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Job Info Job Identification 15290 Posting Date 06/05/2026, 09:33 AM Job Role Data Management and Analytics-Data Modelling Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit. Location:London, United Kingdom(Hybrid working) Employment Type:Permanent The Senior Data Modeller will provide technical expertise and leadership in analysis, design, development, rollout and maintenance of enterprise data models and solutions. This role establishes a clear, layered approach (conceptual, logical, physical) to ensure consistency, scalability, and alignment across the enterprise. The position requires deep understanding of the insurance data domain and provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from an enterprise perspective. The Senior Data Modeler creates high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape. The role sets design principles and standards to build trusted, reusable, and well-governed data assets that support business outcomes. This includes implementing consistent, business-friendly naming conventions and aligning with governance frameworks, including London Market and regulatory requirements where applicable. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as innovation, critical thinking, optimism, positivity, communication, time management, collaboration, problem solving, acting independently, knowledge sharing and being approachable. As part of your duties, you will be responsible for: Design and develop conceptual, logical, and physical data models for enterprise-scale data lake and data warehouse solutions, along with corresponding metadata, ensuring layered consistency and scalability across the enterprise Establish and enforce design principles, standards, and naming conventions to build trusted, reusable, and well-governed data assets that support business outcomes Create high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape Implement consistent, business-friendly naming conventions and align with governance frameworks, including London Market standards (ACORD, CDR, MRC) and regulatory requirements where applicable Define processes, ownership, and tooling to maintain, govern, and continuously evolve data assets over time Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, and similar platforms Create functional and technical documentation including data integration architecture documentation, data models, data dictionaries, data integration specifications, and data testing plans Collaborate with business users to analyse and test requirements, translating business needs into scalable technical solutions Stay current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for data architecture Lead and support setting the data architecture direction (including data movement approach, architecture and technology strategy, and other data-related considerations to ensure business value), ensuring data architecture deliverables are developed, ensuring compliance with standards and guidelines, implementing the data architecture, and supporting technical developers at an enterprise level Coordinate and consult with project managers, client business staff, client technical staff and project developers in data architecture best practices and data-related matters at the enterprise and business unit levels Perform reverse engineering of physical data models from databases and SQL scripts Maintain rigorous versioning of documentation and models to ensure consistent delivery and understanding between the client and development team Experience and Education required: Deep understanding of the insurance data domain; experience working as a data modeler for a London market insurer is equally valuable to specialized London Market technical expertise Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, or similar enterprise modelling platforms) Experience with major database platforms (Oracle, SQL Server, Teradata, Snowflake, cloud-native databases) Understanding and experience with major data architecture philosophies (Dimensional, ODS, Data Vault, Data Mesh) 5-7 years of management or technical leadership experience required 5-7 years consulting experience preferred Experience in data analysis, profiling, and data quality assessment Strong data warehousing and OLTP systems experience from a modelling and integration perspective Strong understanding of data integration best practices, patterns, and architectural concepts Strong development experience under Unix and/or Windows environments Strong knowledge of all phases of the system development life cycle including agile methodologies Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data, and streaming architectures Understanding of on-premises and cloud infrastructure architectures (Azure, AWS, Google Cloud) Knowledge of London Market standards (ACORD, CDR, MRC) and regulatory frameworks is highly desirable but not essential Preferred Skills & Experience Ability to analyse business requirements as they relate to data movement and transformation processes, research, evaluation and recommendation of alternative solutions Ability to transform business requirements into technical requirement documents and enterprise-level design patterns Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combine the two together Can create documentation and presentations such that they stand on their own with minimal additional context Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered Ability to work independently on complex projects as well as collaborate effectively across teams and organisational boundaries Must excel in a fast-paced, agile environment where critical thinking and strong problem-solving skills are required for success Strong team building, interpersonal, analytical, problem identification and resolution skills Can effectively utilise SQL and/or available BI tools to validate and elaborate business rules Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with teams to design effective solutions to business problems Understands and leverages multi-layer semantic models to ensure scalability, durability, and supportability of analytic solutions Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic standpoint As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. . click apply for full job details

A healthcare services provider in Bristol is looking for a Senior Data Engineer to lead the development of cloud architecture and data pipelines. This role involves collaborating with clinical and operational teams to enhance healthcare services through data-driven solutions. Candidates should have strong experience in data engineering, proficiency in Python and SQL, and a solid understanding of data warehousing. The position offers a competitive salary, primarily office-based work with some hybrid options, and opportunities for career growth.

Company Overview VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award winning work for blue chip client partners including AstraZeneca, Colgate Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca Cola Company, and Wendy's. The agency is recognized by the Forrester Wave Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML's specialist health network, VML Health, is one of the world's largest and most awarded health agencies. VML's global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, Sao Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting edge media intelligence and data solutions, world class creativity, next generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit Job Overview We are seeking a highly capable Senior Business Intelligence Engineer to lead the delivery of business critical analytics used by hundreds of stakeholders globally across a large listed organisation. This role is responsible for architecting scalable, resilient, and modern data solutions across fragmented and complex source systems, while delivering high quality analytics, reporting, and insight capabilities that support strategic decision making across the business. The position sits within the Business Operations & Transformation team, where data and analytics are viewed as a key strategic enabler for driving operational alignment, commercial focus, and organisational transformation. Key Responsibilities Architect and oversee scalable end to end data pipelines across fragmented and heterogeneous source systems. Design and implement robust ETL/ELT frameworks and modern lakehouse architectures. Build and maintain enterprise grade data platforms, including ingestion pipelines, data warehousing, semantic models, and reporting layers. Deliver high quality analytics, dashboards, and self service reporting solutions using Power BI and Microsoft Fabric. Enable advanced analytics, automation, and data transformation using Python and SQL. Partner closely with Finance, Commercial, Operations, Business Development, and Enterprise Technology teams. Act as a trusted advisor to senior leadership, translating strategic business priorities into data and analytics solutions. Provide insightful analysis, recommendations, and performance reporting to support optimisation and decision making. Develop and govern additional data collection practices to improve data availability and accessibility. Implement and maintain Row Level Security (RLS) and data access controls across enterprise reporting and analytics solutions. Establish and promote governance, standards, and best practices for data quality, security and analytics delivery. Develop reusable semantic models. Support both strategic initiatives and ad hoc analytical deep dives across operational and financial datasets. Drive adoption of data driven decision making across the organisation. Build strong relationships with technical and non technical stakeholders across a matrix organisation. Contribute to the ongoing evolution of the organisation's BI and data strategy. Essential Experience Strong understanding of the modern data stack, including data modelling, warehousing, and large scale ETL/ELT pipeline development. Proven experience architecting and managing complex enterprise data pipelines across fragmented systems. Strong understanding of modern cloud data architecture principles, including lakehouse and medallion architectures. Experience developing enterprise dashboards and self service analytics capabilities. Strong business analysis skills with the ability to translate operational and financial challenges into technical and analytical solutions. Comfortable analysing and interpreting financial, commercial, and operational datasets. Experience operating within complex, matrixed, and transformation focused organisations. Excellent stakeholder management, communication, and presentation skills. Comfortable balancing hands on technical delivery with leadership responsibilities. Technical Skills Databricks Microsoft Fabric Power BI SQL Python Desirable Experience Experience with ERP platforms such as Workday, Dynamics, Maconomy and SAP. Understanding of Azure cloud services and broader cloud ecosystem architecture. Experience implementing data governance, master data management, and compliance frameworks. Relevant cloud, analytics, or data platform certifications. Data collection design. Personal Attributes Collaborative, influential, and delivery focused. Comfortable operating in ambiguity and complex organisational environments. Strong attention to detail and commitment to data quality. Able to communicate effectively with both technical and non technical audiences. Naturally curious with a continuous improvement mindset. Passionate about leveraging data to drive business performance and transformation. Schedule and Work Environment We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Equal Opportunity Statement WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Senior Data Engineer - Methods Business and Digital Technology Limited This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data driven decision making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi structured, and unstructured data in on premises and Azure environments. Implement and manage data storage solutions leveraging both on premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms. Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments. Utilise event driven technologies such as Kafka and NATS to handle real time data streams effectively. Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms. Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying event streaming platforms like Kafka and NATS. Experience with implementing security practices and tools, including Keycloak, across multiple platforms. Strong background in managing Elasticsearch and PostgreSQL in environments that span on premises and cloud infrastructures. Desirable Skills and Experience Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application. A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on premises and cloud settings. Some DevOps engineering experience would be preferable. This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Autonomy to develop and grow your skills and experience. Be part of exciting project work that is making a difference in society. Strong, inspiring and thought provoking leadership. A supportive and collaborative environment. Development - access to LinkedIn Learning, a management development programme, and training. Wellness - 24/7 confidential employee assistance programme. Flexible Working - including home working and part time. Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes. Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year. Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation. Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution. Life Assurance - of 4 times base salary. Private Medical Insurance - which is non contributory (spouse and dependents included). Worldwide Travel Insurance - which is non contributory (spouse and dependents included). Enhanced Maternity and Paternity Pay. Travel - season ticket loan, cycle to work scheme.

About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. The Role This is a senior individual contributor sales role with the autonomy to build and grow your own client portfolio across the Public Sector. You will be responsible for creating new relationships, developing your market, and owning the commercial growth of your clients over time. You will have the opportunity to build something that feels like your own business within Scale Factory, supported by strong technical capability, delivery expertise and a broader group proposition. You will identify target organisations, open senior conversations, understand business and technology challenges, and create opportunities across the full suite of Scale Factory services. As relationships develop, you will continue to own and grow those clients, expanding into new stakeholders, new practices and new areas of value. This role requires someone who understands how to sell consultatively into the public sector. You will need to be comfortable navigating longer sales cycles, procurement routes, frameworks, budget cycles, multi stakeholder decision making and outcome led business cases. You will be expected to sell across our service practices, including: Cloud consulting and engineering Quality engineering and testing services Managed services AI and data offerings Technology advisory and transformation support The successful candidate will be commercially ambitious, entrepreneurial and comfortable taking ownership. You will be trusted to build a strong public sector client base, shape demand, create qualified opportunities and work closely with technical teams to turn client challenges into consulting, engineering and managed service engagements. This role suits someone who wants to build long term public sector relationships, grow meaningful revenue streams and become a trusted commercial lead for their own portfolio of customers. Key Responsibilities New Business Development Identify, target and open new public sector client relationships. Build qualified pipeline across central government, local government, healthcare, education and wider public sector organisations. Develop relationships with senior technology, digital, commercial, transformation and operational stakeholders. Understand public sector priorities, funding pressures, procurement requirements and delivery constraints. Create new opportunities by connecting client challenges to relevant Scale Factory capabilities. Own opportunities from early engagement through qualification, proposal and close. Maintain strong commercial discipline around pipeline quality, next steps, forecasting and deal progression. Consultative Selling Lead discovery conversations that uncover business outcomes and challenges, not just technical requirements. Work with clients to shape problems into clear opportunities. Position Scale Factory's services in a way that is relevant, practical and outcome led. Collaborate with technical and delivery teams to develop credible solutions and commercial proposals. Navigate complex buying groups across digital, technology, commercial, finance, procurement and senior leadership. Build trust by bringing insight, challenging constructively and understanding the realities of public sector delivery. Procurement, Frameworks & Market Development Identify relevant framework and procurement routes for target opportunities. Support framework led sales motions and public sector bid activity. Work with internal teams to improve public sector propositions, messaging and routes to market. Contribute to campaigns, events, roundtables and thought leadership aimed at public sector buyers. Feed market insight back into the business to help shape our public sector strategy. Commercial Ownership Carry a new business revenue target. Own accurate pipeline reporting and forecasting. Manage commercial negotiations with support from leadership where required. Ensure opportunities are properly qualified and aligned to business priorities. Maintain strong CRM hygiene and clear account/opportunity records. Build sustainable client relationships that can transition effectively into delivery and long term growth. What We Are Looking For We are looking for someone with proven experience selling technology services, consulting, managed services or complex cloud solutions - AWS is a bonus. You should be comfortable creating opportunities from scratch, managing senior conversations and selling value. You Will Likely Have Proven success in a quota carrying new business sales role. Experience selling into public sector organisations. Experience selling a blend of consulting, technology services, managed services, software delivery, cloud, QA/testing, AI or data solutions. Strong ability to open new relationships and develop opportunities from early stage conversations. Confidence engaging senior public sector stakeholders. Understanding of public sector procurement, frameworks and buying cycles. Experience leading discovery, qualification, proposal development and commercial negotiation. A consultative, outcome led sales style. Strong commercial judgement and the ability to qualify opportunities properly. The confidence to work independently while collaborating closely with technical teams. A track record of building and managing high quality pipeline. You do not need to be deeply technical, but you must be able to understand client challenges, ask intelligent questions and work effectively with technical specialists. Useful Experience Experience in any of the following would be valuable: Selling professional services or consulting led technology engagements into public sector. Experience with central government, local government, healthcare, education, policing or defence adjacent accounts. Understanding of public sector procurement frameworks and bid processes. Working with cloud, data, AI, DevOps, QA/testing or managed service propositions. Selling across multiple service lines or practices. Working in a business where delivery credibility is central to the sale. Using value selling, MEDDPICC or similar qualification approaches. Creating opportunities through partnerships, frameworks, events or proposition led campaigns. Note: Eligibility to obtain and maintain security clearance would be highly advantageous for this role; however, it is not a mandatory requirement and candidates who do not currently meet security clearance eligibility criteria are still encouraged to apply. What's in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here's what you can expect: 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Flexible Work Model: Hybrid working that fits your lifestyle. Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Let's Build the Future Together We're on the lookout for passionate, talented individuals who are ready to make an impact. Whether you're an experienced automation tester or a developer with a flair for QA, we want to hear from you.

Senior Data Engineer - Methods Business and Digital Technology Limited This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data driven decision making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi structured, and unstructured data in on premises and Azure environments. Implement and manage data storage solutions leveraging both on premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms. Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments. Utilise event driven technologies such as Kafka and NATS to handle real time data streams effectively. Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms. Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying event streaming platforms like Kafka and NATS. Experience with implementing security practices and tools, including Keycloak, across multiple platforms. Strong background in managing Elasticsearch and PostgreSQL in environments that span on premises and cloud infrastructures. Desirable Skills and Experience Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application. A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on premises and cloud settings. Some DevOps engineering experience would be preferable. This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Autonomy to develop and grow your skills and experience. Be part of exciting project work that is making a difference in society. Strong, inspiring and thought provoking leadership. A supportive and collaborative environment. Development - access to LinkedIn Learning, a management development programme, and training. Wellness - 24/7 confidential employee assistance programme. Flexible Working - including home working and part time. Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes. Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year. Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation. Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution. Life Assurance - of 4 times base salary. Private Medical Insurance - which is non contributory (spouse and dependents included). Worldwide Travel Insurance - which is non contributory (spouse and dependents included). Enhanced Maternity and Paternity Pay. Travel - season ticket loan, cycle to work scheme.

Senior Data Engineer Location: London Business Area: Marketing and Public Relations Ref #: Description & Requirements The Climate Data Utility Tech Team is actively searching for an experienced Senior Data Engineer to play a pivotal role in the design, implementation, enhancement, and maintenance of scalable data pipelines for the Net-Zero Data Public Utility. These pipelines are essential for the Utility's mission of providing open and accessible public good data through both the Climate Data Utility website and APIs. A successful candidate will face the challenge of working with data originating from a wide array of sources, each with its own formats, fields, and access protocols. Your responsibilities will encompass the full data lifecycle from the extraction of data from sources, transforming it according to source and domain specific business logic, and pushing it through the Utility's ingestion process. Additionally, you will be expected to implement data quality checks and validation procedures to ensure the accuracy and reliability of the data provided by the Utility. Responsibilities Design and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet). Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision-making. Document data engineering processes, including data lineage, data dictionaries, and system architectures. Maintain best practices through code reviews, version control, and adherence to industry standards. Deploy production quality code through CI/CD pipelines into our cloud environment. Provide mentorship and guidance to junior team members, fostering their growth and development in data engineering practices. Qualifications 7+ years of experience in data engineering or a similar role. Proficiency in Python programming. Experience with building and managing data pipelines. Knowledge of data warehousing and ETL processes. Excellent problem-solving and communication skills. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior Data Engineer - Methods Business and Digital Technology Limited This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data driven decision making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi structured, and unstructured data in on premises and Azure environments. Implement and manage data storage solutions leveraging both on premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms. Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments. Utilise event driven technologies such as Kafka and NATS to handle real time data streams effectively. Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms. Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying event streaming platforms like Kafka and NATS. Experience with implementing security practices and tools, including Keycloak, across multiple platforms. Strong background in managing Elasticsearch and PostgreSQL in environments that span on premises and cloud infrastructures. Desirable Skills and Experience Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application. A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on premises and cloud settings. Some DevOps engineering experience would be preferable. This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Autonomy to develop and grow your skills and experience. Be part of exciting project work that is making a difference in society. Strong, inspiring and thought provoking leadership. A supportive and collaborative environment. Development - access to LinkedIn Learning, a management development programme, and training. Wellness - 24/7 confidential employee assistance programme. Flexible Working - including home working and part time. Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes. Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year. Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation. Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution. Life Assurance - of 4 times base salary. Private Medical Insurance - which is non contributory (spouse and dependents included). Worldwide Travel Insurance - which is non contributory (spouse and dependents included). Enhanced Maternity and Paternity Pay. Travel - season ticket loan, cycle to work scheme.

Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values driven company that invests in its people and gives you the autonomy to shape critical systems? We're looking for a Senior Software Engineer to join Elliptic's Product Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: Architect, design, and implement large scale distributed data systems and pipelines. Contribute to technical decision making across batch and streaming data solutions. Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer focused products. Explore and integrate new technologies (e.g. data orchestration or cloud native tools) to optimise performance and scalability. Take shared ownership of data systems, from design to deployment and ongoing improvement and support. Perform thoughtful peer reviews that raise code quality and share best practices across the team. Contribute to platform wide initiatives that improve reliability, observability, and cost efficiency. Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming We value depth in any modern data ecosystem. If you're strong in equivalent technologies and excited to learn Scala, we'll support you in the transition. You will thrive here if you: Enjoy end to end ownership, from architecture design to coaching others through delivery. Strive for engineering excellence and scalable, sustainable systems. Use data and experimentation to guide decisions. Communicate openly and collaborate across teams. Support and coach less experienced engineers. Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: Ability to design, build, and maintain distributed data systems in a cloud based environment. Hands on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). Knowledge of cloud infrastructure (AWS, GCP, or Azure). Judgement to balance scalability, performance, and maintainability. Experience or interest in functional programming, data modelling, workflow orchestration, or AI driven tools. If you don't meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: Experience in stream processing frameworks and event driven architecture. Hands on experience with Infrastructure as Code (Terraform, CloudFormation). Experience working in containerised environments (Docker, Kubernetes). Interest in crypto and blockchain technologies. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.

Senior Data Engineer Contract Role Outside IR35 £525-550/day Milton Keynes Hybrid Initial 5 Months We have a new Senior Data Engineer contract opportunity with a global leading client with offices in Milton Keynes. You'll join a high-impact team focused on rebuilding and optimising data pipelines into a Databricks Lakehouse environment, enabling clean, scalable, and high-quality data delivery for analytics and reporting. This is outside IR35, requires 1 day per week on-site, and offers an initial 5-month contract with an immediate start and strong potential for extension on a greenfield project. Key Responsibilities Design, build, and optimise data pipelines using ELT/ETL best practices. Migrate and transform data into a Databricks Lakehouse architecture. Ensure data quality, reliability, and scalability for analytics and reporting. Collaborate with stakeholders to deliver robust solutions aligned with business needs. Support production environments and troubleshoot performance issues. Ideal Candidate 7+ years in Data Engineering with strong experience in cloud-based data platforms. Proven ability to design and optimise pipelines for large-scale data processing. Hands on experience with Databricks and Azure. Strong stakeholder communication and problem-solving skills. Tech Stack Required: Databricks DBT Python PySpark SQL Azure Bonus: Experience in eCommerce environments.

Senior Data Engineer - BrisDoc Healthcare Services Job summary What you'll lead Working as part of BrisDoc's Business Transformation team, the Senior Data Engineer will take a lead role in developing and building our cloud architecture, data lake and warehousing, and data pipelines to support the organisation's service development and improvement. The role offers the opportunity to support innovation and transformation of vital daytime primary care services and out-of-hours urgent care services during an important time of change and development in NHS care, with a shift to more digitised, technological and data-driven services that support the delivery of excellent healthcare services. The role will work across BrisDoc and its clinical, operational and back-office services, clearly and accurately defining business problems and solutions where data plays a crucial role. Main duties of the job Who we're looking for We are only interested in candidates who can demonstrate the following essential experience: Strong experience in data engineering, including building and maintaining data pipelines and data platforms Proficiency in Python and SQL Experience working with cloud platforms such as AWS or Azure A good understanding of data warehousing, data lakes and data integration approaches Strong analytical and problem solving skills Excellent communication skills, with the ability to work with both technical and non technical stakeholders It would be an advantage if you also have: Experience supporting data science or machine learning initiatives Experience with BI tools such as Tableau or Power BI Familiarity with big data tools such as Spark or Hadoop Knowledge of healthcare or NHS services Please note we will only progress applications from candidates who clearly meet the essential criteria outlined above. About us Business analysis and transformation underpin innovative, safe and high-quality care for our patients, supporting colleagues across Urgent Care, General Practice and Business Services. In this role, you will see a direct line between your work and real world outcomes. Autonomy with support You'll work closely with senior clinical, operational and corporate leaders, with influence through the Extended Leadership Team. You'll be trusted to bring structure, evidence and challenge where it matters most. A values led, co owner culture As an employee owned social enterprise, we put people and purpose first. We're deeply committed to equity, diversity, inclusion, sustainability and innovation, and we want you to thrive here as a co owner. Recognising your value Competitive salary £65,000 £70,000 dependent upon experience Full time 37.5 hours per week Primarily office based in Whitchurch, Bristol with option for some hybrid working Access to training opportunities to support your career growth A supportive, employee owned organisation where your contributions are valued Social impact through a role that directly adds value to over one million patient. We are not able to offer Skilled Worker visa sponsorship for this role. Applicants must have the right to work in the UK at the time of application. For questions about the job, please contact Anjana Thankachan, People Team Coordinator at / . Interested candidates can send the application as mentioned in the post or e mail contact person if any questions for the job role.

The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist.About Parameta SolutionsParameta Solutions is the Data & Analytics division of TP ICAP Group. The business provides clients with unbiased OTC content and proprietary data, in-depth insights across price discovery, risk management, benchmark and indices, and pre and post-trade analytics. Its post-trade solutions offering helps market participants control their counterparty and regulatory risks through a growing range of tools that manage balance-sheet exposure, as well as compression and optimisation services. The Data & Analytics division includes the following brands: Tullett Prebon Information, PVM Data Services, ICAP Information and Burton-Taylor Consulting.Role OverviewWe are seeking a visionary and hands-on technology leader to own and optimize our Workday Financials platform within a broader global software ecosystem. This strategic role combines operational excellence with forward-thinking design, ensuring our financial systems are robust, scalable, and aligned with corporate objectives. The successful candidate will partner with senior business stakeholders, lead system architecture and integrations (including Salesforce via Mulesoft middleware and event-driven APIs), and champion governance across all core finance processes. This is an opportunity to shape the future of financial technology within a dynamic, data-driven organization.Key ResponsibilitiesLead and optimize Workday Financials and related ERP systems, ensuring high availability and performance.Architect and manage integrations across platforms (Salesforce/Mulesoft/event-driven APIs), delivering secure, scalable solutions.Drive governance and process excellence across General Ledger, Accounts Payable/Receivable, Procurement, Fixed Assets, and Financial Reporting.Ensure compliance with IFRS, GAAP, and internal controls, maintaining rigorous standards of financial integrity and risk management.Partner with business leaders to align system capabilities with evolving corporate strategy and operational needs.Identify and implement automation and AI-driven enhancements to improve efficiency, reporting, and scalability.Manage vendor relationships, oversee project delivery, and lead cross-functional initiatives to support enterprise growth.Deliver accurate, timely financial data and insights to enable data-driven decision-making.Build and mentor a high-performing global team, fostering a culture of innovation, collaboration, and accountability.Experience & CompetenciesEssentialExtensive experience in Workday Financials and global ERP management, with a proven track record in financial systems leadership.Strong background in system architecture, integrations (Salesforce/Mulesoft), and process optimization.Deep knowledge of core finance processes, financial controls, compliance (IFRS/GAAP), and risk management.Demonstrated ability to drive automation, efficiency, and transformation in complex environments.Skilled in vendor management, project delivery, and cross-functional collaboration.Experience leading and developing high-performing teams in a global context.Background in financial services, fintech, or data-driven organizations.Proven success in digital transformation initiatives and process automation.Knowledge of multi-entity, cross-border financial operations.Experience managing relationships with auditors, regulators, and external partners.Degree in Information Technology, Computer Science, or Engineering.DesiredStrategic mindset with the ability to translate business objectives into technology solutions.Familiarity with OTC derivatives markets and financial instruments.Experience with cloud-native architectures, API-first design, and event-driven systems.Knowledge of data governance, security frameworks, and regulatory compliance in global financial environments.Exposure to AI/ML applications in finance, predictive analytics, and intelligent automation.Strong stakeholder management and influencing skills at executive level.Ability to thrive in fast-paced, matrixed organizations and manage competing priorities.Commitment to inclusive leadership, fostering diversity and collaboration across global teams.Excellent communication and presentation skills, capable of engaging both technical and non-technical audiences.Band & LevelManager / 7 The Perfect Fit?Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.Company StatementWe know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.LocationUK - 135 Bishopsgate - London

South 11 is looking for a Senior Data Engineer to enhance their data platform. This role involves migrating from SQL Server to AWS, developing data solutions using AWS services, and automating data processes. The successful candidate will work with data scientists, mentor junior engineers, and implement data quality checks. The role offers a salary between £55,000 and £80,000, alongside various employee benefits including bonuses, enhanced parental pay, and wellness support.