with:, • Python (PyTorch, TensorFlow, scikit‑learn), • Data engineering tools (SQL, Spark, Airflow or similar), • LLMs, NLP, and document intelligence (e.g. RAG, embeddings), • Experience with cloud platforms (AWS, Azure, or GCP)., • Direct experience supporting M&A, private equity, corporate development, or transaction advisory., • Proven understanding of:, • Due diligence processes, • Valuation drivers and financial statements, • Deal timelines and transaction workflows, • Background in investment banking, PE, consulting, or transaction services., • Experience applying AI to financial modelling, forecasting, or market intelligence., • Familiarity with regulatory, legal, or compliance data in M&A contexts., • Experience in post‑merger integration analytics., • Strong problem‑solver who can bridge technical depth and commercial thinking., • Comfortable working with senior stakeholders during high‑pressure deal environments., • Able to operate across ambiguous, fast‑moving transaction scenarios., • Competitive salary + bonus + benefits, • High‑impact role working on live transactions, • Exposure to senior leadership and strategic decision‑making, • Opportunity to shape and scale an AI capability within M&A, • Flexible working and a collaborative London‑based environment

Full Stack React Engineer -AdTech -London, Hybrid Scalers HQ is proud to be partnering with an innovative and fast-growing Media organisation in London. We are looking for a Full Stack JavaScript Engineer to join their collaborative tech team. You'll play a key role in delivering cutting-edge AdTech analytics solutions, reporting directly to the Head of Engineering. This is a fantastic opportunity to work in a high-impact environment alongside experienced engineers and product specialists, helping to shape the future of media technology. Key Responsibilities • Develop and maintain scalable, high-quality JavaScript (ReactJS/TypeScript) code, • Collaborate closely with engineering and product teams to deliver new features and tools, • Contribute to backend services using Node.js, • Work with systems such as Redux for efficient state management, • Ensure code quality through testing frameworks, • Build and deploy using AWS cloud infrastructure Skills & Experience Required • Strong commercial experience with ReactJS, • Solid understanding of Node.js, • Experience with Rest API's and GraphQL, • Familiarity with testing - A/B Testing/Web Testing/Web Performance, • Proficient with Playwright/Cypress/Jest If the above is of interest, please apply with an updated copy of your CV and a member of the Scalers team will be in touch.

Data Engineer – Azure or AWS with Databricks - London (Hybrid) - £75,000 + benefits We’re partnering with a high-performing organisation that continues to invest heavily in its data capability. Over the last 24 months, the business has achieved 33% growth in its data team, reinforcing data as a core driver of its long-term strategy. As part of this expansion, they’re hiring a Data Engineer to help design, build and optimise modern cloud data platforms. This role is open to engineers with experience in Azure or AWS, provided they bring strong hands-on expertise with Databricks. You’ll join a collaborative, forward-thinking environment where data engineering best practice, scalability and platform reliability are front and centre. What You’ll Be Doing • Designing and building end-to-end data pipelines using Databricks on Azure or AWS, • Developing modern lakehouse architectures using:, • Databricks (Spark, SQL, Delta Lake), • Azure Data Lake Storage or Amazon S3, • Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling, • Implementing Bronze / Silver / Gold data layers, • Embedding data quality, validation and monitoring within pipelines, • Supporting analytics and BI teams with trusted, well-structured datasets, • Contributing to CI/CD pipelines and version-controlled deployments, • Working closely with stakeholders in a consultative, delivery-focused environment What We’re Looking For • 5+ years’ experience in Data Engineering roles, • Strong experience working with Azure or AWS cloud platforms, • Commercial, hands-on experience using Databricks in production, • Proven capability across:, • PySpark / Python / SQL, • Cloud data storage (ADLS or S3), • ETL / ELT pipeline development, • Solid understanding of data architecture, modelling, and governance, • Experience building scalable, reliable pipelines in enterprise environments Nice to Have • Background in high-growth or scaling data teams, • Experience in financial services or large, global data estates, • Azure, AWS, or Databricks certifications, • Exposure to platform governance, lineage, or standardisation initiatives Why Apply? • Join a company that has delivered 33% growth in its data team, • Work on modern Databricks-led platforms, • Opportunity to influence architecture and engineering standards, • Clear progression within a growing, well-funded data function, • Hybrid working and a strong, collaborative engineering culture Interested? Apply now or get in touch to learn more about the role!

Location: London, Camden Reports to: Consulting Manager/ Project Lead Company Description Sub One is a boutique advisory firm specialising in Workday Financials. Our vision is to support our clients in moving from a backward-looking, month-end close process to real-time accounting, enabling finance teams to focus on delivering insights and analytics that drive business decisions. With extensive practical experience in data, accounting, and systems, the company aims to deliver successful finance transformations using the latest technologies. Looking to start your career in consulting, finance, and data? We are looking for a graduate or early-career data analyst or engineer who wants to develop into a consultant. You will start with a rigorous training and development plan and work alongside experienced consultants on real client projects. You will support finance system implementations and data-driven improvements across finance and reporting, combining analytical work with client interaction, problem-solving, and consulting delivery. What you’ll be doing · Analysing and validating data to support finance transformation and reporting projects · Building data-driven solutions using Excel, with exposure to SQL and Power BI · Supporting the implementation, testing, documentation, and data migration of finance and ERP systems · Preparing client-ready deliverables, including reports and presentations · Participating in client meetings and workshops, developing consulting and communication skills About you · A recent graduate in finance, accounting, data engineering or a related field · Comfortable working with data and keen to build practical, real-world experience · Strong Excel skills and an analytical, detail-oriented mindset · Exposure to SQL or Power BI is a plus, but not essential · Curious, motivated, and eager to learn in a consulting environment · A positive team player with strong communication skills with the ability to build professional rapport with clients What we offer · Competitive salary · Structured training, mentoring, and support from experienced consultants · Early responsibility with hands-on exposure to real client projects · A clear career path focused on continuous learning and development · Exposure to finance systems, data tools, and transformation projects · A collaborative, inclusive culture where your contribution is valued · Flexible working arrangements within a supportive, trust-based environment Right to work in the UK required (no visa sponsorship is available at this stage)

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities • Establishing new data integrations within the data foundation, • Conduct ETL activities as conducted by SMEs, • Configuring connections to other datasets within the data foundation, • Collaborate with SMEs to create, test and validate data models and outputs, • Set up monitoring and ensure data health for outputs What we are looking for • Proficiency in Python, with experience in Apache Spark and PySpark, • Previous experience with data analytics softwares, • Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? • Base salary of £50,000-£60,000, • £5000 a year professional development budget, • Wellness program, • 25 days annual leave, • Hybrid working arrangements Please note that successful candidates must be eligible for UK security clearance

Data Engineer (Palantir, AI & Advanced Analytics) London | Permanent | Hybrid Working Our client is a fast‑growing technology and AI consultancy that helps organisations solve complex data challenges across government and enterprise environments. The firm specialises in delivering Palantir‑led data platforms and decision‑intelligence solutions, supporting clients to unify fragmented data, build operational workflows, and enable informed decision‑making in mission‑critical settings. As a Data Engineer, you will work at the intersection of software engineering, analytics, and AI‑enabled consulting. This is a hands‑on role where you’ll design and build solutions using Palantir technologies, develop scalable data pipelines and workflows, and support advanced analytics and AI use cases deployed in real‑world operations. The team is growing across multiple levels, from Junior through to Senior Manager, offering clear pathways for both technical growth and leadership development. You’ll have the opportunity to: • Design and deliver data‑driven solutions to complex client challenges, • Build and maintain scalable data pipelines and ETL processes, • Engineer data workflows and decision‑support tools on Palantir platforms, • Work on applied AI and machine‑learning use cases, • Deliver Palantir implementation and advisory work across enterprise clients, • Combine software engineering expertise with strategic problem‑solving, • Work directly with clients across government, defence, health, and commercial sectors, • Share knowledge and contribute to capability development across the engineering community Your Responsibilities As a Data Engineer, you will: • Translate complex client problems into effective Palantir‑based data solutions, • Build, configure, and maintain data pipelines and operational workflows, • Integrate, transform, and structure data for analytics and AI consumption, • Apply strong software engineering practices to deliver reliable, maintainable solutions, • Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases, • Collaborate with colleagues on analytics, AI, and machine‑learning initiatives, • Mentor junior engineers and contribute to engineering best practice, • Build trusted client relationships and support long‑term transformation outcomes Key Requirements As a Data Engineer, you should have: • Strong experience with Python, SQL, and TypeScript, • Proven experience working with Palantir technologies (e.g. Foundry, Gotham) in delivery environments, • Solid understanding of data engineering concepts, ETL pipelines, and workflow design, • Experience delivering analytics‑driven or data‑intensive platforms, • Interest in AI, machine learning, and advanced analytics, • Excellent problem‑solving and communication skills, • Ability to work effectively in collaborative, client‑facing environments, • Active UK Government Security Clearance (SC) and the ability to operate on secure client engagements You will gain exposure with: Working as a Data Engineer, you will gain exposure to: • Advanced Palantir implementations across complex organisations, • Decision‑intelligence and operational analytics at enterprise scale, • AI‑enabled data solutions deployed in real‑world, regulated environments, • Client‑facing delivery on mission‑critical programmes, • Engineering‑led consulting and strategic problem‑solving You’ll operate in an environment that combines: • Hands‑on software and data engineering, • Palantir‑centred analytics and AI capability, • Consulting delivery with measurable real‑world impact Why Join? • Specialise in Palantir‑led data and decision‑intelligence delivery, • Work on high‑impact, mission‑critical programmes, • Build deep technical expertise alongside consulting capability, • Progress your career across technical and leadership tracks

Analytics Engineer Hybrid London £66,000 plus bonus and benefits, no sponsorship I'm looking for an Analytics Engineer to help shape and scale a modern data platform across an international business. You will work with large, complex datasets, building reliable data models and transformation layers that enable self service analytics and high quality reporting. In this role, you will design and optimise data workflows across Databricks and BigQuery, develop scalable datasets, and support BI tools such as Tableau and Looker Studio. You will collaborate closely with data engineering, analysts, and business stakeholders to improve data access, performance, and consistency across regions. You'll need to have strong SQL skills, experience in cloud data platforms, and a solid background in analytics engineering or data modelling. You should be comfortable working across the full data lifecycle and passionate about enabling teams to get value from data. This is a great opportunity to join a collaborative, international team working with modern tools, offering £66,000 plus bonus, strong benefits, and hybrid working in London.

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London. • Up to £85,000 DoE plus bonuses, • Active eDV required, • London Location – full-time on-site when required, • Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies Role Overview: This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS. Some responsibilities include: • Build data pipelines to ingest, process and transform data for analytics and reporting., • Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling., • Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes., • Design effective data solutions that meet complex business needs and support informed decision-making. Experience Required: • Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions., • Skilled in modern programming, particularly Python, Java, Scala and PySpark., • Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop., • Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please either click online or email directly to . For further information, please call 07719065951 or 0161 4166800. By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on LinkedIn by searching for their name. They look forward to hearing from you.

Senior Data Engineer - London London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) £70,000 to £80,000 depending on experience Ref: J13073 A fast growing AI SaaS business is looking for a Senior Data Engineer to own the pipelines that underpin its data platform. This is an opportunity to work with real world, complex data and turn it into reliable, decision ready datasets used across product, analytics and machine learning. Python and SQL are central to this role. The Opportunity • You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted., • You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales., • The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure., • You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works., • The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities • Design, build and maintain scalable data pipelines, • Own data pipelines from source through to production, • Work with complex and evolving datasets to create reliable outputs, • Improve data quality, performance and reliability as the platform grows, • Collaborate with product, analytics and machine learning teams, • Contribute to code reviews and engineering best practice, • Support and mentor other engineers What We Are Looking For • Strong Python and SQL experience within production environments, • Experience delivering data transformation projects end to end, • Experience with Spark, Snowflake, BigQuery or similar technologies, • Solid experience working with AWS, GCP or Azure, • Comfortable working with complex, imperfect datasets, • Experience owning solutions from design through to deployment, • A collaborative approach and willingness to support others If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK’s leading recruitment agencies in analytics and the host of Women in Data. For more information, visit ___

Job Title: Senior Systems Engineer (eDV Clearance required) Location: Hybrid In London Employment Type: Permanent Salary: Up to £98,000 + package Start Date: Immediate Industry: IT Services & Consulting We’re supporting a specialist consultancy delivering cutting-edge programmes across the UK Defence and National Security space. They’re looking for a Senior Systems Engineer to lead the delivery of complex, mission-critical systems across secure environments. This is a high-impact role where you’ll bridge strategy and engineering - shaping solutions that integrate cloud, data, and AI technologies into secure, safety-critical systems. Senior Systems Engineer – Key Responsibilities • Leading end-to-end systems engineering lifecycle (V-Model / CADMID), • Providing technical oversight across architecture, integration, and delivery, • Supporting the transition from legacy systems to cloud-native solutions, • Working closely with senior stakeholders across government and defence, • Driving engineering governance, assurance, and compliance, • Supporting integration of AI/ML and data-driven platforms in secure environments Senior Systems Engineer – Key Skills Required • Must hold live and active Enhanced DV clearance (DV considered), • Strong background in Systems Engineering within defence / secure environments, • Proven experience across the full V-Lifecycle (requirements → integration → delivery), • Experience working with cloud platforms (AWS, Azure, or GCP), • Knowledge of DevSecOps and modern delivery practices, • Familiarity with MODAF / TOGAF or similar architecture frameworks, • Strong understanding of Defence standards, ISO frameworks, and governance, • Experience engaging with senior stakeholders (MOD, DE&S, government bodies) Nice to have: • Experience with AI / Machine Learning systems, • Exposure to Big Data platforms and analytics environments, • Experience working across hybrid cloud architectures, • Background in Scaled Agile (SAFe) or hybrid delivery models Please note that all applicants must hold live and active UK eDV clearance given the secure nature of the organisation. In some cases DV clearance may be acceptable. Please apply now if this role is of interest.

Investment Data Engineer - 12month FTC Location: London (Hybrid working) Salary: £75,000 - £85,000 + benefits + Delivery Bonus We are supporting a PE‑backed financial services organisation with a sizeable balance sheet and a growing institutional investment platform. The business operates in regulated financial services, with a strong focus on long‑term asset management and capital efficiency. Backed by private equity, the organisation is in a build‑out phase of its central investment capabilities, investing heavily in data, analytics and automation to support portfolio oversight, risk management and decision‑making. The role sits within a central investment function based in London and works closely with senior stakeholders across investments, risk and finance. The Role The business is hiring an Investment Data Engineer (Senior Associate) into its central investment office. This role is responsible for building and maintaining the data structures, analytics and workflows that support investment monitoring, reporting and portfolio analysis. You will partner directly with investment professionals and risk stakeholders, translating business needs into robust technical solutions. You will work alongside a peer data developer, with shared ownership for the investment data stack and analytics toolkit. This is a genuinely hands‑on role with visibility to senior decision‑makers, suited to someone who wants their technical output to directly inform investment discussions. Key Responsibilities • Design and maintain data architecture for structured and unstructured investment data, • Define, source and automate data feeds including market data, portfolio data and reporting outputs, • Develop production‑quality Python analytics for portfolio analysis, monitoring and reporting, • Deliver automated reporting and insight via Power BI or comparable analytics tools, • Partner with investment, risk and finance teams to translate requirements into scalable data solutions Experience & Skills • 3–5 years’ experience in a data engineering, analytics engineering or investment data role, • Strong Python skills used in a disciplined, production environment, • Solid experience working with databases and data pipelines, • Exposure to modern data platforms such as Snowflake or Databricks, including use of AI tooling across structured and unstructured data, • Working knowledge of financial markets; fixed income or rates exposure beneficial but not essential If this role is of interest to you please apply below or reach out to for more information.

We are recruiting a Senior Data Engineer on a long-term contract basis for a Challenger Bank, responsible for designing, building and maintaining a scalable on-premise data warehouse using modern data engineering practices. This role sits in a non-cloud environment and requires strong ownership of infrastructure-focused data solutions, delivering robust end-to-end ETL/ELT pipelines and curated data models to support analytics and reporting. This position requires strong hands-on experience with Python, Apache Airflow and dbt as essential skills, as these will be central to building, orchestrating and transforming the bank’s data pipelines. You will use Python and SQL to develop ETL/ELT processes, Apache Airflow to design and manage workflow orchestration and scheduling, and dbt to build scalable transformation layers, data models and testing frameworks (including medallion architecture where applicable). Strong experience working in Unix/Linux environments is also key for scripting, deployment and operational support. In addition, you will work with advanced SQL (T-SQL/PL-SQL) and the Microsoft BI stack (SSIS, SSRS, SSAS), supporting data warehousing, reporting and analytics capabilities. The role also involves CI/CD practices, test automation, and exposure to containerisation tools such as Docker. You will collaborate with cross-functional teams to translate business requirements into technical solutions and deliver reliable data products and visualisations using tools such as Power BI, Tableau or Qlik. This is a long-term contract opportunity for a hands-on Data Engineer who is comfortable working in an on-premise banking environment, taking ownership of the full data lifecycle from ingestion through to analytics-ready datasets while operating within a regulated risk and compliance framework.

CRO Engineer / Specialist Travel Marketplace London - Remote £300-£400 per day - Outside IR35 This is a compelling contract opportunity to shape conversion performance within a fast-moving digital marketplace. You will play a hands-on role in driving measurable growth, working closely with product, analytics, and engineering teams on a high-impact optimisation programme. The Company They are a UK-based digital marketplace operating in the travel insurance space, focused on improving customer journeys and commercial performance through data-led decision making. The organisation operates at scale, with a strong emphasis on experimentation, continuous improvement, and customer-centric design. Their teams work remotely and collaboratively, with a mature approach to optimisation and testing. The Role and Deliverables • Lead and deliver a structured CRO programme across key customer journeys., • Design, build, and implement A/B and multivariate tests using industry-standard tools., • Translate insight from data, user behaviour, and research into test hypotheses., • Work closely with product, UX, analytics, and engineering stakeholders to deliver tests end to end., • Analyse test results, communicate impact clearly, and feed learnings back into the roadmap. Your Skills & Experience • Strong experience as a CRO Engineer or CRO Specialist within digital or e-commerce environments., • Proven capability in building and deploying experiments using common testing platforms., • Solid understanding of web technologies such as HTML, CSS, and JavaScript for test implementation., • Confidence working with data and analytics to inform decisions and measure outcomes., • Ability to operate autonomously in a remote, contract setting and deliver to defined objectives. How to Apply If you are a CRO contractor looking for a six-month remote project with clear impact and ownership, please apply to discuss further.

Senior Data Engineer London £65-85k + 15% bonus A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they’re building a data stack that scales with their ambition. They’re looking for a Data Engineer who’s excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build. What You’ll Do • Build and own data pipelines that connect product, analytics, and operations, • Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery, • Work with engineers and product teams to make data easily accessible and actionable, • Help evolve their data warehouse and ensure high data quality and reliability, • Experiment with automation, streaming data, and ML-ready datasets, • Influence technical decisions across the stack — they love new ideas What You Bring • Hands-on experience in Python and SQL, • Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.), • Knowledge of cloud platforms like AWS, GCP, or Azure, • An understanding of data modelling and ETL best practices, • Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It • Work on meaningful data challenges that directly impact their products, • Small, high-impact team with room to experiment and grow, • Hybrid setup with a central London HQ, • Competitive pay, generous (and achievable bonus), and genuine flexibility, • A team that actually cares about building great tech If you love solving tough data problems and want to help shape the data culture of a growing software company, they’d love to meet you.

Forward Deployed Engineer - Defence Start-Up - London Forward Deployed Engineer required for well backed, fast paced, early-stage defence start-up in London to build and deliver systems for customers that provide value from day one. You won’t just write code, you’ll work directly with users, influence product direction, and shape the culture of a fast-moving AI company from the earliest days. You are an exceptional, language agnostic engineer with strong communication skills who thrives in customer-facing environments. About you: • 4+ years of Software Development in Python, Go, TypeScript, Java, Rust or C++, • Comfortable working across the stack, • Exceptional communication skills, • Customer-obsessed: you enjoy being in the room, asking questions, and solving real-world problems, • Excel where speed and ownership matter, • In office by default You will: • Collaborate directly with customer stakeholders, from engineers to executives, • Build and maintain systems that power mission-critical workflows and enable fast, reliable onboarding, • Deliver accurate analytics and actionable insights to customers and internal teams, • Drive continuous platform improvements based on real customer feedback Why Join? • Opportunity to join something huge from the early days and have a real impact, • Massive ownership: influence product, culture, and technical architecture, • Direct access to customers, your work will hit production fast, • Competitive salary and meaningful equity in a rapidly growing company If you want to build real systems that deliver immediate impact, lets chat. Forward Deployed Engineer - Defence Start-Up - London

🐍 Python Engineer 📍 London (Hybrid) 💷 Up to £180,000 + Bonus + Full Benefits 🚀 The Opportunity Join a leading global hedge fund where technology sits at the core of trading strategy and performance. As a Python Engineer, you’ll work directly with Portfolio Managers, Quants, and Analysts to build high-performance tools and platforms that power real-time investment decisions and directly impact P&L. This is a hands-on, front-office role with immediate visibility and influence. 🔧 What You’ll Do • Design, build, and maintain Python-based trading and research infrastructure, • Develop bespoke analytics and visualisation tools in close partnership with investment teams, • Optimise data pipelines, automate complex workflows, and enhance system efficiency 🌟 Why This Role Stands Out 💼 Front-Office Exposure – Work side-by-side with PMs and Quants on live strategies ⚡ High Impact – Build systems that directly influence trading performance 🤝 Agile, Elite Team – Collaborative, low-ego, high-calibre environment 💰 Top-Tier Compensation – Strong base, performance-driven bonuses, and clear progression ✅ What You Bring 🎓 Degree in Computer Science, Engineering, Mathematics, or a related field 💻 Strong Python experience in high-performance or data-intensive environments 📊 Understanding of financial markets (equities, fixed income, or derivatives is a plus) 🧠 Excellent problem-solving skills with the ability to communicate across technical and non-technical teams If you’re a Python Developer looking to take on a front-office role with direct impact, we’d love to hear from you. Apply now or reach out to me directly:

Full-time in West London office 5 days a week, great salary and benefits package offered. The Data Engineer with Commodity Trading and Data Risk experience will focus on building, managing, and optimizing risk analytics workflows. You will play a key role in designing and evolving data pipelines, models, and tooling that support critical risk processes, while also contributing to the broader data platform leveraging Microsoft Fabric. Working closely with the platform team, you will help develop shared infrastructure, scalable ingestion frameworks, and high-quality data products. This role sits at the intersection of data engineering, risk technology and modern data platform practices within a global, always-on trading environment. Job Accountabilities: • Understand risk workflows end-to-end and translate them into reliable, production-grade data pipelines and products., • Build and maintain batch and near-real-time data ingestion pipelines from diverse sources including relational databases, REST APIs, FTP/SFTP feeds, and cloud storage., • Contribute to the data platform delivering harmonised, governed data products that serve multiple business functions., • Collaborate with risk, analytics, and engineering teams to productionize and maintain risk models and scripts., • Implement best practices for code quality, testing, and release management across the data platform., • Build and support Power BI semantic models and DirectLake datasets., • Manage and maintain Azure DevOps pipelines for deployment, version control, and CI/CD of risk-related scripts and data workflows., • Monitor system performance and troubleshoot issues related to data pipelines and deployments., • Ensure proper data governance, security, and compliance standards are applied. Required Skills & Experience: • Hands-on experience with Microsoft Fabric, Azure data services (e.g., Synapse Analytics, Data Factory), or Databricks for large-scale data processing., • Proficiency in Python / SQL for data engineering and scripting., • Familiarity with risk analytics environments or financial data., • Strong experience with Apache Spark (Spark Engine), including performance optimization and distributed data processing., • Strong experience ingesting data from diverse sources including relational databases, REST APIs, FTP/SFTP file feeds, and cloud storage., • Experience managing data pipelines and production workflows., • Experience with Azure DevOps (CI/CD pipelines, repos, release management)., • Experience with version control (Git) and software development lifecycle practices. Nice to Have: • Experience with streaming data technologies (e.g. Kafka, Azure Event Hubs)., • Exposure to metadata-driven framework design and config-driven pipeline development., • Knowledge of non-relational databases (e.g. MongoDB, Cosmos DB)., • Familiarity with Data Mesh principles and domain-oriented data ownership., • Experience with monitoring/logging tools in Azure. With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.

UI Engineer (React.js) - Global Markets Technology - Investment Bank Behind every trade, market move, and risk calculation, there’s a user interface that needs to perform flawlessly. This leading global investment bank is seeking a UI Engineer (React.js) to join its Global Markets Technology team in London (hybrid, 3 days in office), where you’ll design and build modern, responsive, and data-driven interfaces that turn complexity into clarity for trading, risk, and analytics platforms used worldwide. Responsibilities: • Design and develop high-quality UI components and applications using React.js, TypeScript, and modern JavaScript., • Collaborate with UX, product, and backend teams to deliver seamless, user-centric solutions., • Translate complex business and technical requirements into intuitive, scalable front-end code., • Implement responsive, cross-browser, and accessible UI designs., • Contribute to code reviews, testing, and engineering best practices., • Mentor junior engineers and help drive standards across the team. Skills & Experience: • Strong React.js, JavaScript/TypeScript, HTML5, and CSS3/SASS skills., • Experience building large-scale, enterprise-grade applications., • Knowledge of state management frameworks (Redux, Context API, etc.)., • Understanding of UI/UX principles and performance optimization., • Familiarity with testing frameworks and CI/CD pipelines., • Excellent problem-solving and collaboration skills. Nice to have: • Financial services or trading systems experience., • Exposure to Agile practices, cloud platforms, and container technologies., • Knowledge of data visualization libraries (e.g., D3.js, Highcharts).

Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting‑edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production‑grade GenAI and agentic systems on AWS, supporting organisations across multiple industries. Role Overview As an AI Engineer, you will design, develop and deploy production‑ready Generative AI solutions for enterprise clients. You will be involved across the full lifecycle of GenAI products—from proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks, you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost‑effective AI solutions on AWS. Key Responsibilities • Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models), • Build and deploy RAG systems using vector databases and semantic search, • Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar, • Create effective prompt engineering strategies with appropriate guardrails for production systems, • Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications, • Build and maintain CI/CD pipelines for testing, deployment and version control, • Work directly with client stakeholders to gather requirements, demonstrate solutions and iterate delivery, • Document architecture designs, decisions and best practices Required Skills & Experience • 1+ year hands‑on experience deploying GenAI / LLM applications into production, • Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS, • Strong Python development skills with modern AI/ML libraries, • Practical experience using at least one LLM API, • Solid understanding of prompt engineering, RAG architectures and vector databases, • Experience with LangChain, LangGraph, LlamaIndex or similar frameworks, • Familiarity with Git and CI/CD workflows, • Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 or above) Highly Desirable • Hands‑on experience building agentic AI systems with planning, tool use and multi‑step reasoning, • Experience fine‑tuning or adapting LLMs for domain‑specific use cases, • Familiarity with LLM evaluation frameworks (e.g. RAGAS, LangSmith), • Knowledge of LLM security, hallucination mitigation and responsible AI practices, • Master’s degree in AI, Machine Learning, Data Science or a related field

📈 KDB+/Q Developer 📍 London (Hybrid) 💷 Up to £250,000 + Bonus + Exceptional Benefits 🧑 💻 1+ Years’ Experience 🏢 Leading Trading Firm 🚀 The Opportunity Join a top-tier hedge fund building a next-generation research and analytics platform at scale. As a KDB+/Q Developer, you’ll engineer ultra-low latency systems that process vast volumes of real-time market data, directly powering sophisticated trading strategies across global markets. Working at the intersection of data and trading, you’ll collaborate closely with Quant Researchers, Portfolio Managers, and Traders to deliver mission-critical tools that drive the firm’s competitive edge. 🔧 What You’ll Do • Build and optimise high-performance KDB+/q systems for real-time data processing, • Design scalable infrastructure for large-scale market data and analytics, • Partner with quants and trading teams to deliver impactful, production-grade solutions 🌟 Why This Role Stands Out 🧱 Greenfield Build – Shape and develop new systems from the ground up ⚙️ Deep Technical Challenges – Solve complex problems in a high-performance environment 🧠 Elite Talent Density – Work alongside world-class engineers and quants 🗣️ Flat Structure – Direct influence over architecture, design, and technical direction ✅ What You Bring 🎓 Degree in Computer Science, Engineering, Mathematics, or a related STEM field 💻 Experience with KDB+/q (ideally in production or trading environments) 📡 Exposure to real-time data systems, time-series data, or electronic trading infrastructure Ready to build the systems that sit at the core of modern quantitative trading? Apply now or reach out directly for further information:

Lead Data Product Owner | Microsoft Fabric | Data Governance | Strategy | Hybrid 2 days per week into Central London | £95,000–£100,000 + bonus + benefits Method Resourcing are proud to be partnering with one of the UK’s most respected financial institutions, as they hire a senior data leader to own how data is safely put into the hands of the business. This is not a BAU data role. This is about setting the vision for data enablement across the organisation, owning the technology and governance around Microsoft Fabric Data, and ensuring data is used responsibly, securely, and with clear business value. The role: You’ll join the Technology & Transformation function and take ownership of the organisation's Data Labs as an internal data platform product. These labs went live recently and are already in use across the organisation, but now they need clear ownership, stronger governance, and a defined long‑term direction. You’ll work with senior stakeholders across finance, data science, AI engineering, and non‑technical teams to ensure data can be accessed and used safely, while meeting regulatory and risk expectations. You’ll line‑manage two data professionals supporting around multiple active data labs, while focusing primarily on strategy, standards, adoption, and future roadmap. You won’t be hands‑on day to day, but you will need a strong technical background to guide decisions and challenge where needed. Skills & experience we are looking for: • Previous hands‑on experience as a developer or data engineer., • Experience owning or leading data platforms, data products, or self‑service analytics capabilities., • Strong understanding of data governance, risk, and controls in regulated environments., • Confidence working with both technical and non‑technical stakeholders., • Line management experience, with the ability to build and grow teams., • Exposure to Microsoft data technologies, with Databricks experience highly desirable., • Practical exposure to AI and advanced analytics, with the ability to make informed recommendations. Benefits • 28 days holiday + BH's, • 17% employer pension contribution, • Private medical and dental cover, • Life assurance, • Critical illness cover, • Income protection plan, • Charity days, • Personal accident insurance, • Travel insurance, • Gym membership/retail discounts, • many more If you’re looking for a genuinely senior data leadership role where you’ll define strategy, own governance, and shape how a bank uses data for years to come, this is a standout opportunity. Please apply or contact for more information. Lead Data Product Owner | Microsoft Fabric | Data Governance | Strategy | Hybrid 2 days per week into Central London | £95,000–£100,000 + bonus + benefits

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

⚛️ React Engineer – Elite FinTech Firm 📍 London (Hybrid) 💸 Up to £180,000 + Bonus + Comprehensive Benefits 🚀 The Opportunity Join a world-class buy-side firm as a React Developer, building high-performance front-end systems that power sophisticated trading and pricing workflows. This is a rare opportunity to operate at the intersection of modern web engineering and quantitative finance — delivering scalable, low-latency applications that directly support real-time decision-making. You’ll collaborate closely with engineers, quants, and traders in a fast-paced, high-impact environment. 🔧 What You’ll Do • Design and build scalable, high-performance front-end applications using React, • Develop intuitive, data-rich UIs for trading, analytics, and pricing workflows, • Integrate seamlessly with backend systems and real-time data pipelines, • Partner with cross-functional teams to deliver robust, production-grade solutions 🌟 Why This Role Stands Out 🔧 Next-Gen Front Ends – Build cutting-edge UIs in a trading-focused environment 📊 Complex, Data-Heavy Systems – Work on high-performance, real-time applications 🧠 Elite Collaboration – Partner with top-tier engineers, quants, and traders 💼 Top-Tier Rewards – Strong compensation, bonuses, and a meritocratic culture ✅ What You Bring 🎓 Degree in Computer Science, Engineering, or a related STEM field 💻 1+ years of professional software development experience ⚛️ Strong expertise in React and modern front-end development 🔄 Familiarity with Agile workflows, Git, and CI/CD pipelines ➕ Bonus: Experience with Python or backend integration This isn’t just another front-end role — it’s a chance to shape the core technology driving one of the world’s most respected investment firms. Apply now or reach out directly:

Senior Software Engineer – Trading Platform (.NET, Python) London | Investment Banking | Hybrid Working Our top tier Investment Banking client is seeking a Senior Software Engineer to help design, build, and modernise a critical trading platform used across Equity Finance IT / Stock Loan group. This platform plays a key role in driving client behaviour through dynamic pricing and rate management, and you’ll be at the heart of its evolution into a scalable, cloud-native solution. What you’ll be doing: • Designing and developing high-performance backend services using C# .NET / .NET Core, • Building analytics and data processing components in Python, • Modelling and optimising large-scale trading datasets in SQL Server, • Developing low-latency APIs and web-based dashboards, • Contributing to the replatforming of a legacy system into a modern, containerised cloud architecture (Docker, Azure CI/CD), • Strong experience with C# .NET / .NET Core, • Proficiency in Python, • Experience with Angular or React, • Containerisation (e.g. Docker), • RESTful API development, • Git and modern CI/CD pipelines

Job description Role-Data Modeller Primary Skills-Snowflake, DBT,ETL,SQL Mode-5 Days from Basildon Type- FTE/Perm Strong SQL skills DBT model development Snowflake ETL pipelines Data transformation designData Warehousing Engineer DBTSnowflake Responsibilities Develop and maintain data warehousing solutions using DBT and Snowflake Build robust ETLELT pipelines to support analytics and reporting needs Ensure data quality integrity and security within the warehouse environment Optimise queries and data models for performance and cost efficiency Qualifications Handson experience with DBT Snowflake and SQLbased data warehousing Strong understanding of data warehousing principles and best practices Ability to work collaboratively with business and technical teams Skills Mandatory Skills : Snowflake Good to Have Skills : DBT

Software Engineer Tech Stack: C#, .NET, Python, AI Development, SQL, Azure London - Onsite Salary Range: £70,000 - £90,000 Harrington Starr has partnered with a boutique Investment Bank, with decades of experience and exceptional performance. They are currently seeking to hire a Polyglot Engineer possessing strong experience developing front office applications and systems, written in C# and Python. If you have a deep interest working with modern technologies, building reliable business applications this could be the role for you. Responsibilities: • Design and develop new front office application utilising C#, .NET, Python, • Working on internal systems to maintain quality and standards, • Utilising historical data for analytics, automation and strategic decision making, • Integration of modern technologies and use of AI, • Daily interaction to quickly solve any issues for front office Benefits: • The ability to convert essential business needs and support front office functions, • Excellent base salary up to £90,000 based on experience and domain knowledge, • Exceptional bonus and benefits (health and dental care, life insurance), • Working flexibility Key Requirements: • BSc Computer Science or related Mathematical degree, • Excellent knowledge and experience developing with C#, .NET, Python, • Good experience developing front office systems, interacting with various stakeholders, • Excellent communication, • Strong commercial development experience with AI technologies, • Un-restricted right to work in the UK If you would like to book in a confidential phone call to discuss this opportunity in further detail, please apply below or send through a copy of your up-to-date CV via email to

Hawksworth are hiring now for a ‘Solace Middleware Engineer’ for an Investment Bank based in London. This is a Contract vacancy for a six month assignment initially. Paying Inside IR35 £700per day to the umbrella company. Hybrid working, London location, x 3 days a week on site and x2 days from home per week. The role: You will join a Middleware & application platform support team that are dedicated to low-latency infrastructure supporting electronic trading systems across forex (FX) and Fixed Income (FI) markets. Core focus is ‘Solace Messaging Infrastructure’ (Primary focus), and then Trading Middleware Integration, Monitoring & Performance, Market Connectivity etc. As the Solace Middleware Engineer, you will be the key member of the team responsible for the support, management and evolution of the Solace messaging infrastructure that underpins the Banks electronic trading business across FX and Fixed Income markets. Essential Skills: • Expert-level knowledge of Solace PubSub+ platform (appliances and software brokers), • Deep understanding of Solace messaging patterns: direct messaging, guaranteed messaging, request-reply, publish-subscribe., • 10+ years’ experience in technical platforms or infrastructure support, • Strong Linux/ Unix administration with focus on network and messaging performance tuning., • Good Network Infrastructure understanding unlacing multicast routing, firewalls and low-latency network design., • Automation and scripting proficiency (Python, Shell scripting, SQL), • Database engineering knowledge of trade data persistence and analytics, • Application design and architecture understanding, particularly for distributed trading systems. Desirable skills: I look forward to hearing from you.

Industry 4.0 Manufacturing Engineer London (Liverpool Street) | Hybrid (3 days onsite) | £60,000–£70,000 + benefits A globally recognised FTSE-listed technology group is driving an ambitious digital transformation across its portfolio of advanced engineering and manufacturing businesses. Their products play a critical role in improving safety, environmental sustainability, and healthcare outcomes worldwide. As part of a central digital function, this role offers a unique opportunity to operate as an internal consultant, working across multiple operating companies to design and deliver cutting-edge Industry 4.0 solutions. This is not a traditional plant-based role. You’ll be shaping how modern manufacturing environments evolve, bringing together data, AI, robotics, and automation to drive measurable improvements in efficiency, quality, and uptime. What you’ll be doing • Leading pilots and projects in AI-assisted visual inspection, predictive maintenance, robotics, and automation., • Identifying opportunities to improve efficiency, quality, and performance at cell, line, or departmental level., • Designing and delivering data-driven solutions across MES, SCADA, IIoT, and digital manufacturing technologies., • Working alongside operational and engineering teams to translate real-world problems into actionable technical solutions., • Creating scalable frameworks and reference architectures for repeatable adoption across multiple sites., • Supporting the implementation and adoption of modern manufacturing technologies across global operating companies. What they’re looking for • 4–6 years’ experience in digital manufacturing, automation, or Industry 4.0 environments., • Exposure to PLCs, MES, SCADA, IIoT, robotics, AI, or computer vision in a manufacturing context., • Strong understanding of production processes, quality control, and visual inspection., • Ability to bridge engineering and digital/technical solutions., • Comfortable working across multiple sites and stakeholders., • Proactive, solutions-focused mindset with hands-on problem solving and innovation. Nice to have • Experience implementing predictive maintenance or monitoring legacy equipment., • Familiarity with data analytics dashboards and visualization tools. Why this role stands out • Operate across a portfolio of highly innovative engineering businesses rather than a single site., • Hands-on application of emerging tech to solve real operational challenges., • Real ownership: lead pilots, shape solutions, and influence global manufacturing strategy., • Exposure to a wide range of technologies and manufacturing environments., • Strong long-term career trajectory into senior digital or operational leadership roles., • Stability of a global FTSE-listed group, combined with the agility of smaller businesses. For further information: call 02895213213 or simply apply! Reference: AMC/RKI

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Location: Glasgow or UK Employment Type: Full Time, Hybrid or Remote (Depending on Location) Reference Number: TBH48 About Us IES is a global climate tech company delivering world‑leading, physics‑based software and solutions that empower designers, engineers, and operators to create and maintain energy‑efficient buildings. With over 30 years of innovation, we are recognised as a leader in integrated performance‑based analysis and home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services support the design, retrofit, and operation of more efficient, comfortable, and sustainable buildings. Our Research and Innovation team ensures our technology and industry expertise remain best‑in‑class and at the forefront of innovation. The Role We are seeking an experienced DevOps Engineer to join our growing Glasgow‑based team. Working closely with Product, Software Development, QA, and IT, you will support the design, implementation, and optimisation of CI/CD pipelines and DevOps platforms. This role is critical to enabling reliable, secure, and scalable software delivery across IES. You will maintain and improve DevOps tooling, manage build agents using GitOps practices, support cloud deployments (primarily in Azure), and promote DevOps culture and continuous improvement across the organisation. What You’ll Do • Maintain and administer DevOps tools, ensuring they remain up to date, reliable, and fully operational, • Design, implement, and optimise CI/CD pipelines using Azure Pipelines, • Build and manage build agents supporting build and release processes, following GitOps practices, • Develop automation solutions using appropriate scripting languages and tools to reduce manual effort, • Support cloud deployments and day‑to‑day cloud operations, primarily within Azure, • Produce and maintain documentation covering DevOps tools, build agents, CI/CD pipelines, and cloud operations, • Identify and recommend opportunities for continuous improvement within the DevOps function, • Promote DevOps culture, principles, and best practices across engineering and delivery teams, • Collaborate closely with cross‑functional stakeholders to support efficient and high‑quality software delivery Essential Skills & Experience • Degree in a relevant field or equivalent professional experience, • 3+ years’ experience in a DevOps or similar role, • Proven experience implementing CI/CD pipelines using Azure DevOps, • Experience maintaining and administering DevOps tools (e.g. Azure DevOps), • Strong proficiency with Git and source control practices, • Strong scripting and automation skills (e.g. PowerShell, Bash, YAML, Python), • Experience with configuration management tools (e.g. Ansible), • Hands‑on experience with cloud technologies, preferably Microsoft Azure, • Strong analytical and problem‑solving skills, • Ability to work both independently and collaboratively within cross‑functional teams Desirable • Experience working in Agile environments (e.g. Scrum), • Exposure to containerisation and virtualisation technologies (e.g. Docker, Kubernetes), • Experience supporting scalable, cloud‑based platforms and services, • Strong documentation and communication skills Why Join Us • Build and operate platforms that directly enable real‑world climate impact through energy‑efficient buildings., • Own and shape critical CI/CD pipelines and cloud infrastructure in a fast‑growing, mission‑driven climate tech company., • Work with modern DevOps tooling and cloud technologies, with real responsibility and influence over engineering outcomes., • Collaborate with highly skilled teams across Product, Software Engineering, QA, and IT in a culture that values DevOps excellence., • Flexible working, and the opportunity to grow your career while doing meaningful work. How to Apply Send a cover letter detailing your relevant skills and an up‑to‑date CV to . Please include the job title and reference number in your application. Early applications are encouraged as this vacancy may close once sufficient applications are received. Our Commitment to Inclusion IES is committed to an inclusive workplace and welcomes applications from all backgrounds, even if you don’t meet every requirement listed. We can provide reasonable adjustments throughout the recruitment process, for example, sharing interview questions in advance, allowing breaks between stages, or offering extra time where needed. If you require support at any point, please contact the IES HR team at or 0141 945 8500. Candidate information is handled in line with GDPR; please see our ___

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Data Engineer \n\nFully Remote \n\n£50,000 - £65,000 + Car Allowance - £5,200 + 5% Bonus \n\n6 Month initial FTC with view to extend \n\nBrief\n\nData Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team.\n\nThe successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows.\n\nFinally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting.\n\nBenefits\n\nSalary: £50,000 - £65,000 per annum\n25 day's holiday\nCompany car / Allowance\nVariable annual bonus based 5-15%\nPension Plan\nCareer Progression \n\nWhat the role entails:\n\nSome of the main duties of the Data Engineer will include:\n\nDevelop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise.\nDesign and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making.\nLead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives.\nDemonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes.\nEnsure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. \n\nWhat experience you need to be the successful Data Engineer:\n\nProficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration.\nStrong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows.\nExperience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines.\nDeep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards.\nData pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making.\nCode development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production.\nEffective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes.\nDeep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities.\nExperience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy.\nData-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. \n\nThis really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!\n\nServices advertised by Gold Group are those of an Agency and/or an Employment Business.\nWe will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

Rullion are looking for the following\n\nCCTV Network Engineers\nLocation London UK Central West\nASAP Start\n12 months\nInside IR35\n£350 Per day Umbrella rate. \n\nWe are seeking an experienced CCTV Engineer with strong technical skills in Synectics VMS, IP camera programming, and some experience of network fault finding. This role supports critical security infrastructure in Central West London, ensuring high system availability and exceptional performance.\n\nYou will be responsible for configuring, and maintaining CCTV systems on Synectics Synergy, as well as building robust, secure video networks.\n\nWe are keen to employ someone that can hit the ground running and support a fast changing environment .\n\nKey Responsibilities\n\nCCTV & VMS Responsibilities\n\nInstall, configure, and maintain Synectics Synergy VMS, including servers, workstations, and storage.\nProgram, configure, and commission IP cameras (fixed, PTZ, dome, thermal) including IP addressing, stream configuration, analytics setup, and firmware upgrades.\nPerform system diagnostics, resolve recording issues, and monitor overall system health. \n\nNetwork & Switch Configuration\n\nConfigure and maintain network switches (Cisco) including:\nVLAN maintenance\nPatching\nFault finding\nSupport fibre and copper CCTV network backbones across the site.Deployment & Commissioning\n\nLead onsite installation of cameras, switches and PSNs.\nEnsure all documentation is kept on the system changes and take regular backups.\nWork with Projects and Security teams to roll out system upgrades and expansions.Maintenance & Support\n\nConduct preventative maintenance checks across the system.\nMaintain accurate asset lists, network diagrams, and configuration files.Skills & Experience\n\nEssential\n\nStrong hands-on experience with Synectics VMS (Synergy).\nProven ability to program and configure IP CCTV cameras.\nSolid understanding of IP networking, especially within CCTV environments.\nExperience configuring network switches.\nAbility to troubleshoot software, hardware, and network issues independently.\nKnowledge of Windows Server environments.Desirable\n\nSynectics technical certifications. \n\nPersonal Attributes\n\nStrong communicator with the ability to work across technical and security teams.\nAnalytical thinker with excellent troubleshooting skills.\nHighly organised and detail‑driven.\nComfortable working on-site across Central West London locations.If available please send a copy of CV and a member of the team will be in touch\n\nRullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

Senior Spacecraft Software Engineer Glasgow, UK - Hybrid £85,000 - £100,000 Depending on experience & Qualifications We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. The Opportunity Our client owns and operates one of the world's largest multi-purpose satellite constellations, delivering advanced maritime, aviation, and weather tracking globally. Their infrastructure spans a proprietary satellite constellation, a global ground station network, and 24/7 operations providing real-time coverage of every point on Earth. This role sits at the intersection of satellite payloads, scientific computing, and data delivery systems. You will be responsible for developing and maintaining both the flight and ground software that powers GNSS-based satellite missions, working across system layers from embedded software through to mission data pipelines. It is a high-impact, high-autonomy position where technical breadth and ownership are essential. Key Responsibilities Flight & Payload Software • Develop and maintain scientific and command & control software for GNSS-based satellite payloads, • Work across embedded system layers to ensure accurate and timely scientific data output, • Engage with payload developers and mission operators to evolve software in support of scientific objectives Ground Systems & Data Delivery • Build and operate ground-based automation systems for data extraction, transformation, and delivery, • Collaborate with flight operations to troubleshoot and ensure consistent, high-quality data delivery, • Participate in code reviews, testing, and documentation to maintain software reliability and traceability What We're Looking For Our client is seeking a Senior Spacecraft Software Engineer with deep technical foundations in embedded systems and GNSS signal processing. You'll take strong ownership of your work and be comfortable operating independently across hardware and software boundaries. Core Requirements • Proficient in Embedded C/C++ for hardware development in constrained environments, • Solid background in DSP techniques and theory, particularly in the context of RF or GNSS signal processing, • Hands-on experience with GNSS signal processing algorithms and/or scientific applications such as GNSS-RO, GNSS-R, or PNT Desirable • Python proficiency and ability to pick up new tools and languages as needed, • Experience with cloud-based systems (e.g. AWS), backend development, and scalable data storage, • Prior experience working on satellite payloads or in the aerospace domain, • Experience building telemetry and data visualisation tools, • Contributions to open-source scientific or aerospace-related software projects Why This Role Stands Out • Work on a real, operational satellite constellation delivering mission-critical scientific data globally, • High autonomy from day one, design, build, and own your work end-to-end, • Join a technically exceptional team operating at the cutting edge of space and clean technology infrastructure, • Generous benefits including education assistance, stock purchase programme, fitness reimbursement, family leave, and more, • An opportunity to contribute to work that genuinely improves life on Earth Apply via Cleantech Talent This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes. This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions. Role Responsibilities • Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value., • Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services)., • Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services., • Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards., • Participate in client workshops, technical discussions, and solution shaping sessions., • Support pre-sales activities when required through technical input, solution design, and proof-of-concept development., • Develop reusable assets, patterns, and accelerators that strengthen Avanade’s AI and automation capabilities., • Stay current with emerging Microsoft AI technologies and contribute to internal AI & Data communities of practice. Required Skills and Experience • Hands-on experience delivering solutions using Microsoft Copilot Studio., • Microsoft certifications in AI, Power Platform, or Azure (desirable)., • Awareness of governance, security, and responsible AI considerations in enterprise environments., • Experience working in consulting or professional services organisations., • Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management., • Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse)., • Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure. Preferred Skills and Experience • Ability to clearly communicate technical concepts to both technical and non-technical stakeholders., • Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions., • Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions., • Experience designing and delivering AI-driven or automation solutions in a client-facing environment., • Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Access to global Data & AI communities, accelerators, and subject‑matter experts, • The chance to work on complex, high‑impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

Company Overview At ACL BMS we focus on creating safe, secure, and energy-efficient environments, supporting clients across healthcare, education, leisure, and commercial sectors. Our growth is driven by technical excellence, innovation in smart building integration, and a commitment to reducing energy consumption and carbon impact for our clients. The Role We are seeking a highly capable Senior BMS Engineer with strong technical expertise and a proactive, client-focused mindset. This role goes beyond traditional service delivery. You will be expected to: • Drive system optimisation and energy performance improvements, • Identify upgrade opportunities and lifecycle improvements, • Support integration of smart and connected building technologies You will operate as a senior technical representative of ACL in the field, delivering high-quality service while supporting junior engineers and contributing to continuous improvement across the business. Key Responsibilities Service, Maintenance & Fault Diagnosis • Attend client sites to diagnose and rectify BMS faults across controllers, networks, field devices, and plant interfaces • Carry out planned preventative maintenance in line with service schedules, • Modify and install control panels and BMS hardware where required Commissioning & Small Works • Deliver commissioning activities for upgrades, retrofits, and optimisation works, • Execute small projects and remedial works to specification, on time and within scope Energy & System Optimisation • Identify energy-saving opportunities through system performance analysis, • Optimise control strategies (e.g. plant sequencing, scheduling, setpoint strategy), • Provide clients with practical recommendations to reduce energy consumption and carbon footprint Client Engagement & Commercial Awareness • Conduct site surveys and produce clear technical reports and recommendations, • Identify and support quotation of additional works and upgrade opportunities, • Build strong client relationships, acting as a trusted technical advisor Technical Leadership • Provide mentoring and technical support to junior engineers and apprentices, • Support the Service Manager in improving delivery standards and consistency, • Contribute to the standardisation of engineering practices and documentation Compliance & Quality • Ensure all work complies with company quality standards and relevant regulations, • Maintain accurate service records and reporting About You You are a technically strong and commercially aware engineer who understands that modern BMS is not just about controls—but about data, efficiency, and system integration. You take ownership, solve problems proactively, and look for ways to improve both systems and service delivery. Essential Requirements • Minimum 5 years’ experience as a BMS/BEMS Service Engineer, • Strong knowledge of Trend controls (including legacy and IQ4 range), • Experience with Tridium (AX/N4) platforms, • Electrical qualifications (C&G Level 2 or higher or equivalent), • Strong diagnostic and fault-finding capability, • Good understanding of mechanical plant and HVAC systems, • Ability to work independently and manage workload effectively, • Full UK driving licence, • Strong communication and client-facing skills Desirable • Tridium N4 Certification, • Trend Expert (current or previous), • Experience with CAFM / cloud-based systems (e.g. simPRO), • Knowledge of system integration (e.g. HVAC, lighting, metering, IoT devices), • Exposure to energy monitoring and analytics platforms Career Progression This role is positioned as a development pathway into leadership. • Engineering Supervisor, • Technical Specialist, • Service Management roles What We Offer To attract and retain high-performing engineers, we provide a competitive and forward-thinking Our benefits package aligns with modern working lifestyles and financial well-being. As well as a competitive salary, you can look forward to: Core Package • Company Car with Fuel Card, • Annual Tool Allowance, • Mobile Phone, Tablet and Laptop Core Benefits • 25 Days Holiday + Bank Holidays, • Contributory Pension Scheme (enhanced contributions available), • Life Assurance, • Cycle to Work Scheme, • Employee Shares Scheme, • Salary Finance Options (including early access to earned pay), • Option to Buy Additional Holidays Health & Wellbeing • Virtual GP access for you and your household, • Financial well-being support via Salary Finance, • Access to health-related benefits, including dental and critical illness cover Flexible Benefits Platform Access to a flexible benefits platform allowing you to tailor your package, including: • Purchase of up to 5 additional holiday days, • Technology and lifestyle benefits, • Additional health and insurance options Discounts & Recognition • High street discounts via MiDeals, • Cycle-to-work scheme, • Employee recognition scheme with monthly rewards and annual prizes up to £10,000 Training & Development • Structured technical and professional development, • Access to a wide range of learning resources, • Clear progression pathways into leadership roles Equal Opportunities We are committed to creating a diverse and inclusive environment where everyone can thrive. We welcome applications from all backgrounds and will support any reasonable adjustments required during the recruitment process.

Analytics Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data and analytics engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are an Analytics Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £525 Per day (Outside IR35) Duration: 6-month contract Start: ASAP Contact: Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

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.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Purview Data Governance Consultant Our Data & AI team is made up of curious, client-focused professionals who help organisations build trusted, governed, high-quality data solutions. We’re looking for a Purview Data Governance Consultant with strong data governance and data management experience (including data quality and MDM) and hands-on technical skills from a data analyst or data engineer background, with an appreciation of broader cloud architecture and networking. If you’re passionate about helping organisations understand, trust, and govern their data—and you enjoy working at the intersection of governance, platforms, and delivery—we’d love to talk. Come join us As a member of Avanade’s Data & AI practice, you’ll work with clients to design, implement, and embed modern data governance capabilities across Microsoft Purview, cloud data platforms, and analytics ecosystems. You’ll play a hands-on role in helping organisations establish clear data ownership, classification, lineage, and policy enforcement — turning governance from theory into something that genuinely enables analytics and AI. This role is ideal for consultants who are both governance-minded and technically capable, able to work credibly with data engineers, platform teams, and business stakeholders alike. Together we do what matters. What you’ll do • Design and implement data governance solutions using Microsoft Purview Data Governance, including cataloguing, classification, lineage, and domain-based governance models, • Use governance to enable data value creation, discoverability, secure access, and responsible data use, • Work with clients to define data ownership, stewardship, policies, and operating models aligned to business and regulatory needs, • Configure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelines, • Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives, • Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement, • Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated wherever possible, • Translate governance concepts into clear, actionable guidance for both technical and non-technical stakeholders, • Help clients move from ad hoc or tool-led governance to sustainable, product-oriented, domain-aligned models, • Contribute to the development of Avanade accelerators, patterns, and thought leadership in data governance and trust Skills and experience • Proven experience as a Data Governance Consultant, Data Analyst, Data Engineer, or similar role within data or analytics programmes, • Hands-on experience with Microsoft Purview Data Governance, including cataloguing, classification, lineage, and policy concepts, • Experience working with or implementing Databricks Unity Catalog, • Strong understanding of modern data platforms and architectures, ideally within Microsoft and Databricks ecosystems, • Practical technical skills in SQL, Python, and data engineering / analytics tooling, enabling effective collaboration with delivery teams, • Experience in a consulting or client-facing environment, engaging stakeholders with differing priorities, • Ability to explain governance concepts clearly and pragmatically, focusing on enablement rather than control, • Experience with technologies such as Azure, Databricks, Microsoft Fabric, Power BI, and data integration tools is advantageous About you Characteristics that set you up for success in this role include: • Pragmatic and outcome-focused, with a desire to make data governance genuinely useful, • Comfortable working across governance, data engineering, and analytics communities, • Curious about how organisations use (and misuse) data, and how better governance can unlock value, • Confident working in uncertain or evolving data landscapes, • Collaborative, supportive, and able to influence without authority, • Keen to learn and stay current with emerging approaches to data trust, governance, and AI readiness Enjoy your career Some of the best things about working at Avanade: • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), • A minimum of 80 hours per year dedicated to learning, certifications, and professional development, • Access to global Data & AI communities, accelerators, and subject-matter experts, • The chance to work on complex, high-impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page

Senior Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £500-550 Per day (Outside IR35) Duration: 6-month contract Start: ASAP Contact: Overview We are looking for a Senior Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines