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Contract AI & Data/Jr Forward Deployed Engineer | Up to £500.00 Outside IR35 | 3 months (rolling) | Hybrid Monthly (UK) A fast-growing UK-based FinTech scale-up is looking for 2x Contract AI & Data Engineers to join their financial analytics platform team. Haven't held the title yet? No problem... if you've been doing the work, we want to hear from you. Responsibilities: • Build and maintain scalable data pipelines and AI/ML solutions, • Develop, test, and deploy data models and machine learning workflows, • Implement reporting/data solutions to ensure visibility, accuracy, and integrity, • Strong Python and SQL skills, • Familiarity with Azure or AWS, • Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch), • ETL/ELT pipeline experience, • Microsoft Fabric / Data Lake knowledge, • BI tools (e.g. Power BI, Tableau), • £500.00 per day Outside IR35, • 3-month contract (rolling), • Hybrid monthly - (UK) A great opportunity for a Data Analyst moving into engineering, or a Developer pivoting into the data space - if the skills are there, the title doesn't matter. **Due to high volume of applications, not all applicants will receive feedback Contract AI & Data/Jr Forward Deployed Engineer | Up to £500.00 Outside IR35 | 3 months (rolling) | Hybrid Monthly (UK)

GCP Data Engineer Job Summary: We are seeking a highly motivated and experienced GCP Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines and architectures on Google Cloud Platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and usability, contributing to our data-driven initiatives. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field., • Proven experience (typically 5+ years) as a Data Engineer, with a strong focus on Google Cloud Platform., • In-depth knowledge and hands-on experience with core GCP data services such as:, • BigQuery: For data warehousing, querying, and analytics., • Cloud Dataflow: For batch and stream data processing., • Cloud Pub/Sub: For real-time messaging and event ingestion., • Cloud Storage: For scalable and durable object storage., • Cloud Composer (Apache Airflow): For workflow orchestration and pipeline management., • Cloud Dataproc: For managed Hadoop and Spark clusters (good to have)., • Cloud SQL/Cloud Spanner/Cloud Bigtable: Experience with relational and NoSQL databases., • Strong proficiency in SQL for data manipulation, querying, and optimization., • Expertise in at least one programming language commonly used in data engineering, preferably Python. Scala or Java is a plus., • Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processes., • Experience with version control systems (e.g., Git)., • Strong analytical, problem-solving, and debugging skills., • Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications: • Google Cloud Professional Data Engineer certification., • Experience with data visualization tools (e.g., Looker, Tableau, Power BI)., • Familiarity with CI/CD pipelines for data engineering workflows., • Knowledge of data governance frameworks and tools., • Experience with real-time data processing and streaming architectures., • Basic understanding of machine learning concepts and how to operationalize ML models.

The Lead Engineer / Technical Lead will own the end-to-end technical delivery of a data migration and platform modernisation programme in AWS. This role acts as the single technical point of accountability, setting architecture, defining standards, and coordinating delivery across workstreams. While the programme includes data engineering, the focus is heavily on DevOps, infrastructure, and platform engineering, enabling scalable, secure, and automated migration and ingestion of enterprise data. Key Responsibilities • Own and evolve the AWS/CDP architecture for data migration, ingestion, and downstream consumption, • Define and enforce engineering standards (Terraform, CI/CD, pipeline design, naming conventions), • Lead platform engineering and infrastructure delivery (IaC, networking, security, environment setup), • Oversee migration of ~8–10 enterprise databases into AWS using DMS and CDC patterns, • Ensure migration pipelines are scalable, automated, and resilient, • Enable event-driven and batch data pipelines (S3, Lambda, orchestration), • Ensure data lineage, cataloguing, and documentation are captured, • Coordinate backlog prioritisation, sprint planning, and delivery sequencing, • Validate deliverables for quality, performance, security, and operational readiness, • Act as senior technical interface with stakeholders and delivery partners, • Lead knowledge transfer and upskilling of engineers Required Experience & Skills • 5+ years in data/platform engineering, including leadership experience, • Strong AWS experience: S3, Lambda, IAM, VPC/networking, DMS, • Proven experience with Infrastructure-as-Code (Terraform) and CI/CD pipelines, • Experience delivering large-scale data migrations, including CDC approaches, • Strong Python and SQL skills, • Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines, • Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment, • Familiarity with modern development and deployment frameworks, • Experience with dbt / ELT patterns (beneficial, not core focus), • Strong stakeholder communication and technical leadership skills

Microsoft Fabric Engineer Location: London Your Role: Capgemini Financial Services, we are seeking a number of Hands‑on Microsoft Fabric engineer with significant experience across Fabric data ETL. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home. Core Experience (Must‑Have) • End‑to‑end Fabric delivery specifically across storage, ingestion, and ETL in production., • Fabric decision‑making: practical choices between Lakehouse vs Warehouse, and use of Pipelines, Dataflows, Mirroring, Shortcuts based on real constraints., • Pipelines: set up and run Fabric Pipelines for ETL/ELT (ingestion, orchestration/scheduling) with production‑grade alerting and monitoring., • Strong SQL incl. T‑SQL for transformations and optimisation., • Qlik → Fabric: able to rewrite Qlik load scripts into Fabric SQL/T‑SQL, simplifying and optimising logic for Lakehouse/Warehouse execution., • Power BI: comfortable building reports on Fabric datasets., • Enablement & documentation: partner with technical teams, provide Fabric and Power BI advise and support, and document processes/decisions. Responsibilities : • Lead design and build of Fabric ETL aligned to team needs and best practice., • Select and justify Fabric components and their trade‑offs., • Migrate and optimise Qlik logic to Fabric SQL/T‑SQL for efficient execution., • Coach analysts/developers and document architecture and runbooks. We are a Disability Confident Employer: Capgemini is proud to be a ___under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | ___ If interested and for immediate consideration, please send your CV ASAP

Role Summary Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualize and design data foundations and end-to-end solutions, including data platforms, to maximize value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions. Required skills and experience • Strong proficiency with cloud platforms: AWS, Azure, SAP, • Expertise in ELT development and automation with scalable pipeline design, • Mastery of data modeling techniques, • Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift), • Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest, • Proven ability to coordinate incident, problem, and change management processes, • Strong communication skills with both technical and non-technical stakeholders, • Demonstrated experience in technical documentation and maintaining high-quality solution documentation Desired skills and experience • Experience in project management or leading Agile/Scrum teams, • Experience with financial or operational planning tools (e.g., SAP BPC), • Familiarity with external partner ecosystems and cross-functional delivery models, • Ability to mentor and guide junior engineers, • Experience contributing to enterprise-scale data transformation projects, • Knowledge of trading, supply, or energy domain data models, • Experience with MKDocs documentation Role Responsibilities • Design and deliver scalable, cloud-based data engineering solutions, • Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure, • Manage data ingestion, integration, and transformation workflows while ensuring high standards of data quality, governance, and performance, • Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and solutions, • Act as a subject matter expert, mentoring junior engineers and providing technical guidance, • Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution, • Present technical findings, reports, and recommendations to stakeholders, • Drive implementation efficiency across pilots and enterprise projects to maximize value delivery, • Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Design, build, test, and maintain Data pipelines, managing data platform, develop integrations from diverse data sources including on-premises systems and external APIs, support and troubleshoot production processes. Contribute to scalable pipeline design, resolve data discrepancies, and ensure SLAs are met while continuously improving data models, code efficiency, and data quality. Adhere to best practices in data integrity, testing, security, and documentation, while continuously expanding technical expertise and staying current with evolving tools and platforms. YOU’RE GOOD AT Developing and maintaining medium-high complexity data pipelines and applications within large-scale data platforms. Applying structured problem-solving skills to analyze data issues and identify root causes. Managing multiple tasks and priorities in a fast-paced, Agile environment. Communicating clearly with both technical and non-technical stakeholders. Working collaboratively in a matrixed organization with diverse teams and varying technical expertise. Demonstrating intellectual curiosity and a willingness to learn new technologies and methodologies. Being a proactive team player with a positive attitude and strong ownership mindset. What You'll Bring • Bachelor’s Degree in Computer Science, Engineering, or related field (or equivalent practical experience)., • 4-6 years of relevant experience in Data Engineering., • Expertise in SQL, especially within cloud-based data warehouses like Snowflake, API-integrated data pipelines using Python., • Hands-on experience with AWS technologies such as AWS Lambda/Glue, S3, and CloudFormation etc., • Familiarity with cloud data warehouse platforms such as Snowflake, developing data pipelines in DBT (Data Build Tool); or other ETL/ELT tools, languages and frameworks is a plus., • Working knowledge of version controlling tools, CI/CD processes and deployments using tools such as GitHub, Git Actions, Terraform etc., • Experience working with semi-structured and unstructured data formats such as JSON and XML., • Familiarity with Data orchestration tools such as Airflow., • Experience working in Agile/Scrum environments is preferred., • Experience within GenAI space is a plus. Who You'll Work With You will be a member of the Data Hub Squad, a team focused on ingesting, transforming, streamlining, and exposing high-quality data to support the Marketing function in making data-driven decisions. You will collaborate closely with the Chapter Lead, Product Owner, other data engineers, analysts, and other teams within the Marketing Portfolio. Additional info This position will involve daily collaboration with the Product Owner, Chapter Lead, other engineers and analysts throughout Agile process. The successful candidate will demonstrate: • Strong analytical abilities and creative problem solving, • Ability to work independently with general direction and flexibility in a fast-paced environment, • Good organization and excellent communication skills across cultures, • Integrity and a positive attitude, especially while handling stressful situations, • Work with project stakeholders to understand business requirements and implement data solutions for diverse problems Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.\n BCG is an E - Verify Employer. Click here for more information on E-Verify.

• Central London location – 3-5 days on site p/week, • Up to £80k DoE plus bonuses, • Active MoD DV clearance required, • Experience required in Python, SQL, and ideally Palantir Overview Our client is a secure-sector SME consultancy based in Central London who are looking to bring an experienced Security Cleared Data Engineer into their growing technical team. You will be working on sensitive, mission-critical programmes, designing and delivering robust data solutions in a highly regulated environment. This is an excellent opportunity for a Data Engineer who enjoys working in small, high-impact teams, close customer-facing consultancy, and wants exposure to modern data platforms and tooling. Required Skills & Experience • Proven commercial experience as a Data Engineer, • Strong development skills in Python, • Advanced SQL skills with experience working on complex datasets, • Experience with core data engineering tools and technologies (e.g. ETL/ELT pipelines, data warehouses, orchestration tools), • Strong understanding of data modelling, data quality, and performance optimisation Desirable Experience • Experience with Palantir (Foundry, Gotham), • Willingness and aptitude to learn Palantir technologies on the job, • Background working in defence, government, or other highly regulated environments, • Exposure to cloud platforms and modern data architectures Apply If you’re a DV Cleared Data Engineer with strong Python and SQL experience and an interest in working with Palantir, please apply with your latest CV.

The Role We’re looking for a hands-on Data Engineer to join a growing data team working across AdTech / MarTech. This role is focused on building and optimising data pipelines and models within Snowflake, working with large-scale marketing and media datasets across multiple platforms. You’ll play a key role in shaping how data is ingested, transformed, and structured for analytics and activation, working with complex, often messy datasets from across the media ecosystem. What You’ll Be Doing • Build and maintain data pipelines into Snowflake using modern ELT practices, • Develop scalable data models and views using dbt, • Ingest and integrate data from multiple marketing platforms (APIs, batch, streaming), • Work with datasets from DSPs, paid social, and search platforms, • Blend and transform data across multiple sources into unified datasets, • Ensure data quality, integrity, and reliability across pipelines, • Troubleshoot and optimise existing pipelines and workflows, • Support downstream use cases including BI dashboards and analytics Must-Have Skills • Strong hands-on experience with Snowflake (building views, tables, data models), • Proven experience using dbt in production environments, • Advanced SQL skills, • Experience with Python for data processing, • Working knowledge of AWS (S3, Glue, Lambda or similar) Domain Experience (Critical) • Background in Media, AdTech, or MarTech environments, • Experience working with data from:, • DSPs (e.g. DV360, The Trade Desk), • Paid Social (Meta, TikTok, LinkedIn Ads), • Google Ads, • Strong understanding of how marketing data flows end-to-end What We’re Looking For • Experience building end-to-end data pipelines, • Strong exposure to API-based data ingestion, • Experience handling large, messy, and fragmented datasets, • Ability to create clean, structured datasets for reporting and analytics, • Comfortable working in a fast-paced, evolving data environment Nice to Have • Experience with Airflow or Dagster, • Working with JSON / semi-structured data, • Familiarity with CI/CD pipelines and Git Why Join • Work with high-volume, real-world marketing data across multiple platforms, • Opportunity to own and shape data models and pipelines, • Exposure to modern data stack (Snowflake + dbt + cloud), • Fast-paced environment with strong growth and learning opportunities

Position: Celonis Process Mining Data Engineer x2 Client: Investment bank Location: Central London Day rate: £700/day inside Initial duration: 6 months Our client provide technology services for a global investment bank. • Do you have Celonis Process Mining experience working on complex banking data?, • Can you contribute to building a data‑driven, insight‑led operating model within a highly regulated banking environment? If yes, then please read on..... The successful candidate (You) will have a minimum of 3+ years experience in data engineering for Celonis process mining, working in a regulated banking environment. A key part of your role will be to translate banking process data into actionable insights by building optimized Celonis data models and PQL logic that supports end‑to‑end visibility. Top 5 responsibilities: • Data Engineering & Event Log Construction, • Data Model & Data Pipeline Development, • Performance Optimization & Quality, • Collaboration & Technical Documentation, • Governance & Engineering Best Practices Experience: • 3+ years Celonis Process Mining experience, • Frameworks - CCPM & OCPM, • SQL, Python, data modeling, and ETL/ELT, • Experience handling large datasets, • Knowledge in Banking and KYC Ops If the above sounds like you and you're ready for your next contract position, please do send me your cv on here or email it to me at . After we've discussed the role over a call, I can send you a full job description and go through the company in more detail. Interview process will be a 2 stage, most likely both via MS Teams but the second may be in-person. Thank you for reading our advert and I looking forward to speaking with you soon. #celonis #processmapping #dataengineer #investmentbanking #londonjobs

Data Engineer | London Hybrid | £70,000–£100,000 + 30–40% Bonus I’m currently working with a well-established and growing business in the insurance market that is looking to hire a Data Engineer into its London team. This is a great opportunity for someone with 3+ years of data engineering experience who wants to work on both core data platform engineering and future-facing AI projects, including LLM-related work. The role will suit someone who enjoys building robust data pipelines and modernising data infrastructure, while also being excited by the chance to contribute to emerging AI initiatives. The role You’ll play a key part in designing, building and optimising scalable data pipelines and data architecture across a complex business environment. The team is looking for someone who can work across Python, SQL, ETL/ELT processes, Azure-based services and Power BI, while helping to improve data quality, reporting capability and overall accessibility of business-critical data. There will also be exposure to API integrations, cloud migration work, and the chance to support current and future AI use cases across the business. What they’re looking for • 3+ years’ experience in Data Engineering or a closely related role, • Strong experience with Python and SQL, • Experience building and maintaining data pipelines, • Exposure to Azure data services / cloud-based data environments, • Experience with tools such as Power BI, modern data stack tooling, and version control / CI/CD workflows, • Insurance or insurance broking experience Data background would be highly beneficial, but is not essential, • Someone who can engage with non-technical stakeholders and translate business needs into technical solutions, • Interest in AI projects, including LLMs and AI-assisted tooling Package • £70,000–£100,000 base salary, • 30–40% bonus, • Hybrid working, • 33 days holiday, with the option to buy 5 additional days, • Excellent pension, double matched by the company up to 10% This is a genuinely strong opportunity for a Data Engineer who wants a mix of: • core platform and pipeline ownership, • exposure to a complex, data-rich environment, • strong overall package and benefits, • involvement in current and future AI / LLM projects If this looks of interest, please apply with your most up to date CV

Data Engineer – Azure - Databricks / Fabric - Remote – up to £65,000 I’m currently supporting one of the UK's fastest-growing Microsoft data consultancies as they continue to scale their team. If you're a Data Engineer who wants to work on modern Azure projects, next‑gen lakehouse architectures, and large-scale transformation programmes, this one is worth a look. This consultancy is known for investing heavily in their people, offering real progression pathways, and giving engineers the chance to take ownership of meaningful, enterprise-grade work. If you're looking for a role where you can grow quickly and make a real impact, this could be a great fit. What You’ll Be Doing In this role, you’ll be central to designing and delivering modern data solutions for a range of clients: • Architect and deliver scalable data solutions using Databricks, Synapse, and Microsoft Fabric, • Build and optimise ETL/ELT pipelines and high-quality data models using SQL & Python, • Develop Power BI dashboards that support insight-led decision-making, • Implement data lakes and medallion lakehouse architectures, • Apply strong standards around data quality, governance, and security, • Work collaboratively in Agile, cross-functional teams, • Support major cloud migration and modernisation initiatives What’s In It for You • High-Growth Environment: You’ll work with cutting-edge Microsoft technologies on impactful projects across multiple industries., • Career Development: The business actively funds certifications, structured training programmes, and clear progression opportunities., • Fully Remote: Work from anywhere in the UK, travel is only required occasionally and covered by the company. You’ll be a great fit if you have: • Strong experience with Azure Synapse, Databricks, or Microsoft Fabric, • Solid SQL & Python skills for ETL/ELT development, • Experience working with data lakes and large datasets, • A good understanding of BI, data warehousing, and modern data architectures Interested? This team is one of the most in-demand in the Microsoft data space, and roles with them don’t stay open for long. • If you’d like to explore the opportunity, apply now!

This role is responsible for designing, building, and operating robust cloud-based data platforms that support large-scale analytics and reporting. You will work across the full data lifecycle, partnering closely with technical and non-technical stakeholders to deliver reliable, secure, and scalable data solutions. Key Responsibilities • Design, develop, and maintain scalable and reliable data pipelines using cloud-native services, • Build and optimise ETL/ELT workflows to support high-volume data ingestion and transformation, • Manage and process both structured and unstructured data, ensuring high standards of data quality and integrity, • Design and implement cloud-based data lake and data warehousing architectures, • Create and maintain analytical data marts using dimensional modelling techniques (e.g. star and snowflake schemas), • Work collaboratively with analysts, data scientists, and business stakeholders to translate requirements into technical solutions, • Monitor, troubleshoot, and optimise data pipelines with a focus on performance and cost efficiency, • Implement Infrastructure as Code (IaC) to support consistent and repeatable deployments, • Integrate CI/CD pipelines and support modern DevOps practices, • Ensure compliance with data governance, security, and regulatory standards, • Extensive experience in data engineering or related roles, including significant hands-on delivery within a cloud environment, • Strong practical experience with a broad range of cloud data and integration services, • Proven track record designing and implementing enterprise-scale data lakes and data warehouse solutions, • Advanced skills in SQL and Python, with experience using distributed processing frameworks such as Spark, • Demonstrated experience building analytical data marts and applying dimensional modelling principles, • Hands-on experience implementing Infrastructure as Code, ideally using Terraform or similar tooling, • Familiarity with DevOps concepts, CI/CD pipelines, and modern engineering practices, • Experience working with version control systems such as Git, • Relevant cloud or data certifications, • Background working in consulting or client-facing delivery environments, • Experience operating within large, complex, enterprise-scale data platforms

EFL Teacher – Young Learners (Summer Programme) 📍 London, UK 📄 Fixed-Term | Summer Programme 📅 Camp Dates: • 29 June 2026 - 14th August 2026 English Path is a rapidly growing international language school delivering immersive English language programmes across the UK, Europe, North America and the Middle East. We are currently seeking enthusiastic and experienced EFL Teachers to join our Young Learner Summer Programme in London. This is an exciting opportunity to teach international students in a vibrant, multicultural environment where learning takes place both inside and outside the classroom through project-based learning and cultural experiences. About the Role: As an EFL Teacher – Young Learners, you will deliver engaging English language lessons to students from diverse cultural backgrounds. You will follow the English Path syllabus while creating dynamic lessons that encourage communication, collaboration and cultural exploration. You will help ensure students have an enjoyable and rewarding learning experience, supporting their language development while contributing to the wider summer programme. Key Responsibilities: • Plan and deliver engaging lessons aligned with the English Path syllabus, • Ensure learning outcomes are achieved through effective teaching and assessment, • Maintain accurate records of student attendance and academic progress, • Use a variety of teaching techniques suitable for multilingual classrooms, • Support the development of teaching materials where required, • Participate in teacher meetings and professional development sessions (CPD), • Support the academic team with placement testing and assessments, • Contribute positively to the student experience and wider programme Essential Skills & Experience: ✔ CELTA / CertTESOL (or equivalent recognised TEFL qualification) ✔ Bachelor’s degree in any subject ✔ Experience teaching English as a Foreign Language ✔ Strong understanding of ELT methodology in multilingual classrooms ✔ Excellent communication and classroom management skills ✔ Ability to create a positive and engaging learning environment ✔ Organised and professional approach to lesson planning and reporting Desirable ⭐ Experience teaching young learners or teenagers ⭐ CELTYL or other young learner teaching qualification ⭐ DELTA / DipTESOL or higher TEFL qualification ⭐ Experience teaching in summer schools or international language schools ⭐ Experience using classroom technology or digital learning tools Safeguarding Commitment: English Path is committed to safeguarding and promoting the welfare of young people and vulnerable adults. All successful candidates will be required to undergo appropriate background checks including an enhanced DBS check prior to employment.

Company Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. Recognized by the Financial Times as one of the UK’s Leading Management Consultants 2025, Wavestone UK now boasts a team of 200 employees, with ambitions to rapidly grow in the coming years. Our services span business and digital transformation, cybersecurity, operational improvement, risk advisory, and IT advisory. We exist to provide end-to-end expert advice to clients across industries, with a particular focus on Insurance, Financial Services and Life Sciences – helping them to positively transform into modern, innovative organizations that thrive in a sustainable way. In 2025, we received the UK’s Great Place to Work accreditation, and we are proud to have been recognized in the following Best Workplaces categories: Large Organizations, Wellbeing, Development and Best Workplace for Women. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions. Job Description Becoming part of the UK team in our Data & AI Service Line will present new opportunities for you to make a positive impact as we embark on securing major projects with our top international clients. This will mean working with our FTSE100 clients and beyond on a wide range of advisory projects, bringing deep business and technology expertise to help address Data and AI opportunities and challenges across their organisations. Wavestone has a significant and growing capability in Data & AI that is in high demand from our clients. Our clients trust us to tailor advisory engagements to aid with some of their most complex data-related challenges, and as a result, we are growing our Data & AI service line to be able to respond to the increasing breadth and complexity of data-driven transformation initiatives Whilst we work across different sectors, we are particularly interested in speaking to people with a background in one or more of the following sectors: Banking, Insurance, Wealth & Asset Management, Life Sciences, Public Sector, Energy & Utilities. We are looking for talented and experienced Data & AI management consultants across various levels of seniority that are confident and capable of being a key trusted advisor to clients from the outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): • D&AI Strategy & Operating Model Design: Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that enable data democratisation., • D&AI Use Case Development & Value Realisation: End-to-end advisory from identifying high-potential AI/ML opportunities to developing business cases, prioritising implementation roadmaps, and establishing ROI measurement frameworks to track and demonstrate value., • D&AI Architecture & Platform Advisory: Combining architectural assessments with platform selection guidance, providing vendor-independent recommendations for optimal data ecosystem design., • Data Migration, Integration & Pipeline Support: Providing strategic guidance on data migration and integration approaches, logical pipeline design, and data flow orchestration, based on best-practice architectural patterns that enable seamless data movement across the organisation., • Insight Delivery & Visualisation Design: Comprehensive advisory on transforming data into actionable insights through effective dashboard design, visualisation best practices, and self-service analytics capabilities that drive data-informed decision making. Depending on your level of experience you will be expected to: • Lead & Deliver Engagements: Manage data strategy and architecture engagements with our clients, responsible for the day-to-day running of the engagements, likely acting as a trusted advisor to senior stakeholders., • Business Development: Be a subject matter expert leading and/or supporting sales activity across the full lifecycle from pre-sales support, identification of Data and AI opportunities through to scoping the delivery phase of engagements., • Thought leadership & Proposition Ownership: Be a key voice in our Data and AI community and externally, developing data-related propositions and approaches to common client challenges, sharing knowledge, and creating thought leadership and marketing materials that support sales efforts., • People Development: Act as an example and go-to for more junior members of the team, by sharing knowledge, mentoring, and leading by example. Possibly provide line management and career development directly as part of our career development manager framework., • Maintain Expertise: Stay current with the market, most especially in different data technologies, platforms, and solutions that are relevant to client challenges or needs. Qualifications To be considered for this role we would like coverage across a significant majority of the below: • Significant consulting experience, client-facing, or equivalent tenure in relevant industries with a focus on data and AI initiatives., • Demonstrable experience in data and / or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/ or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit., • Experience of helping organisations identify and prioritise high-value use cases for advanced analytics, machine learning and AI/GenAI., • Strong understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns., • Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management., • Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases and architectural choices., • Knowledge of data visualisation good practices and experience in designing effective dashboards and reporting solutions for effective decision making., • Familiarity with data product development methodologies and data monetisation strategies., • Experience with one or more cloud data platforms such as Snowflake, Databricks, or cloud-native data services in Azure, AWS, GCP., • Demonstrable experience in leading or delivering large data migrations and/or transformation programmes. Additional Information Our commitment: Wavestone values and Positive Way • Elevate client satisfaction by impacting high-growth business across US, UK, and Europe. Shape culture, enhance value propositions, and foster business development., • Nurture employee growth with Wavestone horizon career path, competitive compensation, transparent salary policy, tailored training, and internal mobility., • Embrace a collective mindset within a barrier-free, collaborative team. Engage in vibrant people culture through regular events, meetings, and committees., • Experience ethical responsibility with flexible work options, strong CSR commitment, and a culture promoting work-life balance and time-off. Benefits • Competitive salary and bonus scheme., • Income protection insurance, 5% company pension, private health and dental cover, life insurance, company share scheme., • Additional flexible benefits you can select from such as additional holidays, additional pension contributions, subsidized gym, subscriptions to wellbeing apps, Netflix, retail vouchers., • 25 days annual leave. Travel and Location • Employees are not required to work in a Wavestone office on a full-time basis but are required to commute to the office /client site, whenever necessary. Wavestone UK office is in the heart of the city of London., • Note: Mandatory 2-3 days per week in Wavestone office / client site during probation. Diversity and Inclusion At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion, Social Mobility and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, please reach out to us to discuss this.

Title: Executive Assistant Location: London, UK (hybrid) The Team This role will be supporting a small group of senior members, the Executive Assistant (EA) plays a pivotal role in enabling the effectiveness of the Client Strategy and Legal & Operations teams. This position ensures the smooth orchestration of daily operations, manages high-level administrative and strategic support, and facilitates strong communication across key stakeholders. The EA serves as a trusted gatekeeper, communicator, and coordination point for CCO priorities. ⸻ Responsibilities • Serve as the primary administrative and operational support to 3 MD's, including calendar management, travel planning, meeting coordination, and expense processing., • Coordinate materials for high-level meetings, including the ELT touchpoints, board presentations, and internal town halls., • Maintain confidentiality while handling sensitive information and ensure leaders are well-prepared for key engagements., • Assist with internal communications by drafting announcements, memos, and meeting summaries aligned to priorities and partner with internal communications for reviews and sign offs., • Foster an environment of collaboration and high performance, acting as a cultural ambassador for the the Chief Client Office., • On an ad-hoc basis, support broader Chief Client Office initiatives, in coordination and partnership with the EA team. Required Skills, Experience, and Knowledge • Education: Bachelor’s degree or equivalent experience in Business, Communications, Marketing, or a related field preferred, • Experience: 5+ years of experience in executive support roles, preferably within large, matrixed global organizations., • Exceptional organizational skills and attention to detail., • Ability to navigate complexity and prioritize effectively under pressure., • Strong written and verbal communication skills, with the ability to create clear, executive-ready deliverables., • High emotional intelligence, integrity, and discretion., • Comfortable using Microsoft Office Suite, Google Workspace, and collaboration tools like Slack, Asana, or Monday.com., • Preferred: Familiarity with marketing operations or corporate communications.

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world’s leading financial services firms to help them to operate more effectively. Expand’s activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we’re proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients’ needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We’re looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions – who also brings strategic product thinking and cross-functional leadership. In this role, you’ll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions • Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines, • Design and build robust ETL/ELT processes and data architectures using modern tools and techniques, • Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data, • Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security, • Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale, • Oversee day-to-day execution of product initiatives across cross-functional teams, • Lead by example to help foster a high-performing, collaborative, and agile culture, • Proactively identify and mitigate business, operational, and governance risks, • Work together with data scientists to understand analytical needs and curate high-quality data sets, • Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready, • Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data, • Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: • Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics, • Demonstrated success in launching and scaling technical products or platforms, • Strong programming skills in at least two of the following: Python, SQL, Java, • Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams, • Deep knowledge of database technologies:, • Distributed systems (e.g., Spark, Hadoop, EMR), • RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL), • NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j), • Solid understanding of software engineering best practices – code reviews, testing frameworks, CI/CD, and code maintainability, • Experience deploying applications into production environments, including packaging, monitoring, and release management, • Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders, • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, • Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts, • Strong understanding of data security, compliance, and governance best practices, • Experience leading or influencing cross-functional teams in a product or platform environment, • Strong stakeholder management and communication skills Additional info At Expand we’re proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients’ needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. If you’re a quick learner, conscientious and friendly, you might be just the person we’re looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.\n BCG is an E - Verify Employer. Click here for more information on E-Verify.

Position: Celonis Process Mining Data Engineer x2 Client: Investment bank Location: Central London Initial duration: 6 months Our client provide technology services for a global investment bank. • Do you have Celonis Process Mining experience working on complex banking data?, • Can you contribute to building a data‑driven, insight‑led operating model within a highly regulated banking environment? If yes, then please read on..... The successful candidate (You) will have a minimum of 3+ years experience in data engineering for Celonis process mining, working in a regulated banking environment. A key part of your role will be to translate banking process data into actionable insights by building optimized Celonis data models and PQL logic that supports end‑to‑end visibility. Top 5 responsibilities: • Data Engineering & Event Log Construction, • Data Model & Data Pipeline Development, • Performance Optimization & Quality, • Collaboration & Technical Documentation, • Governance & Engineering Best Practices Experience: • 3+ years Celonis Process Mining experience, • Frameworks - CCPM & OCPM, • SQL, Python, data modeling, and ETL/ELT, • Experience handling large datasets, • Knowledge in Banking and KYC Ops If the above sounds like you and you're ready for your next contract position, please do send me your cv on here or email it to me at . After we've discussed the role over a call, I can send you a full job description and go through the company in more detail. Interview process will be a 2 stage, most likely both via MS Teams but the second may be in-person. Thank you for reading our advert and I looking forward to speaking with you soon. #celonis #processmapping #dataengineer #investmentbanking #londonjobs

Job Title: Data Engineer (Mid-Level) Location: London (Hybrid 1 Day PW) Salary: £70,000 About the Role We’re looking for a Data Engineer to help build and scale our data platform. You’ll design pipelines, support analytics and ML use cases, and ensure data is reliable and production-ready. What You’ll Do • Build and maintain scalable ETL/ELT data pipelines, • Work with stakeholders to deliver clean, usable datasets, • Optimise data systems for performance and reliability, • Implement data quality checks and monitoring, • Support and develop our GCP data infrastructure What We’re Looking For • 2–5 years’ experience in Data Engineering, • Strong Python and SQL skills, • Hands-on experience with Google Cloud Platform (GCP), • Experience with data warehousing and pipeline tools, • Strong problem-solving and collaboration skills If this is of interest please apply and I will call to discuss.

Senior Data Engineer - Contract (outside IR35) We’re hiring a Senior Data Engineer to join a leading global organisation, helping to build and enhance a modern data platform within the insurance sector. London Market Insurance experience is essential. The role You’ll design and develop data pipelines using ETL/ELT, ensuring strong standards in testing, reconciliation, and documentation. You’ll contribute to data modelling, support data delivery, and build APIs/services for stakeholders. You’ll also collaborate across teams, promote best practices, and mentor junior colleagues in an Agile environment. Key requirements • London Market Insurance experience (must-have), • Advanced T-SQL, SSIS, Azure Data Factory, • Power BI/SSRS, MDX/DAX, • Strong data modelling, • Experience with Azure & on-prem SQL, • Azure DevOps, data APIs, solid documentation/testing practices Desirable: Python/PySpark, Databricks, ML exposure A great opportunity to shape a growing data platform in a collaborative, forward-thinking team.

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

The team you’ll be joining EML Payments is a global leader in payments transaction technologies, turning everyday interactions with businesses into exceptional experiences. We are an ASX listed global tech company - and we run the everyday transactions that make your life easier. EML is an issuer and processor of prepaid financial cards, ranging from reloadable cards through to traditional, single-store gift cards. We run in the background behind gift card, salary packaging and employee rewards programs and our headquarters are located in Brisbane, Australia, with approximately 450 employees across Australia, North America, and the UK/EU. We have clients in 27 countries with tractions over AUD120B annually. Our place is one of collaboration, teamwork & innovation. But, above all, it’s one that embraces difference. And rather than have you blend in, we want to help you unleash your full potential. The Role This role is responsible for leading EML’s global People & Culture (P&C) Shared Services function, delivering scalable, efficient and high-quality services that support business growth, compliance and an exceptional employee experience. As a key member of the P&C Leadership Team, you will drive the transformation of P&C service delivery through process optimisation, digital enablement and service model design. You will lead core shared service functions including People Systems, Talent Acquisition, Payroll, and employee lifecycle services, ensuring consistent and seamless delivery across all regions. Key Responsibilities Systems, Data and Reporting • Own global P&C systems (Rippling HRIS), ensuring accurate maintenance of employee records, data integrity and governance., • Champion the digital transformation of P&C shared services through automation, AI and self-service tools., • Own and deliver monthly P&C reporting to the Executive Leadership Team and Board., • Provide data-driven insights and forecasts to inform strategic decision-making., • Partner with the P&C Business Partnering team to design and deliver employee experience surveys and insights., • Manage the delivery and reporting of the annual Employee Engagement Survey., • Establish and maintain a centralised knowledge base and process documentation to support operational consistency and onboarding. Talent Acquisition (Shared Service) • Lead the Talent Acquisition function as a core shared service, delivering efficient, high-quality and scalable recruitment solutions., • Partner with hiring managers to ensure hiring outcomes align to workforce plans and organisational needs., • Manage the recruitment budget, optimising the balance between in-house capability and external agency support., • Develop and execute talent acquisition strategies that strengthen employer brand, candidate experience and diversity, equity and inclusion., • Lead the development of compelling external communications (e.g. careers website, job ads, candidate experience and communications)., • Enhance the visibility and effectiveness of internal communications (e.g. job ads, referral program, promotions/movements of internally filled roles) Payroll and Benefits • In partnership with Finance, oversee global payroll and benefits administration, ensuring accuracy, timeliness and compliance across all jurisdictions., • Champion cost-effective benefits programs and drive employee understanding and utilisation of available benefits., • Partner with the Head of Remuneration, Performance & Reward to manage pay increases and non-fixed remuneration payments to employees. Policy and Compliance • Establish and maintain P&C policies, procedures and controls to ensure regulatory compliance and risk management., • Ensure global and regional compliance with legislative and regulatory requirements., • Maintain P&C documentation in line with evolving business and legislative needs., • Provide guidance to leaders and employees on policy application., • Take personal responsibility to adhere to all regulatory requirements and apply appropriate controls. People Leadership • Lead and develop a global Shared Services and Talent Acquisition team., • Foster a high-performance, service-oriented culture focused on accountability and continuous improvement., • Provide coaching, mentoring and development opportunities to team members., • Conduct regular performance and development discussions, including bi-annual reviews., • Effectively manage performance and behavioural concerns. Stakeholder Engagement and Influence • Build strong relationships with the ELT, senior leaders and P&C stakeholders to align on service delivery priorities., • Act as a trusted partner in optimising P&C processes, systems and service models., • Influence stakeholders through data, insights and operational expertise. What you’ll bring To be successful in this role, you will have: • Proven experience leading P&C Shared Services or People Operations functions in a global company., • Demonstrated success in designing and scaling shared services delivery models., • Strong understanding of P&C technologies including HRIS (Rippling preferred), ATS, payroll systems and emerging tools such as AI., • Experience driving digital transformation, automation and process optimisation., • Strong knowledge of global payroll, benefits administration and compliance requirements., • Track record of ensuring compliance across multiple jurisdictions., • Data-driven mindset with strong capability in reporting, analytics and workforce insights., • Strong stakeholder engagement and communication skills, with the ability to influence at senior levels., • Commitment to service excellence and continuous improvement., • Strong project management and change leadership capability., • Proven ability to lead, develop and inspire high-performing teams., • A proactive, innovative and solutions-focused approach What you’ll be offered • Recharge and Give Back: 25 days annual leave, 2 volunteering days, your birthday off – plus 5 extra ‘Take5’ days when you’ve used your core leave!, • Global Opportunities: Collaborate across Australia, the UK, North America, and Europe – with secondment opportunities available., • Work Your Way: Hybrid working that fits your lifestyle and empowers smarter working., • Family First: Enhanced family leave options with 12-weeks full pay for Primary Caregivers, and 4-weeks full pay for Secondary Caregivers., • Invest in You: We cover your professional memberships and offer a competitive pension scheme., • Wellbeing Matters: Private medical insurance, long-term illness cover, and life assurance., • Perks & Rewards: Short-term bonus scheme, Cycle2Work, 24/7 Employee Assistance Programme, and exclusive discounts via Spectrum.Life’s BenefitsHub. EEO Statement Integrated into our Core Values is EML's commitment to diversity and inclusion. EML is committed to being a globally inclusive company where all people are treated fairly, recognised for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences. This concept encompasses but is not limited to human differences with regard to race, ethnicity, religion, gender, culture, and physical ability. Every individual at EML has an ongoing responsibility to respect and support a globally diverse environment.

Our client, a leading name in global financial markets, is expanding its Communications Surveillance and Record Keeping Technology function in response to increasing regulatory scrutiny. With regulators worldwide elevating expectations around Market Abuse monitoring and robust Record Keeping controls, this is a critical and high-profile hire. We are seeking an exceptional Principal Engineer to play a central technical leadership role within their Surveillance Technology team. This is an opportunity to influence strategy, shape engineering standards, and drive innovation across a complex, business-critical technology landscape. The Opportunity Communication Surveillance and mobile capture capabilities now sit at the forefront of internal and external regulatory enquiries. As the Principal Engineer, you will act as the technical authority for a major Communications Surveillance Technology programme—leading architectural decisions, engineering best practice, and the design of next-generation solutions. This role is ideal for a senior technologist who is hands-on, passionate about Surveillance and Record Keeping technologies, and capable of influencing cross-functional teams in a fast-moving environment. Key Responsibilities • Serve as the primary technical leader within the Surveillance Technology team., • Provide expert oversight across analysis, architecture, design and delivery of complex systems., • Architect, build, and evolve scalable, high-performance solutions for Communications Surveillance and Record Keeping., • Lead engineering standards: architecture reviews, vendor assessments, impact analysis, and automated testing., • Mentor and develop engineering talent, fostering a culture of continuous learning., • Champion innovation by evaluating new technologies and methodologies within Surveillance and Record Keeping., • Translate complex technical concepts for both technical and non-technical stakeholders., • Support agile planning, estimation and prioritisation., • Identify opportunities for system optimisation, refactoring, and alignment to target architectures., • Manage technical risks, issues and dependencies., • Benchmark against peer organisations to ensure alignment with regulatory and industry expectations. Experience & Competencies Essential • Proven experience within Communications Surveillance Technology., • Strong background in technical leadership within software delivery teams., • Hands-on expertise across the full software development lifecycle., • Deep knowledge of at least one leading Communications Surveillance platform., • Familiarity with Regex, SQL, and Boolean search concepts., • Strong understanding of distributed systems, information security, and cloud technologies., • Experience with major communication platforms and capture solutions (e.g., Bloomberg, LSEG, ICE, Symphony, whats app, WeCom, Smarsh, Global Relay, Behavox)., • Experience with communications data structures, ETL/ELT pipelines, and data integrity standards., • Strong understanding of CI/CD practices and agile methodologies., • Excellent communication and stakeholder-management skills. Desired • Understanding of financial markets or trading systems., • Knowledge of FCA Market Abuse Regulation., • Experience in performance optimisation and profiling., • Familiarity with modern UI frameworks (React, Typescript)., • Exposure to containerisation and orchestration tools., • Understanding of architectural frameworks and best practices., • Knowledge of AWS or other cloud platforms.

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We are seeking a Contract Data Integration Engineer within a niche team to provide data/integration, data quality, pipelines and integration layers to clients' platforms. Entailing pipeline development and maintenance, data quality profiling and monitoring, reconciliation and enrichment workflows, graph modelling, and stakeholder reporting on metrics. Ideally you will possess data quality analyst capabilities and/or focus on pipeline architecture, Kafka integration patterns, and export service development. These roles will entail writing production code, both will engage with data quality, and both will contribute to the broader service codebase. Our Contract Assignments are Inside IR35, hybrid working. Initially 6-9 months. About the role/Experience with: • Experience with Python for data pipelines, export services, ETL, reconciliation, profiling scripts, • Data quality assessment, • Apache Kafka, • PostgreSQL for data modelling, query design, migrations etc, • Data modelling and schema design, • Experience of C# to be able to contribute to existing service/integration codebase, • Memgraph or other graph databases / Cypher, • Jupyter notebooks; ETL/ELT; Git/GitHub workflows and automated testing, • Elasticsearch, Data visualisation, CI/CD About you (ideally): As a Data Integration Engineer you’ll be integral to our client facing delivery teams, working with clients to design and build their technology enabled platform solutions. ● You will be responsible for providing technical thought leadership on client engagements ● You will actively contribute to development team activities and technical solutions where strong attention to detail is required ● You will be hands on in projects, taking a lead in the design and development of solutions as well as providing technical guidance and validation to the wider team, working on critical cloud-based complex application solutions that can be deployed automatically ● You will be responsible for stakeholder management, building client relationships and identifying new opportunities We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region. Why work at GlobalLogic. Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.

Data & Integration Analyst £55,000- £65,000 Hybrid role: office based in London Stanton House is partnering with a growing organisation in the real estate space to hire a Data & Integration Analyst who will play a key role in developing their data platform, improving system integrations, and enabling high‑quality reporting across the business. In this role, you’ll build and maintain data pipelines, integrate multiple SaaS systems, support BI reporting, and ensure data is accurate, accessible, and trusted. You’ll work closely with both technical teams and business stakeholders to deliver meaningful insights and automate key data processes. Key Responsibilities • Support the development and maintenance of the data warehouse, • Organise and model data to enable reporting, analytics, and dashboards, • Maintain documentation for core datasets, • Build and enhance BI dashboards and reports (e.g., Power BI), • Work with stakeholders to gather reporting and data requirements, • Ensure reporting outputs are accurate, consistent, and reliable, • Design and maintain data integrations between core systems, • Build and manage ETL/ELT pipelines, • Use APIs and integration tools to automate data flows, • Monitor and troubleshoot pipelines to ensure accuracy and uptime, • Implement integrations across key platforms (e.g., CRM, finance, property/asset management, marketing, operational systems), • Automate workflows to improve cross‑system data consistency, • Monitor and improve data quality across all systems, • Resolve data issues with system owners, • Contribute to data standards, documentation, and governance processes, • Identify opportunities to automate manual data and reporting tasks, • Improve efficiency and reliability of data workflows, • Support initiatives that advance the organisation’s data maturity Experience Required • Strong SQL and relational database experience, • Hands‑on experience with ETL/ELT and API integrations, • Proficiency with BI tools (Power BI, Metabase, etc.), • Experience working with multiple SaaS platforms, • Data modelling and documentation, • Experience with low‑code integration tools (e.g., Zapier) beneficial, • Background in property, real estate, hospitality, or multi‑site operations is beneficial

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.

Copilot consultant At KPMG Microsoft Business Solution we implement best in class solutions across the Microsoft technology stack. We have extensive knowledge and expertise in all areas, enabling us to provide our clients with an integrated end-to-end solution. Our solutions are based on the Dynamics 365, Microsoft 365 and Azure range of products which enables us to deliver, powerful, connected business solutions that drive significant client value. The Role: We are looking for a client-facing Data Consultant who can design, build, and optimise modern data platforms and analytics solutions using the Microsoft data stack, with a strong emphasis on Microsoft Fabric. You’ll work across data ingestion, transformation, modelling, governance, and visualisation—translating business needs into robust, secure, scalable solutions that deliver measurable outcomes. This person must be comfortable speaking to client and internal teams on technical matters. The Consultant will be responsible for: • Delivery & Engineering, • Design, build, and optimise data pipelines and architectures using Microsoft Fabric and adjacent Azure data services., • Implement ingestion and transformation patterns in Fabric using Lakehouse, Pipelines, and Notebooks, ensuring data is accessible, well-organised, and high-quality., • Build and maintain scalable data processing systems that transform complex datasets into trusted, analytics-ready assets., • Establish practices for data quality measurement, monitoring, and feedback loops across ingestion/migration activities., • Analytics & Semantic Modelling, • Create and enhance Power BI semantic models (relationships, measures, security rules)., • Implement data-access controls for analytical consumption (e.g., row-level/object-level security patterns in semantic models)., • Develop insightful reporting and analytics experiences in Power BI to augment client decision-making and operational outcomes., • Architecture, Governance & Standards, • Translate business requirements into end-to-end data architecture, balancing performance, cost, security, and maintainability., • Apply and advise on security patterns and contribute to governance-by-design., • Enforce technical documentation standards, architectural artefacts, and implementation patterns that improve repeatability and delivery quality., • Consulting, Stakeholders & Pre-sales, • Engage stakeholders to shape problem statements, clarify requirements, and define pragmatic delivery approaches., • Support scoping, estimation, and delivery planning; produce high-quality client-facing documentation and presentations., • Collaborate with adjacent teams (e.g., Dynamics/Power Platform/AI) to integrate analytics and data capabilities into broader solutions., • Stay current with Fabric capabilities and the evolving Microsoft data ecosystem, bringing innovation into client solutions. Required Skills & Experience • Microsoft Data Stack, • Hands-on experience delivering data solutions with Microsoft Fabric, including Lakehouse, Pipelines, and Notebooks/Spark-based processing., • Strong capability in data pipeline and architecture design and optimisation across Microsoft tooling (Fabric and/or other Azure services)., • Strong Power BI capability (reporting + modelling) and ability to connect engineering outputs to analytics consumption., • Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules)., • Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets., • Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback mechanisms., • Consulting & Communication, • Strong written and verbal communication, able to present technical concepts clearly to mixed audiences., • Strong relationship-building and stakeholder management in complex client environments., • Code Management, • CI/CD for Fabric items., • Git-based workflow., • Testing frameworks., • Performance tuning patterns., • Cost/capacity optimisation. Desirable Skills & Experience • Experience across adjacent Microsoft services often paired with Fabric (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake)., • Familiarity with Microsoft Purview and broader governance practices., • Dynamics 365 CE and FO integration and analytics., • Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML / AI Foundry / Azure OpenAI), particularly where analytics feeds AI-powered apps., • Experience designing BI / data analytics solutions and enforcing architecture/documentation standards. The Person: • Strong technical skills., • Experience of delivering client engagements., • Experience in a consultancy or customer facing role., • An intelligent, analytical and pragmatic approach to problem solving., • Excellent relationship building skills with clients and colleagues., • Excellent interpersonal skills and the ability to influence and manage a range of relationships in a complex environment., • Strong communication skills (verbal, written and listening): an ability to present information concisely, to communicate in a manner applicable to all levels., • Able to produce high quality and professional technical documentation., • Excellent attention to detail and ability to ensure documents are consistent in language, terminology and style., • Flexible approach to work with a focus on delivery to deadlines and high standards., • Ability to handle highly confidential information with tact and discretion.

This is a rare opportunity to apply serious data engineering in a domain where latency, correctness, and reliability carry direct commercial weight.\n * Requirements\n * 6+ years data engineering in production environments; Python expertise - idiomatic, well-tested, production-grade code, not notebook scripts\n * ETL/ELT pipeline design and implementation at scale; orchestration with Airflow, Prefect, or equivalent; reliability-first mindset including backfill, retry, and exactly-once semantics\n * Azure data platform - Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage; infrastructure as code for data workloads (Terraform or Bicep)\n * Databricks - Delta Lake, Unity Catalog, job cluster vs interactive cluster trade-offs, cost-aware compute management, Spark job optimisation\n * Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads\n * MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call\n * Containerisation: Docker and Kubernetes-based deployment of data workloads; reproducible, environment-agnostic data infrastructure\n * Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis\n * Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput vs latency trade-offs in pipeline design\n * Production data observability - data lineage, quality checks, SLA monitoring, alerting on freshness and completeness; treating data correctness as a first-class concern\n * CI/CD for data infrastructure - version-controlled pipelines, automated data quality testing, reproducible and auditable deploys\n * Ability to work directly with quant researchers, risk managers, and traders - translate business requirements into reliable, well-documented data products\n * Nice to Have\n * Financial markets data - market data feeds (Bloomberg, Refinitiv), tick data, trade history, reference data, or instrument master management\n * Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem\n * dbt or equivalent SQL transformation layer; experience building and maintaining dbt projects in a production data warehouse\n * Event streaming with Kafka or Confluent Platform - topic design, consumer group management, exactly-once delivery guarantees\n * OLAP-optimised stores - ClickHouse, DuckDB, or equivalent; understanding of columnar storage and vectorised query execution\n * Energy, commodities, or broader financial markets domain knowledge\n * What We're Looking For\n * You treat data as a product, not a side effect. You know what it takes to make a pipeline trustworthy - not just running, but observable, tested, and recoverable when something upstream changes at 3am. You think in systems: schema evolution, lineage, freshness SLAs, and the downstream impact of every modelling decision. At ETrading , that data is the foundation of billion-dollar trading decisions. You are the reason it is right.\n\nTo find out more about Huxley, please visit \n\nHuxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Senior Data Engineer | GCP | Build Modern Data Platforms Contract - 6 Months Inside IR35 £625 per day Remote We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks. What you’ll be doing: • Designing and building ETL/ELT pipelines, • Developing scalable data workflows on GCP, • Implementing robust data ingestion frameworks, • Working with structured and semi-structured data, • Collaborating with Data Modelling & Analytics teams, • Driving data reliability, monitoring, and observability, • Automating deployments and workflows, • Contributing to tooling and framework decisions What we’re looking for: • Strong ETL/ELT pipeline experience, • Proven GCP data services expertise, • Strong SQL and data transformation skills, • Experience with orchestration and pipeline automation, • Background in modern data architectures (lakehouse/warehouse), • Proactive, ownership-driven mindset Nice to have: • Data Vault 2.0 exposure, • BigQuery optimisation experience, • Open-source data framework experience, • CI/CD for data pipelines If you’re interested in building scalable, modern data platforms, feel free to reach out or apply.

We have an exciting opportunity for a Quality Assurance Manager to join Veramed on a permanent basis in the UK. This role offers flexible home and/or office working, best‑in‑class training, and a competitive total reward package. The primary purpose of this role is to support the Director, Quality & Compliance in the delivery of Quality Assurance activities and the ongoing oversight, maintenance and improvement of the Quality Management System. You will play a key role in ensuring compliance with applicable regulations and internal procedures, supporting audits and inspections, contributing to continuous improvement initiatives, and promoting a culture of quality across the business. The role offers scope to take ownership of key QA processes and to work closely with stakeholders across the organisation to drive high standards of quality and compliance. Key Responsibilities The tasks listed below outline the scope of this position. The application of these tasks may vary, based on current business needs. Quality Assurance: • Management of the Quality Management System., • Contribute to the generation and management of the internal audit schedule., • Independently conduct and report audits in accordance with the internal audit schedule., • Conduct Vendor Audits as instructed., • Lead, manage and coordinate client audits and Regulatory inspections., • Respond to and follow up on audit reports and vendor questionnaires., • Review and QA approval of SOPs and other controlled documents., • Effectively monitor compliance to processes., • Provide input for and maintain oversight of CAPAs and Quality Issues., • Generate Quality metrics reports to provide updates to the Management Team on quality related issues and initiatives., • Ensure company-wide compliance to EU and UK clinical trial legislation, ICH GCP and other applicable legislation., • QA review of Computerised Systems Validation (CSV) projects., • Perform risk assessments where required. Quality Improvement: • Empowered to promote good practice by challenging standards within the workplace and by suggesting areas for improvement., • Inspire and drive company to achieve and maintain quality values., • Review of lesson learned meetings, customer concerns, issues and CAPAs for quality-related items and responsibility for coordinating any resulting training or process updates. Training and Development: • Development, coordination and delivery of training materials related to quality, including GCP., • Perform work in full compliance with applicable legislation, regulations, company policies, procedures and training. Data Protection: • Assist DPO with Data Protection activities., • Ensure adherence to applicable legislation, including GDPR. Information Security: • Assist in hosting ISO27001 accreditation and subsequent surveillance audits., • Review SOPs for Information Security compliance, and/or where required, draft new SOPs/POLs on this topic., • Conduct IS audits – internal and vendors., • Support Information Security Assessments (of Veramed)., • Conduct Information Security Assessments of potential vendors., • Assist with management of potential and actual data breaches, in conjunction with ISSC, ELT and DPO. Minimum Qualification Requirements • Training and at least 2 years’ experience in Good Clinical Practice., • At least 5 years’ relevant QA experience, preferably within the life sciences sector. Other Information/Additional Requirements • Expert knowledge of UK, EU and US clinical trial legislation., • Able to communicate effectively and influence across and within the organization., • Excellent written and verbal communication skills., • Excellent interpersonal and negotiation skills. If you’re passionate about quality and want to make a meaningful contribution within a people‑focused organisation, we’d love to hear from you! At Veramed, people are at the heart of everything we do. We are proud to be an equal opportunities employer and are committed to creating an inclusive working environment based on integrity, honesty and respect. All qualified applicants will receive equal consideration for employment regardless of race, nationality, religion, gender identity or expression, sexual orientation, disability or any other protected characteristic.

Role Summary Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualize and design data foundations and end-to-end solutions, including data platforms, to maximize value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions. Required skills and experience • Strong proficiency with cloud platforms: AWS, Azure, SAP, • Expertise in ELT development and automation with scalable pipeline design, • Mastery of data modeling techniques, • Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift), • Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest, • Proven ability to coordinate incident, problem, and change management processes, • Strong communication skills with both technical and non-technical stakeholders, • Demonstrated experience in technical documentation and maintaining high-quality solution documentation Desired skills and experience • Experience in project management or leading Agile/Scrum teams, • Experience with financial or operational planning tools (e.g., SAP BPC), • Familiarity with external partner ecosystems and cross-functional delivery models, • Ability to mentor and guide junior engineers, • Experience contributing to enterprise-scale data transformation projects, • Knowledge of trading, supply, or energy domain data models, • Experience with MKDocs documentation Role Responsibilities • Design and deliver scalable, cloud-based data engineering solutions, • Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure, • Manage data ingestion, integration, and transformation workflows while ensuring high standards of data quality, governance, and performance, • Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and solutions, • Act as a subject matter expert, mentoring junior engineers and providing technical guidance, • Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution, • Present technical findings, reports, and recommendations to stakeholders, • Drive implementation efficiency across pilots and enterprise projects to maximize value delivery, • Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)

Our client, a leading name in global financial markets, is expanding its Communications Surveillance and Record Keeping Technology function in response to increasing regulatory scrutiny. With regulators worldwide elevating expectations around Market Abuse monitoring and robust Record Keeping controls, this is a critical and high-profile hire. We are seeking an exceptional Principal Engineer to play a central technical leadership role within their Surveillance Technology team. This is an opportunity to influence strategy, shape engineering standards, and drive innovation across a complex, business-critical technology landscape. The Opportunity Communication Surveillance and mobile capture capabilities now sit at the forefront of internal and external regulatory enquiries. As the Principal Engineer, you will act as the technical authority for a major Communications Surveillance Technology programmeleading architectural decisions, engineering best practice, and the design of next-generation solutions. This role is ideal for a senior technologist who is hands-on, passionate about Surveillance and Record Keeping technologies, and capable of influencing cross-functional teams in a fast-moving environment. Key Responsibilities • Serve as the primary technical leader within the Surveillance Technology team., • Provide expert oversight across analysis, architecture, design and delivery of complex systems., • Architect, build, and evolve scalable, high-performance solutions for Communications Surveillance and Record Keeping., • Lead engineering standards: architecture reviews, vendor assessments, impact analysis, and automated testing., • Mentor and develop engineering talent, fostering a culture of continuous learning., • Champion innovation by evaluating new technologies and methodologies within Surveillance and Record Keeping., • Translate complex technical concepts for both technical and non-technical stakeholders., • Support agile planning, estimation and prioritisation., • Identify opportunities for system optimisation, refactoring, and alignment to target architectures., • Manage technical risks, issues and dependencies., • Benchmark against peer organisations to ensure alignment with regulatory and industry expectations.Experience & CompetenciesEssential, • Proven experience within Communications Surveillance Technology., • Strong background in technical leadership within software delivery teams., • Hands-on expertise across the full software development lifecycle., • Deep knowledge of at least one leading Communications Surveillance platform., • Familiarity with Regex, SQL, and Boolean search concepts., • Strong understanding of distributed systems, information security, and cloud technologies., • Experience with major communication platforms and capture solutions (e.g., Bloomberg, LSEG, ICE, Symphony, whats app, WeCom, Smarsh, Global Relay, Behavox)., • Experience with communications data structures, ETL/ELT pipelines, and data integrity standards., • Strong understanding of CI/CD practices and agile methodologies., • Excellent communication and stakeholder-management skills. Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description. Desired • Understanding of financial markets or trading systems., • Knowledge of FCA Market Abuse Regulation., • Experience in performance optimisation and profiling., • Familiarity with modern UI frameworks (React, Typescript)., • Exposure to containerisation and orchestration tools., • Understanding of architectural frameworks and best practices. xrnqpay, • Knowledge of AWS or other cloud platforms.

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.

About the Role We’re partnered with a growing, data-led technology business that is scaling its data capabilities and investing heavily in how data is structured, accessed and used across the organisation. We are looking for a Data Analyst with experience in Analytics Engineering & BI Development with strong SQL expertise at the core of their skillset. This role sits at the intersection of data engineering and business intelligence, combining hands-on data transformation with impactful reporting and visualisation. You’ll play a key role in shaping how data is modelled, consumed and leveraged by teams across the business, enabling better and faster decision-making. The Opportunity This role is ideal for someone who: • Enjoys working deeply with data using SQL, • Wants ownership over how data is structured and delivered, • Is comfortable bridging technical and business teams, • Likes seeing their work directly influence commercial and operational decisions Key Responsibilities • Design and develop scalable data models within a cloud-based data warehouse, • Write, optimise, and maintain complex SQL queries for data transformation and analysis, • Build clean, reliable datasets to support reporting and analytics use cases, • Develop dashboards and reports using modern BI tools, • Translate business requirements into clear, user-friendly data outputs, • Partner with stakeholders across product, commercial, and operations teams, • Implement data quality checks to ensure accuracy and consistency, • Improve performance of queries, pipelines, and reporting outputs, • Identify opportunities to automate and streamline data processes What We’re Looking For Core Experience (Essential) • Strong SQL skills (this is critical) — proven ability to write complex queries (CTEs, window functions, optimisation, performance tuning), • Experience building and maintaining data models for analytical use, • Background in a BI / Analytics Engineering / Data Analyst type role, • Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.), • Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks), • Understanding of ETL/ELT processes and data transformation workflows, • Experience working with non-technical stakeholders and translating requirements Nice to Have • Experience with modern data transformation tools (e.g. dbt or similar), • Exposure to workflow orchestration tools, • Familiarity with version control (e.g. Git) Key Skills & Attributes • Highly analytical with strong problem-solving ability, • Excellent attention to detail, particularly around data accuracy, • Strong communication skills — able to explain complex data clearly, • Commercial awareness and ability to link data to business outcomes, • Proactive mindset with a sense of ownership, • Collaborative approach, working effectively across teams The Package • Up to £65K base salary, • Private Health and Dental, • Generous Pension scheme, • Income protection, • Many other great benefits... Why Join? • Opportunity to shape and influence a growing data function, • High-visibility role with direct impact on business decisions, • Modern data stack and strong investment in data capabilities, • Flexible working environment (remote or hybrid available), • Collaborative, forward-thinking culture, • Vast amounts of career opportunities

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 soluti...

About us HDI is a Corporate & Specialty Insurer part of the Talanx Group. With over 120 years of experience, HDI operates across five continents, around 40 countries and employs over 5,000 people worldwide. The role The Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines and cloud-based data infrastructure to support analytics, reporting, data modelling, underwriting insights, and regulatory needs across HDI UK&I. This role ensures timely, trusted, well-structured data delivery into appropriate data marts & warehouses, and downstream data feeds which are used by Actuarial, Finance, Operations, and Underwriting. The position forms a core part of HDI's data transformation agenda, enabling improved decision-making, automation, and analytics maturity. Key accountabilities Data Pipeline Engineering & Integration • Design, develop, and maintain end to end ingestion pipelines into appropriate data technologies such as Snowflake from internal systems (policy admin, claims, finance) and external data sources., • Build orchestrated ELT/ETL processes using modern tooling and best practice engineering patterns., • Implement incremental refresh, schema evolution management, and data validation tests., • Ensure data availability aligned to business SLAs (e.g., dai...

Data Engineer IAM / Security Data London / Hybrid 12 month contract Were looking for a hands-on Data Engineer to support a major Identity & Access Management data programme within a complex enterprise environment. This is not a generic data engineering role. Youll be working on data pipelines, models and automation tied to identity, access, privileged accounts, controls, metrics and reporting. The right person will be comfortable sitting between data engineering and security / IAM teams. What youll be doing • Build and maintain ETL / ELT pipelines using Azure Data Factory, Databricks and SQL Server, • Develop and support data models, reporting layers and curated datasets for IAM / access related use cases, • Work with data linked to users, roles, entitlements, access controls, privileged accounts and audit requirements, • Automate ingestion, transformation and validation of data from enterprise systems, • Support governance, lineage, quality controls and operational monitoring, • Work closely with IAM, security, infrastructure and data stakeholders in an a...

Data Engineer – Azure Data Platform. Our client is hiring a Data Engineer to help build and scale enterprise-grade data solutions on the Microsoft Azure platform. Design and develop ETL/ELT pipelines within Azure.

Senior Data Engineer – Databricks Location:Remote UK or office based (opportunity to work remotely or be office based depending on your preference) Salary: £50k - £64k plus benefits Type: Full-Time ARCA Resourcing is proud to be partnered with an innovative leading retailer that’s transforming how data powers decision-making. We’re seeking a Senior Data Engineer to take a technical leadership role within their modern Enterprise Data Platform. If you thrive in shaping scalable, innovative data solutions and mentoring talented engineers, this is your opportunity to make a real impact. About the Role As a Senior Data Engineer, you will drive the design and implementation of robust, high-performance data solutions. You will work hands on with Databricks to deliver industrialised pipelines and data science model feeds. You will also mentor junior engineers, champion best practices, and ensure technical excellence across all deliveries. What You’ll Do • Lead the technical delivery of data initiatives in a collaborative squad environment., • Translate functional designs into scalable, reusable technical solutions., • Build and test high-performance ELT pipelines in Databricks., • Mentor junior engineers and promote engineering best practices., • Ensure high quality, ...

Based - St Albans, AL1 2RE (Hybrid 50%) Do not pass up this chance, apply quickly if your experience and skills match what is in the following description. Permanent, Full Time Join Premier Foods - where people, brands and purpose come together. We're proud to be one of the UK's largest listed food businesses, with over 4,000 colleagues across 13 sites shaping the future of some of Britain's best-loved brands, found in 94% of households nationwide, making us one of the UK's top three ambient food suppliers. From much-loved household names such as Mr Kipling, Bisto, Oxo, Batchelors and Sharwoods, to our recently welcomed brands Fuel10k and Merchant Gourmet, our portfolio is packed with iconic favourites - and continues to grow. We're entering an exciting new phase of our growth, driven by a bold 10-year vision to become a significantly bigger, more international business, operating in high-growth categories and continuously pursuing M&A opportunities. To make this ambition a reality, building world-class commercial capability across Marketing and Sales is critical. We're now looking for a Commercial Capabilities Controller to lead this agenda - a high-impact role at the heart of our Commercial community. Reporting into a Global Marketing Director and working closely with senior leaders across Marketing and Sales, you'll champion capability building across the business. This is a broad, influential role with visibility at SLT and ELT level, giving you the opportunity to shape how we develop skills, leadership and future-fit capability across the organisation. You'll be trusted to set the direction, build the roadmap and bring programmes to life - adapting as our strategy and capability needs evolve. Within your first year, you'll have completed a full capability assessment across Marketing and Sales, defined a clear development plan and begun delivering impactful programmes that directly support our long-term growth strategy. What you'll be doing? • Leading a comprehensive capability assessment across Marketing and Sales and translating this into clear, actionable roadmaps, • Designing and delivering flagshipcapability programmes such as Marketing Academy, Sales / Commercial Academy and other functional academies, working with internal L&D and external partners, • Driving ongoing Marketing capability initiatives (e.g. bite-size learning programmes), bringingbest-in-class external thinking into the business, • Building strong, collaborative relationships across the Commercial community and wider organisation, • Playing an active role in wider company priorities, including simplification, process improvement and agency capability, • An eperienced leader with a strong understanding of how complex, commercial organisations operate, • Proven ability to influence and engage senior stakeholders, confidently presenting ideas and recommendations, • A genuine passion forcapability building, learning and organisational development, • Strong communication skills and experience managing agencies and external partners, • Highly organised, delivery-focused and comfortable operating with autonomy, • Collaborative by nature, with a track record of working cross-functionally and bringing people on the journey, • Competitive salary, • Car Allowance, • Bonus, • Up to 7.5% pension, • Life assurance, • Wide range of online and in-house training

We are seeking a Senior Data Engineer to support the development and evolution of a scalable data platform underpinning private equity investment activity across EMEA. Working closely with investment, research, and technology teams, you will design, build, and optimise robust data pipelines and infrastructure that transform fragmented market and real estate data into structured intelligence. This role plays a critical part in enabling data-driven decision making across underwriting, portfolio strategy, and capital allocation. • Design, build, and maintain scalable data pipelines to manage and process large datasets from internal and external sources., • Architect and optimise ETL/ELT workflows using AWS, SQL, Python, and modern cloud-based technologies., • Manage API integrations and automate data ingestion, transformation, and enrichment processes., • Improve data platform performance, reliability, and scalability across the organisation., • Develop analytical tools and dashboards (e.g., Tableau) that deliver actionable insights for investment and business teams., • Implement data quality frameworks, monitoring, and governance processes to ensure data integrity and reliability., • Partner with investment, asset management, and finance teams to translate business requirements into scalable technical solutions., • Bring an architecture-first mindset, helping shape the evolution of the data platform while proactively exploring and adopting new technologies that enhance performance, scalability, and data capabilities., • Strong understanding of data architecture principles, scalable platform design, and data modelling., • Proven experience building and maintaining data pipelines and ETL/ELT workflows using modern data stack technologies., • 5+ years' experience in data engineering or a similar data-focused role., • Strong proficiency in SQL and Python for data transformation, pipeline development, and analytics., • Experience working with cloud platforms (AWS) and modern data warehouses such as Snowflake., • Experience using data visualisation or BI tools (e.g., Tableau) to support analytics and business insight., • Strong analytical thinking and structured problem-solving capability., • Ability to work effectively across teams and manage multiple priorities in a fast-paced environment. #J-18808-Ljbffr

Location: London or Cardiff, UK (Hybrid/Flexible)Salary: £80,000 – £90,000 DOE (Plus equity options) We are a proptech company at the forefront of AI and data innovation, partnering with leading insurance firms and major banks to deliver intelligent, scalable solutions for the property sector. Our work blends deep technical expertise with the reliability, security, and compliance required by highly regulated industries. We design and build systems that collect, integrate, and process hundreds of data sources — from live APIs and large-scale web crawls to internal datasets — and connect them to cutting-edge AI models, including fine-tuned LLMs and retrieval-augmented generation (RAG) pipelines. Our solutions enable smarter property decisions, faster operations, and better customer outcomes for both the financial services and property sectors. Data Acquisition & Integration • Design, implement, and operate pipelines ingesting and normalising data from APIs, databases, web crawlers, and file imports., • Prepare, clean, and structure datasets for fine-tuning LLMs and retrieval-based workflows., • Design, implement, and optimise RAG pipelines using vector databases, embeddings, and semantic search to connect real-time and historical data to LLMs., • Deploy, evaluate, and refine AI agents using GPU-enabled cloud infrastructure., • Build and maintain prompt engineering and evaluation frameworks for enterprise-grade AI applications., • Lead the end-to-end architecture for AI data ingestion, processing, and retrieval workflows with a focus on security, compliance, and scalability., • Automate extraction of technical and business insights from large datasets for property and financial services use cases., • Optimise performance and cost-efficiency of compute and retrieval operations., • Proven experience designing and maintaining complex data pipelines from multiple sources., • Strong expertise in large-scale web crawling & scraping., • Proficiency in Python and one or more of: Node.js, Go, Java., • Deep experience in RAG — from embeddings and vector database design to semantic search optimisation and retrieval integration with LLMs., • Experience with LLM fine-tuning and evaluation., • Hands-on experience with GPU cloud platforms for model training and inference., • Understanding of data security, privacy, and compliance in regulated industries., • Database knowledge across SQL, NoSQL, and document stores., • Familiarity with ETL/ELT frameworks and distributed data processing., • Ability to lead complex technical projects and mentor other engineers., • Experience with LangChain, LlamaIndex, or other RAG orchestration frameworks., • Familiarity with model evaluation tools., • Background in proptech, insurance, or financial services data ecosystems., • Exposure to MLOps pipelines for continuous AI delivery in enterprise environments., • Flexible, hybrid working arrangements., • Opportunity to deliver high-impact AI solutions for the property and financial services sectors. #J-18808-Ljbffr

Join to apply for the Business Analyst/PM Service Transition role at Cornwallis Elt Join to apply for the Business Analyst/PM Service Transition role at Cornwallis Elt Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Cornwallis Elt Project Manager / Business Analyst - Service Transition - £650/day | Inside IR35 | Remote | 6-Month Contract A leading Publishing and Information Analytics company is seeking a highly skilled Project Manager / Business Analyst to lead a Service Transition initiative on an initial 6-month engagement. This critical project involves transitioning services from one third-party provider to another, requiring strong leadership, analytical thinking, strong dependency tracking experience and structured delivery planning to ensure minimal disruption to the businesses service operations and strong coordination with teams in Legal and Procurement. They are also seeking someone with process-orientated BA skillset to support on a customer journey mapping project which will play a key part in their Customer Success part of the business. Key Responsibilities • Manage end-to-end service transition between third-party vendors, • Lead customer journey mapping to support a user-centric service design, • Develop and implement a framework and structured processes for the transition, • Create storyboards and visual models to illustrate service evolution and impact, • Track and manage dependencies across teams, systems, and vendors, • Proven experience delivering Service Transition projects as a BA or PM, • Strong background in process design, journey mapping, and framework development, • Confident managing dependencies and aligning cross-functional teams, • Excellent communication skills and stakeholder management, • Mid-Senior level, • Full-time, • Art/Creative Get notified about new Project Business Analyst jobs in London, England, United Kingdom. London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 4 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 months ago City Of London, England, United Kingdom £53,200.00-£59,850.00 5 days ago Greater London, England, United Kingdom 2 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 5 days ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

We are looking for a Data Architect to help design and evolve the data architecture that powers Elsevier's next-generation publishing and peer-review platforms. You will play a key role in transforming our submissions ecosystem into a modern, data-centric platform that supports new submission experiences, AI-enabled workflows, and enterprise-wide data reuse. Working closely with engineering teams, product leaders, and platform architects, you will define the core data architecture for the submissions domain, including the manuscript-centric data model, domain boundaries, APIs, and event-driven data flows. This is an opportunity to shape the data foundations of one of the world's largest scholarly publishing platforms. • Define and evolve the data architecture for the Submissions platform., • Design and maintain the core manuscript and submission domain data models., • Establish domain-driven data boundaries across platform capabilities., • Define scalable data access patterns and integration strategies., • Design API-based and event-driven data flows., • Guide engineering teams in implementing robust, scalable data solutions., • Support the evolution of legacy systems into modern, platform-based architectures., • Help establish data governance, ownership, and lineage practices., • Enable a data-centric platform strategy that supports analytics, AI, and enterprise reuse., • Strong experience in data architecture and domain modelling., • Experience applying Domain-Driven Design (DDD) principles., • Expertise in conceptual, logical, and physical data modelling., • Experience designing multi-tenant data architectures., • Strong SQL and relational database design skills., • Experience with PostgreSQL, MySQL, or cloud-native databases., • Experience with data platforms such as Snowflake or data lakes., • Experience designing ETL/ELT pipelines., • Experience with event-driven architectures., • API design experience (REST, GraphQL, OpenAPI)., • Microservices architecture., • Event streaming and messaging platforms., • Distributed systems design., • Experience working closely with software engineering teams., • Ability to guide technical implementation and reduce architectural complexity., • Experience modernizing legacy systems into scalable architectures., • Understanding of data governance, lineage, and data ownership practices., • Working remotely from home or in our office in a flexible hybrid style., • Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive., • Generous holiday allowance with the option to buy additional days., • Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year., • Health screening, eye care vouchers and private medical benefits., • Wellbeing programs., • Life assurance., • Access to a competitive contributory pension scheme., • Long service awards., • Save As You Earn share option scheme., • Travel Season ticket loan., • Maternity, paternity and shared parental leave., • Access to emergency care for both the elderly and children., • RELX Cares days, giving you time to support the charities and causes that matter to you., • Access to employee resource groups with dedicated time to volunteer., • Access to extensive learning and development resources. #J-18808-Ljbffr

This range is provided by Cornwallis Elt. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Technology Engineer - Private Equity - Up to £90,000 Base + Benefits - Hybrid/London We are currently working with a boutique Private Equity company who are seeking a Technology Engineer to join their Technology and Data function on a permanent basis. This role involves identifying new technologies, driving implementation projects and integrating new technologies into the existing infrastructure. You will also be responsible for configuring technical solutions and troubleshooting complex issues. This is a highly visible position; working closely with a variety of departments to enhance technology capabilities and providing C-Suite stakeholders with regular project updates. Key Requirements: • Relevant experience leading Engineering and Infrastructure projects., • Proficient with infrastructure technologies including the full Microsoft technology stack (Azure, MS 365, Intune etc)., • Ability to identify risks and implement mitigation strategies., • Previous experience facing off to C-Suite stakeholders. Note: Sponsorship is not available for this opportunity. Suitable candidates will be contacted within 48 hours. • Location: London, England, United Kingdom, • Contract type: Full-time, • Seniority: Mid-Senior level #J-18808-Ljbffr

The Role Leading a team of Data, DataOps & MLOps Engineers within a global asset manager's European Data function. Key Responsibilities Lead and develop a team of data engineers Deliver largescale data pipelines (ETL/ELT) Design and optimise data architecture and workflows Partner with stakeholders

This role will help design and build a new cloud data warehouse solution using Snowflake, dbt, and Azure DevOps, delivering scalable ELT pipelines and optimised data models to support business-wide analytics and reporting. Solid understanding of Azure DevOps for CI/CD pipelines (YAML, environments,

A dynamic tech firm in London is looking for a Core Data Engineer to design and optimise data pipelines.The role involves collaborating with Data Science and Platform teams, maintaining scalable frameworks, and ensuring data quality and integrity.Ideal candidates will have experience in dbt, Python,

Understanding of data modeling, ETL/ELT, and warehousing concepts.Proficiency in SQL and one or more programming languages (e.Exposure to Microsoft Fabric, or a strong willingness to learn.Experience using version control tools like Git and knowledge of.Senior/Staff Software Engineer, Data Platform.