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Salary: up to £200k + bonus Summary Leading global quant firm is looking for a pragmatic data engineer with experience of ETL/ELT pipelines to join the Vendor Data Group. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player. You will be joining a very dynamic environment offering exposure to all aspects of the firm, as you collaborate with one of the trading teams to build and maintain mission-critical data integration pipelines and associated tools for alternative commodity and macro data. You'll develop scalable data architectures and enhance data processing while optimizing workflows. Here, technology is viewed as crucial to their continued success. The successful Senior Data Engineer will be passionate about data accuracy, and able to solve difficult technical problems in a real-time environment. Requirements • At least 3+ years' experience as a Data Engineer, • Proficient in Python development, Devops, and Linux environments, • Expert-level experience in data pipeline development, specifically ETL/ELT pipelines, • Commodities and Macro alternative/fundamental data experience Benefits • Competitive base salary & bonus, • Enormous opportunity to grow, learn and have a significant business impact, • Contributions are rewarded; career progression supported, • Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you'd like to know more, please get in touch: Andy Stirling-Martin 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now seeking a skilled senior data engineer to support the Intraday Short-Term Power business within the Data Science & Technology team in London. This team is pivotal in giving the firm a competitive edge, and this high-impact role focuses on engineering the availability, quality and performance of real-time data feeds that drive execution strategies, analytics and decision-making. You'll integrate & manage feeds from multiple sources, including fundamental market data, grid operations, weather providers and internal trading systems. This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts. Requirements • 5 -10 years as a data engineer, ideally in Intraday Short-Term Power trading (or similar real-time energy market environments), • Experience with energy commodity time-series datasets is a must-have, • Understanding of systematic trading workflows (signal generation, back-testing, model validation), • Demonstrable ability to work in a high-frequency, intraday trading environment with tight feedback loops, • ETL/ELT frameworks experience writing pipelines to load millions/billions of records, • Advanced skills in writing highly optimized SQL code & relational databases, • Exposure to AWS & Snowflake technologies, • Competitive base salaries + bonuses, • Generous benefits program, including, • parental and family leave policies, • comprehensive insurance (medical, dental, retirement, life), • charity volunteering allowance + charitable contribution match program, • tuition assistance & reimbursement + continued learning opportunities Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, drop me an email or give me a call: Jack Peck [e] [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

The Company Globe 24-7, in partnership with a leading mining company, is seeking a Mining Analyst Manager to join their team in London. The role is primarily remote, with 1-2 days per week together in the office (in London). The Responsibilities As an Analyst, you will be expected to: (i) Perform market analysis and contribute to consulting engagements: • Ensuring the delivery of high-quality, actionable advice that meets client needs., • Lead the build-out and ongoing management of market analysis and forecasts across a portfolio of strategic and critical minerals, covering supply, demand, and price dynamics., • Serve as a key client contact on consulting projects, building trusted advisor relationships and presenting key findings to senior stakeholders., • Become a global expert in a portfolio of mineral commodities, developing and maintaining deep analytical insights into the markets, always using a data-driven approach., • Perform rigorous first-principles analysis on opaque mineral markets, developing robust datasets and forecast models., • Introduce advanced research methods, new data sources, and analytical tools to continuously improve the quality and impact of our work., • Contribute ideas on new research products and areas of coverage to help direct the company's future growth. The Requirements The Ideal Candidate Profile Interested in mining/metals/critical minerals: you are curious about the minerals sector (exploration, mining, processing, refining, supply chains, downstream demand) and all its associated aspects (e.g. geology, engineering, economics, trade, geopolitics, etc). Independent: You are a self-starter who thrives in a setting that offers a high degree of autonomy and the flexibility to work remotely. An innovator: You are driven to find better ways to analyse markets and are excited by the chance to build new analytical approaches from the ground up. A clear communicator: You can explain complex market dynamics with clarity and confidence, both in writing and in presentations. 7. Qualifications & Experience Experience: Some (e.g. 1-5 years) relevant experience in commodity market analysis is useful but not essential. We are more interested in you being enthusiastic about learning the industry and developing/ applying analytical capabilities. Analytical skills: Demonstrable competence in performing quantitative and qualitative research on complex and/or ambiguous data, using a variety of tools and software. Data Science and Software skills: Experience working with data, e.g. performing ETL, modelling, cleaning, visualising, analysing. Writing scripts/software/apps to perform tasks or analyse/visualise results. Commodity exposure: Direct experience analysing multiple commodities within the battery materials, strategic metals, or industrial minerals sectors is useful but not essential. Education: A degree in a relevant STEM discipline such as Geology, Engineering, Science, Maths, Economics. Language: Fluent in written and spoken English. The Rewards The position offers a competitive remuneration package. Contact Us Please apply directly by submitting your resume, preferably as a Microsoft Word document.

ERS Forensic, Analytics Manager (108689) KPMG overview KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. Summary of role purpose Investigations and Compliance (I&C) is part of KPMG’s Forensic practice. We help clients with their biggest and most challenging misconduct and integrity matters. Our work helps clients respond to regulatory enquiries, reduce reputational risk and prevent or reduce commercial loss by helping them to investigate and mitigate risks including fraud and misconduct, bribery and corruption, financial crime and much more. As a result of an exciting and increasing pipeline of fraud analytics work, we are looking for a Manager to help coordinate the strategic direction of a team deploying analytics (including fraud analytics routines and GenAI capabilities) over large complex financial and other datasets, both structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both structured and unstructured data analytics techniques, coupled with strong leadership and communication skills. The successful candidate will be responsible for developing and implementing innovative analytical solutions leveraging a wide range of techniques, including through the use of SQL, Python, cloud computing and Generative AI (GenAI). You should expect to work on a variety of project-based work over a cross section of forensic work types, industries and geographies. Day to day activities will vary depending on the type and circumstances of each project. As a Manager, you will be expected to: • Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured, • Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required, • Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients, • Oversee and train junior colleagues, • Participate in business development activities including marketing, knowledge sharing and practice development You will be based in KPMG’s CSQ office working under KPMG’s hybrid working model of both home and office working. You will need to display a flexible attitude to working and be prepared to travel/work at other locations within the UK and internationally. The Person Essential: • Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment, • Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed, • Has experience in translating non-technical business requirements into analytical solutions, • Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems, • Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques, • Works independently, resolving complex issues with little or no supervision or direction, • Has experience of managing a junior team to achieve the required objectives Skills we’d love to see/Amazing Extras: • Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern, • Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis., • Has experience of using data visualisation tools such as PowerBI, • Has experience with general ledger / ERP data as a prerequisite, with an experience of larger ERP systems such as SAP / Oracle a plus, • Has familiarity with Graph Analytics and tools/libraries such as Neo4j and NetworkX To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to Forensic talent across the country but our core hubs for this role are: • Birmingham, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Consulting we have a range of divisions and specialisms. Click the links to find out more below:

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

PURPOSE As part of its 2026-2030 Exploration Strategy, Endeavour Mining is strengthening its enterprise management of exploration and geoscience data to accelerate discovery, improve decision quality, and enable advanced analytics and AI. As part of this journey, EDV is recruiting a Geoscience Data & Automation Engineer plays a critical role in industrializing exploration data flows across all sites. The position is accountable for designing and maintaining automated systems, data transformation, and quality control pipelines for drilling, logging, sampling, assay, survey, and geospatial datasets. The objective is to eliminate manual uploads, spreadsheet dependency, and fragmented QA/QC processes, while ensuring that exploration data is structured, historised, reliable, and analytics ready. The role contributes directly to AI-readiness by enabling clean, standardized, and scalable exploration datasets to be consumed by geological modelling, analytics, and machine learning initiatives. KEY ACCOUNTABILITIES Exploration Data Ingestion & Automation • Design, build, and maintain end-to-end automated data exchanges for exploration systems, including:, • Drilling and logging systems (e.g., LogChief, IMDEX), Assay laboratory datasets (CSV, XML, API based feeds), • BoxScan imaging datasetsAnalytics & AI Readiness, • Survey and geospatial datasets Central Geoscience Data Management Systems (GDMS) • Ensure secure, scalable, and reliable data flows from field systems to the enterprise data platform, • Reduce manual handling and eliminate duplicate or inconsistent data uploads. Data Transformation & Historisation • Implement transformation logic to standardise, harmonise, and historise exploration datasets., • Ensure data models support longitudinal analysis, geological interpretation, and AI-driven use cases., • Maintain clear separation between raw, curated, and analytics-ready datasets. Data Quality & QA/QC Automation • Design and implement automated QA/QC checks across exploration datasets, including:, • Drillhole validation rules, Assay consistency checks, Referential integrity controls, • Schema validation and completeness checks, • Monitor data quality metrics and collaborate with site geologists and QA/QC managers to resolve data issues., • Ensure datasets are certified before use in resource modelling or advanced analytics. Systems Integration & Architecture • Collaborate with Enterprise Architecture and Data Platform teams to:, • Integrate exploration systems with the central data platform, • Ensure metadata, lineage, and documentation standards are respected, • Design scalable and resilient data pipelines, implement monitoring, logging, and incident resolution mechanisms, Support hybrid architectures where required (site systems + cloud platform) Data Capture, Validation & Quality Assurance • Design and supervise data capture workflows from field to system: site geologists, samplers, contractors., • Implement automated QA/QC processes to ensure data accuracy, completeness, and consistency. Coordinate with: Regional Exploration QA/QC Managers, Site Data Stewards / Field Geologists, GIS Geologists, to ensure data is validated at each stage before use in interpretation or modelling. Collaboration & Stakeholder Enablement • Work closely with:, • Site geologists and data stewards, • Regional Exploration QA/QC Managers, • GIS geologists, • Data Scientists and Data Engineers SKILLS, KNOWLEDGE & EXPERIENCE Education: • Master’s degree in computer science, Data Engineering, Information Systems,, • or a related technical field. Exposure to geoscience or mining domain is highly desirable. Exploration Data & Domain Knowledge • Strong understanding of exploration data workflows, including drilling, logging, assays, and survey data., • Familiarity with drillhole data structures and QA/QC processes., • Exposure to exploration systems such as GDMS, LogChief, IMDEX, BoxScan, or similar platforms. Data Engineering & Automation • Proven experience designing and maintaining ETL/ELT pipelines., • Strong scripting capabilities (Python preferred)., • Experience handling heterogeneous data formats (CSV, XML, JSON, APIs)., • Experience implementing batch and incremental ingestion patterns, • Understanding of data transformation, standardisation, and historisation techniques. Data Quality & Governance • Experience implementing validation rules and automated data quality frameworks., • Understanding referential integrity and structured data models., • Familiarity with metadata management and data lineage principles., • Ability to balance governance controls with operational usability. Cloud & Platform Experience • Experience with enterprise data platforms (cloud preferred), • Understanding of orchestration tools and pipeline monitoring, • Familiarity with security, access control, and secure data transfer protocols (SFTP, APIs, token based authentication) Personal Competencies • Strong analytical and problem-solving mindset., • Structured, detail-oriented, and quality-driven., • Ability to work across IT and Exploration stakeholders., • Capable of managing multiple priorities in a transformation environment., • Proactive and solution-oriented, with a strong ownership mindset. TYPE OF CONTRAT: LONG TERM

Synapri are looking for a Data Engineer to join a large logistics organisation undergoing a major data transformation programme. The role will focus on building and improving data platforms within AWS, working across large-scale datasets and modern cloud infrastructure. 💰 Salary up to £85,000 📍 London – 1 day per week onsite ☁️ AWS | Data Engineering | ETL | Data Platforms Key skills needed: • Strong AWS experience, • Python and SQL, • ETL / ELT pipeline development, • Data warehousing and cloud data platforms, • Experience with modern data engineering best practices This is a good opportunity for someone who enjoys building scalable data solutions in a business where data is central to operations. If this role interests you, Apply now!

Role: Contract Business Analyst Project: Trading Data Platform (Data Lake & Data Warehouse) Industry: Energy & commodities trading Location: London (hybrid 3 days per week) Rate: £700–800/d (inside IR35) Contract: 6 months initial (multiyear scope) X4 Technology are partnered with a leading global energy trading firm offering the opportunity for a contract Business Analyst to support a major data transformation programme. This role sits within a strategic data platform initiative focused on the design and build of a cloud-based data lake and enterprise data warehouse, creating a scalable, governed single source of truth for trading, risk and commercial data across the organisation. The successful Business Analyst will work closely with business and technology stakeholders to shape data models, map complex trading data flows and support the development of both data lake and data warehouse layers Requirements for the Contract Business Analyst (Trading Data Platform): • Proven BA background within commodities trading environments, • Strong data warehouse and data lake development project experience, • Experience supporting large-scale data or digital transformation programmes, • Understanding of data architecture, data modelling, ETL/ELT processes and data pipelines, • Excellent stakeholder management and communication skills This is a 6 month initial contract but with multiyear scope, offering a day rate of £700–800/d inside IR35. Interviews are being lined up shortly. If you're an experienced Business Analyst with a strong background in commodities trading and data platform delivery, please apply online now for immediate consideration.

A leading pension fund management business is seeking an experienced Data Architect to support the evolution of its enterprise data capability and technology landscape. Key Responsibilities • Design and maintain enterprise-wide data architecture and data models, • Lead data integration and transformation initiatives across investment, finance, and operations platforms, • Develop data governance, quality, and security standards, • Support cloud-based data platform and analytics initiatives, • Ensure compliance with regulatory and reporting requirements, • Partner with business and technology stakeholders to define data strategy and roadmap, • Proven experience as a Data Architect within financial services, pensions, insurance, or asset management, • Strong understanding of data warehousing, ETL pipelines, and enterprise data architecture, • Experience with cloud technologies and modern data platforms, • Knowledge of data governance, master data management, and data security principles, • Ability to communicate complex technical concepts to senior stakeholders, • Opportunity to shape strategic data transformation initiatives, • Collaborative and forward-thinking environment, • Competitive salary and benefits package

Experience in programming languages like Python, Java, SQL Knowledge in AI development tools or frameworks Knowledge of data processing, ETL patterns, or analytics pipelines 4-6 years of relevant experience in ETL, low-code-no code platforms, BI solutions, data-wrangling fields with interest towards light weight programming (e.g. software programming in JAVA, Python, etc..) Knowledge or prior experience with any of data analytics / visualization / automation tools Familiarity with Financial Reporting processes Confident in working with Jira, Confluence, ServiceNow

£Up to £175,000 GBP Competitive Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Data Engineer - Commodities & Energy Trading London | Permanent | Hybrid Working Our client is a global commodities and energy trading organisation operating an asset-light, highly diversified business model. The firm combines advanced analytics, proprietary technology, and robust risk management to support trading, optimisation, and risk-management decisions across energy and commodities markets. As a Senior Data Engineer, you will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders, and technology teams. You'll have the opportunity to: • Build and maintain scalable data pipelines supporting trading and analytics use cases, • Ingest structured and unstructured data from diverse internal and external sources, • Support predictive analytics, systematic trading, and machine-learning workloads, • Partner closely with Data Scientists and Trading teams to deliver high-quality datasets, • Contribute to cloud-native data platforms using modern engineering practices, • Drive improvements in data quality, performance, and self-service capabilitiesYour Responsibilities As a Senior Data Engineer, you will: • Design and implement data ingestion pipelines using ETL, streaming, scraping, and batch approaches, • Clean, enrich, and transform datasets for analytical and operational consumption, • Persist data across databases, warehouses, and data lakes, • Distribute data internally via APIs, Python packages, and direct querying, • Maintain and enhance production data pipelines and databases, • Support post-processing automation, including analytics, models, and visualisation workflows, • Enable Data Scientists through shared libraries, cloud resources, and documented data access, • Maintain knowledge bases covering data sources, pipelines, and usageKey Requirements As a Senior Data Engineer, you should have: • Strong engineering background in Data Engineering, Computer Science, or similar, • Experience working in commodities, energy trading, or financial markets environments, • Advanced Python skills, including extensive use of Pandas, • Experience with analytical or time-series databases (e.g. Redshift, ClickHouse), • Hands-on experience with Docker and containerised workloads, • Experience with Git and modern DevOps practices, • Practical experience deploying infrastructure on AWS using IaC (e.g. CDK, CloudFormation), • A proactive, ownership-driven mindset with strong problem-solving skillsYou will gain exposure with: Working as a Senior Data Engineer, you will gain exposure to: • Direct collaboration with Traders and quantitative teams, • Cloud-native data platforms supporting real-time and batch processing, • Big-data and distributed processing tools, • AWS services such as S3, Lambda, Athena, EMR, Kinesis, and EC2, • Advanced analytics, visualisation, and data-science workflows, • Emerging technologies across AI and machine learningWhy Join?, • Work on data platforms that directly support trading and optimisation decisions, • Own data engineering solutions end-to-end in a high-impact environment, • Operate in a technically deep, collaborative engineering culture, • Competitive compensation with performance-linked bonus, • Hybrid working model supporting flexibility and collaborationInterested? Apply now.

Data Platform Engineer Hybrid (3 days in the office, 2 days WFH) London McCabe & Barton are partnering with a leading financial services client to recruit an experienced Interim Data Platform Engineer for a 6 month contract opportunity for an Investment House . This is an excellent opportunity to join a forward-thinking team driving innovation with modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You’ll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance • Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services., • Build ETL/ELT processes to transform raw data into structured, analytics-ready formats., • Architect and deploy scalable data lake solutions using Azure Data Lake Storage., • Implement governance and security measures across the platform., • Develop and optimise data jobs using PySpark or Scala within Databricks., • Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake for reliable data transactions., • Implement monitoring solutions using Azure Monitor, Log Analytics, and Databricks tools., • Partner with data scientists, analysts, and business stakeholders to deliver effective solutions., • 5+ years of experience with Azure services (Azure Data Factory, ADLS, Azure SQL Database, Synapse Analytics)., • Strong hands-on expertise in Databricks, Delta Lake, and cluster management., • Proficiency in SQL and Python for pipeline development., • Familiarity with Git/GitHub and CI/CD practices., • Experience with Terraform or other Infrastructure-as-Code tools., • Familiarity with Azure DevOps or similar CI/CD platforms., • Experience with data quality frameworks and testing., • Azure Data Engineer or Databricks certifications. Please apply with an updated CV if you align to the key skills required!

About the Role: We are looking for a highly skilled Data Architect with strong expertise in Azure Data Services, Microsoft Fabric, and Data & BI solutions to design, implement, and optimize modern enterprise data platforms. The ideal candidate will have deep experience in building scalable data architectures, enabling advanced analytics, and driving cloud-based data transformation initiatives. Key Responsibilities • Design and implement enterprise-scale data architecture solutions on Microsoft Azure and Microsoft Fabric., • Build scalable and secure data platforms supporting Data Engineering, Data Warehousing, Reporting, and Analytics., • Define data models, data integration strategies, governance frameworks, and best practices., • Lead the design and implementation of modern BI and analytics solutions using Power BI and Microsoft Fabric., • Develop and optimize ETL/ELT pipelines using Azure Data Factory, Fabric Dataflows, Synapse, and related Azure services., • Collaborate with business stakeholders, architects, and engineering teams to translate business requirements into technical solutions., • Ensure data quality, security, scalability, performance optimization, and compliance standards across the platform., • Drive cloud modernization and migration initiatives from legacy/on-premise systems to Azure-based ecosystems., • Provide technical leadership, mentoring, and architectural guidance to Data Engineering and BI teams., • Support advanced analytics, AI/ML readiness, and real-time reporting initiatives. Required Skills & Qualifications: • Strong experience as a Data Architect within enterprise Data & BI environments., • Strong hands-on experience in Microsoft Azure Data Services, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Power BI, Azure Data Lake, SQL Server/Azure SQL, along with expertise in designing and implementing Data Warehousing, Lakehouse, ETL/ELT, and cloud-native data architectures., • Strong understanding of Data Engineering, Analytics, Reporting, and BI frameworks., • Experience working with structured and unstructured data sources., • Strong knowledge of data governance, security, scalability, and performance optimization., • Ability to drive architecture discussions and provide strategic technical recommendations., • Strong stakeholder management and consulting skills.

SAP Data Migration Senior Manager We are seeking experienced professionals with deep expertise in SAP data migration and governance to support large-scale SAP transformation programmes across complex enterprise landscapes. This is a high-impact role requiring strong client delivery capabilities, leadership in complex data workstreams, and contribution to business development initiatives. The successful candidate will be able to: • Define and lead end-to-end SAP data migration strategies for S/4HANA transformations, covering data governance, migration, conversion, and integration across complex, multi-system landscapes., • Lead data migration activities across core SAP solutions including SAP S/4HANA (Public Cloud), SAP MDG, SuccessFactors, Payroll, and Extended Warehouse Management (EWM), ensuring alignment across interconnected business processes., • Drive data-led transformations by designing scalable, automated, and secure data migration solutions that accelerate S/4HANA adoption (including Public Cloud) and broader enterprise modernisation., • Lead data assessment, cleansing, harmonisation, and enrichment initiatives, ensuring high-quality, trusted data aligned to business objectives and global standards., • Establish and implement robust data governance frameworks, including data ownership, stewardship, data quality controls, and security principles, leveraging SAP MDG where applicable., • Design and execute data migration solutions using SAP Migration Cockpit, SAP Data Services, and other ETL/integration tools, ensuring scalability and repeatability across multi-wave programmes., • Lead complex data conversion activities across SAP systems, including HR (SuccessFactors & Payroll), Supply Chain (EWM), and Master Data governance platforms (MDG)., • Drive cutover planning and execution from a data perspective, ensuring predictable outcomes through disciplined planning, reconciliation, and alignment with business timelines., • Define and oversee reconciliation, validation, and audit processes to ensure data completeness, accuracy, and integrity across all systems in scope., • Facilitate data design and migration workshops with business stakeholders, translating requirements into data models, mappings, and transformation rules across multiple functional domains., • Collaborate closely with functional, integration, and technical teams to ensure alignment on data models, cross-system dependencies, and process integration points., • Advise clients on data lifecycle strategies, including data archiving, legacy system decommissioning, and ongoing governance across SAP and adjacent systems., • Lead and mentor global, multi-disciplinary data teams across onshore, nearshore, and offshore models to deliver high-quality outcomes., • Support business development initiatives, including shaping data migration solutions, contributing to proposals, and leading client discussions across SAP data transformation programmes. The Person • Strong work experience in SAP data migration, conversion, data governance, and integration, with a strong track record of delivering complex, global transformation programmes., • Demonstrable experience leading data workstreams within SAP S/4HANA implementations, including Public Cloud deployments, across multi-country and multi-wave environments., • Strong expertise in SAP data domains across Finance, Supply Chain, and Procurement, with working knowledge of SuccessFactors, Payroll, and EWM., • Proven leadership in defining and executing end-to-end data migration strategies across interconnected SAP systems and third-party applications., • Experience in facilitating data workshops and engaging with senior business stakeholders to drive decisions and resolve data issues., • Hands-on experience with SAP data migration tools, including Migration Cockpit, SAP Data Services, and related ETL/integration technologies., • Strong expertise in data architecture, data modelling, data quality, and data security, ensuring scalable and compliant data frameworks., • Experience producing high-quality artefacts such as Data Migration Strategy, Object Design Documents, Mapping Specifications, Data Quality Reports, and Cutover Runbooks., • Strong understanding of cross-system data dependencies, particularly between S/4HANA, MDG, SuccessFactors, Payroll, and EWM, and their impact on migration and integration design., • Proven ability to manage complex cutover activities from a data perspective, ensuring minimal business disruption and successful go-live outcomes., • Strong stakeholder management skills, with the ability to build trusted relationships and influence both business and IT leadership., • Demonstrable experience leading and mentoring diverse, multinational teams across distributed delivery models., • Experience supporting pre-sales and business development, including RFP responses, solution shaping, and estimation for SAP data migration initiatives., • Strong analytical and problem-solving skills, with the ability to simplify complex data challenges and deliver pragmatic, business-focused solutions., • Self-starter with the ability to operate effectively in fast-paced, evolving environments, particularly in emerging areas such as AI-enabled enterprise data transformation.

The Group Investment Management (GIM) Team is hiring for a Senior Manager - Data Scientist to work in the Tooling and Data Team. Your ability to interpret and use data science and analytics to deliver your work and support the team is essential. You will be able to use pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk. Your ability to present a suite of dashboards and metrics to provide senior management with tools for prioritisation and analysis will be key. The predictive risk metrics you will develop will allow timely management intervention, avoiding costly last minute write off and help foster a delivery discipline and delivery transparency culture. You will play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You will take the lead on developing machine learning models and early warning indicators to proactively identify delivery risks across a multi-million-pound change portfolio. This is a unique opportunity to apply your data expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence. Key Responsibilities • Lead the design and implement machine learning models to predict programme delivery risks and financial overruns., • Help integrate the insight generated into dashboards and visualisations (eg Power BI) to communicate insights to senior leadership, in collaboration with existing MI teams. Provide leadership to ensure that risk metrics and insights are actionable and trackable., • Collaborate with senior stakeholders across the business to understand data needs and translate them into technical solutions., • Conduct data cleaning, preprocessing, and integration from multiple sources (internal databases, APIs)., • Contribute to the development of the Group-wide delivery framework and assurance standards., • Stay current with advancements in AI/ML and apply them to improve risk prediction and decision-making., • Support the annual investment planning process with data-driven analysis and scenario Required Experience & Qualifications • Proficiency with Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar., • Experience of LLM prompt engineering for systematic feature extraction from unstructured data., • Strong SQL and data wrangling skills; experience with ETL processes., • Solid understanding of statistical analysis and hypothesis testing., • Experience building and deploying machine learning models in a business context, • Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib)., • Familiarity with fine tuning small LLM models to automate small topic extraction tasks from unstructured data., • Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake data platform., • Experience with enterprise programme management / PPM tools such as Clarity, Planview, Asana, and JIRA., • Knowledge of SAP ERP and Workday systems data., • Experience in financial services or programme delivery environments., • Strong communication and collaboration skills., • Self-starter with the ability to manage multiple priorities in a fast-paced environment. London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Data & AI Solutions Developer London based Hybrid working (2-days/week in office) £ + 20% bonus Full-time, permanent role Amtis is proud to be recruiting for a Data & AI Solutions Developer on behalf of a growing organisation investing heavily in modern data, automation, and AI capability. This is a unique opportunity for someone who enjoys combining technical capability with stakeholder engagement. You’ll operate as the organisation’s primary in-house developer, working closely with senior stakeholders, technology teams, and external vendors to design practical, scalable solutions across data engineering, automation, and AI. This role is heavily focused on Microsoft technologies and would suit someone comfortable working independently in a hands-on environment. What you’ll be doing • Designing and implementing Copilot and AI-driven solutions, • Building and maintaining data pipelines and integrations, • Working with large-scale SQL datasets for analytics and reporting, • Developing automation workflows using RPA technologies including UiPath, • Bridging legacy systems with modern Microsoft cloud platforms, • Supporting governance, GDPR compliance, and responsible AI usage, • Collaborating with senior stakeholders to shape data and AI initiatives, • Supporting colleagues with AI adoption and best practice usage Tech environment • Azure Data Factory, • Azure Synapse Analytics, • Azure SQL, • Azure Data Lake, • .NET / .NET Core, • Power Platform, • Copilot Studio, • Azure AI Services, • UiPath, • GitHub / Azure DevOps What we’re looking for • Strong Microsoft data and development experience, • Advanced SQL and data modelling capability, • Experience building ETL pipelines and data warehousing solutions, • Exposure to AI technologies and automation platforms, • Strong communication and stakeholder management skills, • Ability to work independently and prioritise effectively, • Understanding of governance, compliance, and data privacy frameworks

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.

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

Data Engineers — Contract Multiple roles · Mid-level & Senior · Hybrid (UK) 📌 Rate: £450–£600 per day (Inside IR35, dependent on experience) 📌 Duration: 6-month SOW initially; longer-term programme (2–3 years overall) 📌 Location: Remote (UK-based) — occasional travel to the Midlands (up to 2 days/month) 📌 Clearance: SC eligible required (UK residency) Hanover are building two data engineering teams to support a large-scale, long-running programme within Central Government. This role centres around designing and building data pipelines in a modern cloud environment, embedded within multi-disciplinary Agile teams. There are both mid-level, senior and lead positions available, so we're open to a range of experience levels. What you'll be doing – Designing, building and maintaining scalable ETL/ELT data pipelines – Working with structured data sources to support analytics and downstream services – Collaborating within Agile delivery teams alongside engineers of mixed seniority – Improving data quality, performance and reliability – Contributing to knowledge sharing and good engineering practice across teams What we're looking for – Strong background as a Data Engineer in complex, delivery-led environments – Solid ETL/ELT experience — Talend is highly desirable – Experience with one or more of: AWS, Oracle, PL/SQL, PostgreSQL – Strong SQL and data modelling fundamentals – Comfortable working in Agile teams with real delivery pressure Nice to have – Central or wider public sector experience – Exposure to large-scale or regulated data environments

BI Developer Trustmarque | Remote (UK) | Full-time Are you passionate about turning data into meaningful insights that drive real business decisions? At Trustmarque, we’re looking for a talented BI Developer to join our growing data team and play a pivotal role in shaping how data is transformed, modelled, and consumed across the organisation. This is a fully remote role where you’ll sit at the intersection of data engineering and business intelligence, acting as the vital link between technical data pipelines and impactful business reporting. About the Role As a BI Developer, you’ll work closely with Data Engineers and Data Analysts to transform raw data into clean, structured, and analytics-ready datasets. You’ll design and maintain transformation pipelines, build robust semantic models, and deliver high-quality Power BI dashboards and reports that empower stakeholders to make confident, data-driven decisions. What You’ll Be Doing • Act as the key bridge between Data Engineering and Data Analyst teams, ensuring data is structured, documented, and ready for reporting, • Design and build scalable transformation pipelines within Microsoft Fabric, • Develop reusable, well-documented semantic data models optimised for Power BI, • Create and maintain engaging, interactive Power BI reports and dashboards, • Apply advanced techniques including DAX, Power Query, and row-level security, • Support and optimise data pipelines, transforming manual processes into automated, scalable solutions, • Collaborate with stakeholders to translate business requirements into data-driven solutions, • Implement data quality checks, validation rules, and monitoring processes, • Uphold data governance best practices across the BI layer, • Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations), • Conduct data audits to improve quality, security, and governance, • Maintain clear documentation of data flows, lineage, and transformations, • Strong hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, OneLake), • Advanced Power BI skills (report design, DAX, Power Query, dataset management, governance), • Solid understanding of data modelling principles, including star schema design, • Strong SQL skills with a focus on performance optimisation, • Experience with ETL/ELT processes and data transformation workflows, • Knowledge of data warehousing concepts and architectures, • Understanding of data governance, including quality, security, and compliance, • Excellent problem-solving skills with the ability to analyse complex datasets, • High attention to detail and commitment to data accuracy, • Strong communication skills with the ability to work across technical and non-technical teams At Trustmarque, you’ll be part of a collaborative and forward-thinking environment where data is at the heart of decision-making. You’ll have the opportunity to work with modern technologies, influence data strategy, and deliver solutions that make a real impact.

Bachelor’s in Software Engineering, Data Science, or IT (Master’s desirable in related or business fields such as Maths or MBA). Strong understanding of data integration, PL/SQL/T-SQL, and data governance including quality, security, and compliance. SQL, ETL tools, data modelling, data marts, an

Principal SQL Developer – Trading Desk | SQL Server, C#/.NET, Concurrent SQL environment | 25-Year Systematic Hedge Fund • £140k-£180k circa base + bonus (up to 100%), • City of London, on-site Mon-Fri Our client, an algorithmic trading hedge fund with a 25-year track record in systematic trading, are hiring a Principal SQL Developer to join their trading desk tech team. It’s a 20-person business with roughly half the team in engineering and technical roles, so you’re in a genuinely tech-led environment where trading is fully programmatic and engineers work closely with the desk day to day. They’re hiring a Principal SQL Developer to become the lead engineer responsible for their most business-critical platform: the internal trading dashboard that sits at the centre of the desk’s day-to-day activity. You’ll work closely with traders, quantitative researchers and the Founder, helping shape how financial market data is stored, modelled, queried and surfaced across the business. The environment spans long-running futures trading systems, crypto trading infrastructure built over the last decade, and increasingly complex options datasets. A big part of the role is understanding what the business is trying to achieve with the data, then designing the right structures, workflows and tooling around it. This is not a traditional ETL or pipeline engineering role. The systems are highly concurrent, transactional and real-time, with correctness and consistency being absolutely critical. A lot of the core business logic sits in SQL stored procedures, and the role spans both the database and application layers across SQL Server and C#/.NET systems while acting as a key link between the trading desk and wider engineering team. Non-Negotiables • SQL Server, • Concurrent SQL environments, • Stored Procedures, • Complex query optimisation, • Data modelling, • C# / .NET, • Front-office buy-side experience (hedge funds, asset management, systematic trading, OMS/PMS environments), • Strong academics (2:1 or above in a technical discipline) What You'll Work With • SQL Server on Windows VMs in Azure, • C# / .NET, • Trading dashboard, • Portfolio and order management systems, • Real-time trading desk tooling, • Futures, crypto and options datasets, • Data visualisation, • Reporting and monitoring tools Nice to Haves • Front-office buy-side experience, • Systematic trading environments, • Quant research support, • OMS / PMS platforms, • Distributed systems exposure, • Legacy platform modernisation, • SQL Server performance tuning, • Trading desk interaction Why Join You’ll be joining a small team with high engineering standards, working alongside some very sharp people who care about doing things properly. There’s a strong culture of peer review and technical debate, and you’ll have real ownership from day one. You’ll also be working directly with traders and senior leadership, so your work is closely tied to how the business performs. The problems themselves are genuinely interesting, centred around correctness in a concurrent, real-time environment rather than scale. Benefits • Bonus up to 100% (performance-based, genuinely paid), • 25 days holiday + bank hols, • Pension Principal SQL Developer – Trading Desk | SQL Server, C#/.NET, Concurrent SQL environment | 25-Year Systematic Hedge Fund

A leading organisation operating within the Defence, Cyber and National Security sector is looking to hire a Data Engineer to join a growing London-based team. This is an opportunity to work on complex, high-impact projects helping clients process, manage and unlock value from large-scale datasets in highly secure environments. The role will involve working closely with Data Architects, Analysts and Data Scientists to build and maintain scalable data pipelines, cloud-based data infrastructure and modern data platforms. This position would suit someone who enjoys solving technical challenges, working across diverse projects and engaging with both technical and non-technical stakeholders. What’s on offer • Salary up to £53,000, • London-based role with hybrid working (minimum 3 days on-site), • Company bonus scheme, • Private medical and dental insurance, • Competitive pension scheme, • 25 days annual leave with buy/sell options, • Dedicated career development and progression support, • Opportunity to work on cutting-edge projects within Defence and National Security, • Access to a broad range of wellbeing, diversity and support initiatives What you need • Experience building and maintaining ETL/data pipelines, • Strong SQL and Python skills or experience with similar programming languages, • Understanding of DataOps and software engineering best practices, • Experience working with cloud-based data infrastructure and services, • Knowledge of data modelling, orchestration and data management principles, • Ability to work closely with stakeholders to gather and understand business requirements, • Strong communication skills with the ability to engage technical and non-technical audiences, • Experience collaborating across cross-functional teams, • Ability to adapt quickly to evolving technologies and tooling within data engineering, • Eligibility to obtain UK Security Clearance is required for this role

Event Team Leader (ETL) – Join Our Dynamic Events Team! About TST Events: TST Events specialises in providing staffing solutions to support and manage high-profile events. Support Event Logistics – Assist in coordinating rail services and event operations to ensure seamless execution.

Act as the lead data scientist for a core product domain. Improve datasets, dashboards, and analytical tooling. Strong understanding of ETL/debugging data issues.

Data DevOps Engineer (SRE) £460/day Inside IR-35 6 month initial contract Active SC Clearance essential Role Description: Work with Agile teams to automate infrastructure, ensure platform reliability, and support continuous delivery. Use modern cloud-native tools and CI/CD platforms to maintain secure, observable, and high-performing environments. Relevant Skills: Essential Skills: • Proficiency in Python or Scala for data processing, • Strong SQL skills for querying and managing relational databases, • Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena, • Knowledge of ETL processes and data pipeline development, • Understanding of data modelling and data warehousing concepts, • Experience with infrastructure as code tools such as Terraform or CloudFormation, • Exposure to Apache Spark for distributed data processing, • Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions, • Understanding of containerisation using Docker Respect and ...

A successful multinational technology business is looking for a Data Reliability Engineer to join its growing data team in Central London. This role is hybrid youll be able to work from home 2 days per week. This is a high-impact role focused on improving data quality, reducing incidents, and building scalable observability across a modern enterprise data platform. Youll help ensure data across the organisation is accurate, reliable, and trusted for critical business decision-making. Youll take ownership of data reliability end-to-end, designing and implementing frameworks that monitor data health, detect anomalies, and enforce standards across complex data pipelines and platforms. Youll have experience in Data Engineering, Data Platform, or SRE-style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution to a proactive, reliability-led approach. Youll define and manage data SLAs and SLOs, implement automated validation an...

Palantir Data Consultant – Defence & Security Bristol, London or Manchester DV Clearance Eligible Required The Opportunity An exciting opportunity to join a growing Technology & Transformation capability supporting high-impact Defence & Security programmes. This role sits at the intersection of data engineering, architecture, and business transformation, delivering mission-critical solutions using the Palantir platform. Key Responsibilities • Design, build, and optimise data pipelines and ETL workflows within Palantir Foundry, • Develop scalable data models and architect robust Foundry solutions, • Transform complex, multi-source data into structured, high-quality assets, • Implement data governance, lineage, and quality frameworks, • Develop applications within the Palantir ecosystem (low-code and pro-code), • Collaborate with cross-functional teams using agile methodologies, • Translate business requirements into technical solutions that deliver measurable outcomes Required Experience & Skills • Hands-on experience with Palantir Foundry and/or Gotham, • Strong background in data engineering, including ETL and pipeline development, • Experience working with batch, streaming, and unstructured data, • Proficiency in Python and/or TypeScript, • Understanding of data modelling, system design, and scalable architectures, • Knowledge of data governance, metadata management, and security principles, • Strong communication skills with the ability to engage technical and non-technical stakeholders, • Familiarity with SDLC, version control, and CI/CD practices Security Requirements Candidates must have an active UK Developed Vetting (DV) clearance.

Introduction At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data-driven decisions in a rapidly evolving risk landscape. Here, you’ll be part of a team that leverages world-class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence. Together, we transform advanced insights and market intelligence into strategies that protect businesses, drive performance, and shape the future of reinsurance. We’re a community of decision makers, future shapers, and trusted experts working side by side to deliver meaningful impact through innovative thinking and practical solutions. At Gallagher Re, your curiosity is welcomed, your growth is championed, and your work truly matters. This is a place where you'll have the freedom to explore new ideas, take ownership of your career, and collaborate with people who are as driven and inquisitive as you are. Overview At Gallagher Re, we are seeking an experienced Data Platform and Design Lead to establish and evolve the core fundamentals of our Data Platform. This platform will support operational, transactional, and analytics data, enabling seamless ingestion, storage, and consumption of data for Gallagher Re’s products and business platforms. The role will focus on continuously maturing the platform to support report integrations, as well as advanced capabilities in artificial intelligence (AI), machine learning (ML), and analytics. As a key member of the data team, you will focus on: • Strategically designing the data platform, including the evolution of data domains, data lifecycles, and enabling data capabilities., • Ensuring the quality, security, and governance of all data within the platform, with an emphasis on collaboration with data stewards and robust data governance practices. A core aspect of this role is close collaboration with the enterprise to ensure alignment with enterprise-wide standards, patterns, and reference architectures, including OneSource. How you'll make an impact Data Platform Design and Development • Domains: Create logical groupings of data aligned with business functions to ensure clarity, ownership, and scalability., • Data Contracts: Manage formal agreements between data producers and consumers regarding data quality, availability, and usage., • Target Data Lifecycles: Define and implement data lifecycles across Gallagher Re processes in line with supporting technical architecture., • Analytics Sandboxes: Enable secure, flexible environments for data experimentation and innovation., • AI & ML Opportunities: Facilitate the adoption of AI and machine learning solutions. Establish the following foundational elements before transitioning responsibilities to the Data Platform Governance Lead as the platform matures: • Master Data Management & Data Flows: Define and control how master data is created, maintained, and used., • Reference Data Management: Define and control how reference data is created, maintained, and shared., • Metadata & Data Lineage: Define and control how metadata and data lineage are created, maintained, shared, and used. Key Skills & Competencies • Contribute to the broader data strategy and vision for Gallagher Re., • Demonstrate a fantastic technical understanding of the software delivery lifecycle and agile methodologies within a large organisation., • Partner with stakeholders across Gallagher Re to understand data needs, influence decision-making, and translate requirements into technical designs for the data platform., • Collaborate closely with data engineering and architecture teams to deliver tangible outcomes., • Exhibit exceptional stakeholder management, supported by excellent communication and facilitation skills., • Previous experience in a data-focused role such as Data Business Partner or Manager, Product Manager, Product Owner, Data Analyst, or Technical Business Analyst., • Excellent understanding of modern data platform technologies, including:, • Data lakes and data warehouses (e.g., Snowflake, Azure Databricks, Azure Data Factory)., • ETL pipelines and enterprise data modelling., • SQL and data profiling., • Structured and unstructured datasets., • Schema design and methods (e.g., YAML, XML)., • Data visualisation tools (e.g., Power BI or equivalent)., • Data quality, compliance, and standards (e.g., PII, GDPR, CCPA)., • Data management and data governance processes., • Experience managing product backlogs and delivering data capabilities in agile environments., • Fantastic data literacy with the ability to interpret, challenge, and translate business and technical requirements., • Excellent communication and facilitation skills, with the ability to influence and build strong relationships., • Passion for emerging data technologies, continuous improvement, and challenging existing approaches. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve: • Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days, • Defined contribution pension scheme, which Gallagher will also contribute to, • Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x, • Income protection, we’ll cover up to 50% of your annual income, with options to top up, • Three fully paid volunteering days per year, • Employee Stock Purchase plan, offering company shares at a discount, • Share incentive plan, HMRC approved, tax effective, stock purchase plan, • Critical illness cover, • Discounted gym membership, with over 3,000 gyms nationally, • Season ticket loan, • Access to a discounted voucher portal to save money on your weekly shop or next big purchase, • Emergency back-up family care Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long-term health conditions or disabilities. We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Don’t worry, we’re here to help, however, we can only do this if you let us know. Should you require reasonable adjustments to your application, please get in touch with ___ . If you’d prefer to speak on the phone, please request a call back, leaving details, so we get in touch. Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

SC-Cleared ETL Developer (Talend / Oracle). Talend and Oracle RDS platforms , contributing to the development and support of secure data integration and exchange services using established frameworks and patterns. Oracle RDS Experience working in secure or highly regulated environments.

Role Overview The role is responsible for designing, building & maintaining robust data architectures that integrate SAP and non-SAP systems to support enterprise-wide data management, analytics, and reporting needs. This role ensures seamless data flow, integrity, and accessibility across diverse platforms while aligning with business objectives and industry best practices. They are responsible to work with wider Data and analytics team, such as Data product management, Data governance and collaborate with Solution architects on business requirements and helps design, model & maintain data solutions, covering enterprise data solutions – this includes working in SAP and non-SAP landscape in ingestion, transformation, modelling and creating and managing data products including reports and consumption of data products by consumers using API and other integration patterns The role is expected to be hands on in design and build across SAP and NON-SAP data warehouses and facilitate data architecture work on consumption and usage of data. Typical Responsibilities & Deliverables: In this role, you will: · Involved in requirement analysis and discovery · Facilitate workshops with Data product managers and other stakeholders from IT towers and business stakeholders on data architecture and design High Level Architecture (HLA) & represent in design authority forums for the HLA & generate solution specifications to be handed over to the delivery team for build and maintenance · Some of the activities covered as part of the solution design includes, hands on analysis in systems, conceptual and logical diagrams for entities or data architecture diagrams for data solutions. Driving solutions, working with data analysts in facilitating data discovery, profiling, modelling of data and integration solutions. Ensuring Data definitions are well understood and captured. Responsible for solution to meet good standards of data quality, performance& sustainable aligning to enterprise & data architecture principles. · Perform Impact assessment and estimation with multiple solution options, based on cost, architecture and timelines. Represent solution in design authority, and handover to delivery team through functional specifications · Expected to be hands-on in the system, for solution design and handing over specification to delivery teams covering– SAP AFS, S4 HANA, various master data systems of records such as PLM, data warehousing systems such as SAP Datasphere (HANA, SAP BDC, SAP BW on HANA. · Expected to design integration and data onboarding using ETL tools e.g SAP BODS, SAP CPI/BTP, 3rd party sources and apis, with good understanding of event and message-based integrations using Active MQ/ Kafka/ AWS kinesis etc, as well as batch processes of synchronous integration involving change pointers and delta refresh · Designing reporting solutions with visualisation suite covering Tableau, PowerBI, SAP BOBJ, Bex, SAP analytics etc with good knowledge on some of those systems. · Good to know: Modern cloud-based data lake houses such as Databricks · Run/ Support RFP / software selection evaluation Technical Skills · 15+ years of experience with strong expertise as an SAP Data architect, including SAP S4 HANA and AFS, with coverage of several modules such as MM/SD/FICO, SAP CAR etc. Proven experience in extraction and modelling in SAP BW, SAP HANA/Datasphere/ BDC and building modelled reporting solutions · Good working experience in integration of data via BODS/SAP CPI/ SLT & event/ message-based integration · Understanding of microservices, REST/SOAP APIs · Experience in reporting & visualization platforms (e.g., Power BI, Tableau, SAP BOBJ, Bex etc). · Good to have: Knowledge and exposure in Databricks data architecture and data engineering using pyspark. Ability to navigate, troubleshoot and design data onboarding and support data architecture for data products in Databricks, for consumption of ML and visualisation · Experience with conceptual and logical data modelling covering data entities or information architecture (e.g Lucid Diagrams or ERwin, PowerDesigner) · Exposure to managing and maintaining meta-data and data architecture lineages with data catalog such as Alation/ Collibra/ Purview and DQ and observability platforms Soft Skills · Excellent problem-solving and analytical skills. · Strong communication and stakeholder management abilities. · Ability to work in a fast-paced, collaborative environment. · Self-driven, goal oriented and ability to manage timelines within a collaborative environment. · Ability to translate a bigger picture into detail and to translate technical speech to the business language · Ability to maintain a sufficiently deep knowledge of business areas processes, data context and solutions and technology to provide architectural leadership and direction for the domain · Expected to carry out core accountabilities with minimal level of supervision for complex tasks and no supervision for more routine matters, following delivery best practises with DPM and service managers. · Ability to delegate delivery responsibilities while retaining oversight and accountability. · Work closely with the delivery team for successful implementation and go live of the solution · Continuously improve with Burberry governance frameworks, including logging and tracking tech-debt and actions and improve pain points around observability and maintenance of data architecture

The D&BI team works on allowing integration, transformation and visualisation throughout MO, allowing the organisation to maximise on the power of its data.Working in an agile scrum team to design and build data feeds and related applications.Writing, testing and peer review of ETL code in Oracle OD

The ideal candidate will have experience in Data Engineering, particularly with ETL tools like Python, along with a solid understanding of database concepts.

Motability Operations Limited is seeking a strong technical developer for a 12-month fixed-term contract focused on building data feeds and BI solutions.The candidate will work in an agile scrum team, primarily using Oracle ODI and Snowflake for data integration and visualization.Key skills include

In this role, you will manage the ETL pipeline crucial for financial reporting, while also improving the cloud architecture. Claims Recruitment Services is seeking a Senior Data Engineer in London to lead ETL processes and support the migration to a cloud-native data platform.

Hands‑on Fabric engineer with significant experience across Fabric data ETL.

The role involves building and maintaining data processing pipelines, requiring strong analytical skills and experience with cloud services and data ETL tools.

Test Triangle is seeking a hands-on Fabric engineer in London with significant experience in Fabric data ETL. Responsibilities include designing and building Fabric ETL, making decisions on Fabric components, and coaching analysts and developers.

Experience working with data platforms , such as data warehousing, ETL processes, or data pipelines, and an appreciation for how data underpins digital products and reporting. Role: Umbraco Developer Location: Remote (Travel to West Midlands Once Every Few Months) Salary: £50,000 - £55,000 Network

This role focuses on data integration and governance while providing the opportunity to develop and maintain scalable data frameworks. A prestigious investment firm in London is seeking a Junior Data Engineer to join their Technology function.

Multi-Engine Management: Administer a hybrid database environment, ensuring seamless data flow between PostgreSQL (Live Trading) and ClickHouse/Snowflake (Analytics).Data Movement & ETL: Own the reliability of CDC pipelines that stream data from production Postgres instances into the analytical laye

We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. Required Skills & Experience Core Technical Expertise • 15+ years in Data & Analytics, with 5+ years in leadership roles, • Strong hands-on experience across:, • Azure cloud, ADF, DevOps, Power BI, Fabric workspaces, • AWS cloud, S3, cross-cloud connectivity, API Gateways, • GCP (BigQuery, GCS, Dataflow), • Deep expertise in:, • Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.), • Snowflake (data warehousing & data sharing, Iceberg, ), • Strong understanding of:, • Data architecture patterns, industry benchmarking,, • Data integration patterns (ETL/ELT, streaming, CDC, APIs), • Data governance & metadata management Architecture & M&A Experience • Proven experience in M&A data integration, platform consolidation, or carve-outs, • Experience designing multi-cloud or hybrid data architectures, • Familiarity with enterprise architecture frameworks (TOGAF or equivalent) Leadership & Stakeholder Skills • Experience managing or leading senior architects or technical teams, • Strong communication skills with the ability to influence C-level stakeholders, • Ability to bridge business strategy and technical execution, • Experience working in consulting or client-facing roles

Role Title: Data Engineer SC Eligible Location: Remote (Telford 2 x monthly - Worthing also a possibility) Contract Tenure: 6 Months Start Date: 01 June 26 We are seeking Data Engineers to support delivery within a large-scale data exploitation programme. The role will focus on developing and maintaining ETL pipelines within an established Talend framework, alongside working with Oracle RDS databases and CI/CD pipelines. Key responsibilities: Design and develop ETL solutions using Talend Build and maintain Oracle SQL and DDL artefacts Contribute to CI/CD pipeline enhancements (GitLab) Investigate and resolve defects across development and testing phases Conduct component testing, including test data creation Support QA, performance testing, and production releases Perform peer reviews of development and test artefacts Provide guidance and mentoring to junior team members Contribute to agile ceremonies and cross-team coordinationSkills and experience: Strong hands-on experience with Talend (essential) Experience with Oracle databases (preferably RDS) Solid SQL and data modelling capability Experience working within structured SDLC and testing frameworks Familiarity with CI/CD tools (e.g. GitLab) Experience in enterprise or public sector environments desirable SC Eligible

Junior Data Engineer - Public Sector Contract: Initial 7 months (extension possible) Rate: £310 per day, Inside IR35 Location: Remote with travel to Waterloo (2-3 days per month) Security Clearance: SC‑eligible (5 years UK residency required) I am working with a key consultancy delivering a major UK public sector programme and are looking for a Junior Data Engineer / Scientist to join a mixed delivery team building and operating secure, reliable data platforms that support critical public services.This role is designed for someone early in their data career who wants to develop strong engineering fundamentals in a real production environment. The role - a junior, generalist data engineering position. This is an engineering‑led role, not a specialist or senior position. The team is ideally looking for a generalist in their first few years within data engineering or data science, who is building breadth across data platforms, pipelines and operations. You'll focus on: Designing, building and maintaining data pipelines Supporting the operation of data lakes and data warehouses Implementing and improving ETL / ELT processes Using Python and SQL to transform, validate and move data Working with analysts and developers to turn data requirements into technical solutions Monitoring data quality, documenting data models and lineage, and resolving issues Automating data workflows and operational tasks Participating in Agile delivery, sprint work and collaboration Supporting incidents and helping improve platform reliability over time Working within public sector data governance, security and privacy standardsThis role offers exposure to how data platforms are built, operated and supported in a regulated environment - forming the foundations of a long‑term data engineering career. What this role is not To avoid misalignment, it's important to be clear about what this role is not focused on: ❌ Not a Data Analyst role ❌ Not a Power BI / dashboard developer role ❌ Not an insight, reporting or MI position ❌ Not a modelling, ML or research‑focused role ❌ Not an LLM, AI or advanced data science roleWhile you may work alongside analysts and data scientists, this role does not centre on: Building dashboards Producing insights or reports Statistical modelling Predictive or machine learning solutionsThe emphasis is on data engineering foundations and platform delivery. Ideal candidate profile This role is best suited to someone who: Is in their first few years of a data engineering or data science career Wants to build core engineering skills rather than specialise immediately Has hands‑on experience with SQL and Python Understands basic data modelling and ETL concepts Is comfortable learning through delivery in a production environment Is interested in how data platforms work end‑to‑end, including operations and support Is keen to grow within public sector data platforms Who this role is unlikely to suit This role is unlikely to be appropriate for candidates who: Are very senior data engineers or architects Have primarily worked in advanced ML, AI, or research‑focused roles Are specialised Power BI, reporting or MI developers Are looking for a role centred on analysis, insights or modelling Are seeking leadership, ownership of platform strategy, or advanced optimisation workApplications that demonstrate significant seniority or deep specialisation rather than junior‑to‑mid generalist experience may not be progressed. Required skills and experience Your CV should clearly demonstrate: A degree in a technical discipline (Computer Science, Data Science, Mathematics or similar) Hands‑on experience with SQL Experience using Python, Java or Bash Understanding of ETL processes and data modelling fundamentals Experience with version control (e.g. Git) Comfort working in Agile / DevOps environments Awareness of data security and privacy Eligibility for UK SC clearance Nice to have (but not essential) Exposure to AWS, Azure or GCP Familiarity with tools such as Airflow, dbt, Spark Awareness of CI/CD pipelines or containerisation Experience in public sector or regulated environments Important note for applicants This role is deliberately positioned as a junior, generalist data engineering role. Please ensure your CV clearly demonstrates hands‑on data engineering fundamentals, rather than senior leadership, advanced AI/ML work, or analytics‑only experience. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Delivery Manager – Automation & Data Analytics Location: London / Flexible / Hybrid We are hiring an experienced Delivery Lead / Delivery Manager to lead enterprise-scale automation and data analytics programmes for a global technology consulting environment. This is a client-facing role focused on automation, analytics, reporting, dashboards, KPI management, stakeholder engagement, and digital transformation delivery. Key Responsibilities • Lead end-to-end delivery of automation and analytics projects, • Manage technical scope, client expectations, and delivery timelines, • Drive reporting automation, dashboard development, and KPI tracking, • Work with data integration, data modelling, and business intelligence tools, • Build strong relationships with senior stakeholders and client teams, • Deliver insights through analytics, reporting, and visualisation solutions, • Improve operational efficiency through automation and process optimisation, • Support predictive analytics and data-driven decision making Required Skills & Experience • Proven experience as a Delivery Lead, Delivery Manager, Programme Manager, or Solution Architect, • Strong background in automation, analytics, reporting, dashboards, and data transformation, • Experience with Power BI, Tableau, SQL, ETL, data integration, or data visualisation tools, • Strong stakeholder management and client-facing delivery experience, • Experience delivering within enterprise or consulting environments, • Excellent communication and leadership skills Desirable • Experience within IT services, consulting, or digital transformation programmes, • Exposure to predictive analytics, KPI frameworks, and process automation, • Knowledge of Azure, AWS, Python, or data governance frameworks This is an excellent opportunity to join a high-performing delivery environment working on large-scale transformation programmes with enterprise clients

Data Engineer / Permanent / London Hybrid - 3 days onsite / up to £45,000 This is a fantastic opportunity to join a leading global organisation with a strong international presence, dedicated to delivering customer-centric services while investing in innovation, technology, and growth. The role offers the chance to further develop your skills and gain professional certifications, working alongside experienced professionals in a collaborative and supportive environment designed to support your progression. What you'll do: Build and optimise Azure data pipelines (ADF, Databricks) Support migration into Azure Data Lake Drive data quality, governance, and performance Collaborate with global teams in an agile environment What you'll bring: Strong SQL + ETL/ELT experience Knowledge of Python / T-SQL Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high-impact data team in a global organisation and shape how data is used across the business. If this sounds like a good fit then please apply today! *Please note that unfortunately the client cannot offer sponsorship for this position

Building a sustainable tomorrow The Ferrovial - BAM Rail Systems Joint Venture (FBRS JV) has a proven track record of delivering critical UK infrastructure on time and within budget through strong collaborative partnerships. We are now seeking an experienced and highly motivated BIM ProjectWise Engineer to join the HS2 Track Infrastructure Project based out of our project office in London, near Euston. Your team You will be required to be in the office 4 days at minimum Making Possible As a BIM ProjectWise Engineer you will be part of the FBRS BIM & Information Management Team (IM) and you will be managing and maintaining the FBRS RSA ProjectWise working area. Reporting to the Project Information Manager,you will be responsible managing users access control, project setup and system configuration as well as: Contribute to the management of the Project CDE (RSA ProjectWise) according to the project procedures including document management structure, workflows, naming convention, etc. Support project members to Install, configure and upgrade ProjectWise including managing user accounts, permissions and security settings Provide first-line support to users and troubleshoot technical issues related to ProjectWise and its infrastructure. Create and manage favorites, shortcuts or personalized views for streamline navigation. Ensure compliance with client standards, CAD quality requirements, BIM Execution Plan (BEP)and ISO 19650. Support compliance checking and quality assurance of Supply chain CAD Deliverables and assurance evidence. Assist the Information Management (IM) team in enforcing data and asset standards across the project. Support BIM Team ensuring BIM Deliverables are compliant and provided in timely manner to suit programme. Ensure design coordination is managed and applied fully and efficiently within the RSA CDE within project area of responsibility. Assist in identifying opportunities and recommendations for improving processes and increasing workflow efficiencies. Supports the integration of Asset information - CAD-GIS systems within FBRS project. Train internal ad external users on ProjectWise functionalities, information management flows and best practices. Work close with client, RSA delivery team and Project Information Manager to escalate unfamiliar issues and ensure system stability and improvement. Support FBRS Team with design collaboration platforms (itwin) What do you bring to the role? Proficient understanding of ISO 19650 Expert proficiency in Common Data Environments (CDE) and collaboration platforms like Bentley ProjectWise and iTwin. Proficiency in BIM authoring and coordination software (Autodesk AutoCAD Civils 3D, Navisworks, Bentley OpenBuildings Design, Bently Microstation, OpenRail Design. Understanding and experience following of CAD standards and schemas Understanding of spatial data transformations Understand document properties and metadata Ability to interpret client requirements for Asset information Ability to perform Quality Assurance checks according to the project and industry standards Ability to coordinate and manage own workload support project delivery. Basic understanding of reporting and audit functions, including viewing activity logs and document histories. Familiarity with ETL tools like FME and GIS integrations. Excellent communication and engagement skills Minimum Qualifications Needed for Role Degree in BIM/Design/Architecture/Civil o Mechanical Engineering, or a related field required Min 5 years experience working in Bentley ProjectWise environment. Experience using Autodesk & Bentley software products preferred. Familiarity with ArcGIS. Experience in working to ISO 19650 in a multi-agency environment Experience in design delivery and general civil engineering works Whats in it for you? Competitive salary A wide range of family-friendly policies Company car/car allowance/travel allowance 8 % matched pension contributions Private healthcare Life assurance 26 days holiday 2 wellbeing days 1 volunteering day Personal and professional development BAM Infrastructure is also committed to equality of opportunity in all its employment practices, and to developing policies that support work-life balance. TPBN1_UKTJ