174 jobs found

We are seeking a highly skilled candidate with exceptional and demonstrable technical abilities in SQL, capable of developing robust reporting solutions to meet varied customer requirements. The successful applicant will have a minimum of 3 years experience working with SQL, databases and data warehouses to produce reports and scope for improvements. Understanding of RiO and other patient management systems will be advantageous. Therefore proven experience in extracting, merging, and manipulating datasets from multiple IT platforms is essential, alongside a track record of solving complex data quality issues. The role demands a thorough understanding of SQL, operational standards, information datasets, and key performance measures, working collaboratively with clinicians, managers, and staff to deliver data-driven insights and champion the roll out of the Business Information System (BIS). This is fixed term maternity cover for 12-15 months This vacancy may be closed before the advertised end date if a high volume of applications are received Main duties of the job Develop, code, test, and implement efficient and reliable database schemes, as well as SQL queries, views, stored procedures, and triggers to support business intelligence initiatives Utilise tools such as SQL, SQL Server Reporting Services (SSRS), Excel, and Power BI to automate scheduled reporting, organise and prepare data for analysis, and provide actionable insights Assist Performance and Information Manager and Head of Data Services to meet department objectives Line management of junior staff Strong communication and collaboration skills as will work with different colleagues, managers and teams About us Oxleas offers a wide range of NHS healthcare services to people in community and secure environment settings. Our services include community health care such as district nursing and speech and language therapy, care for people with learning disabilities and mental health care such as psychiatry, nursing and therapies. Our multidisciplinary teams look after people of all ages and we work in close partnership with other parts of the NHS, local councils and the voluntary sector and through our new provider collaboratives. Our 4,300 members of staff work in many different settings including hospitals, clinics, prisons, secure hospitals, children's centres, schools and people's homes.We have over 125 sites in a variety of locations in the South of England. In London we operate within the Boroughs of Bexley, Bromley Greenwich and into Kent. We manage hospital sites including Queen Mary's Hospital, Sidcup and Memorial Hospital, Woolwich, as well as the Bracton Centre, our medium secure unit for people with mental health needs. We are the largest NHS provider of prison health services providing healthcare to prisons within Devon, Dorset, Bristol, Wiltshire and Gloucestershire, Kent and South London. We are proud of the care we provide and our people. Our purpose is to improve lives by providing the best possible care to our patients and their families. This is strengthened by our new values: We're Kind We Listen We Care Job responsibilities Develop, code, test, and implement efficient and reliable database schemas, as well as SQL queries, views, stored procedures, and triggers to support business intelligence initiatives Utilise tools such as SQL, SQL Server Reporting Services (SSRS), Excel, and Power BI to automate scheduled reporting, organise and prepare data for analysis, and provide actionable insights Manage and organise comprehensive data reports for external submissions e.g. MHSDS, CSDS to NHSE, commissioners, and partners. To act as a source of analytical expertise and advise operational teams on the interpretation of performance information and data standards Provide a high-quality customer focused service to colleagues throughout the Trust ensuring that their information needs are met Play an active role in the monitoring and improvement of information across the organisation Take responsibility for resolving problems with the Business Information System (BIS) on behalf of the directorates Work closely with the development team to ensure that new business and analytical reports meet the needs of internal and external stakeholders Work in collaboration with technical development and initiate service and system enhancements on behalf of the services to meet changing customer demand and in the development and maintenance of BI applications Be highly organised and able to manage his/her own workload in response to changing demands and deadlines Regularly audit own working practices, identify and implement changes to reflect improved ways of working The post holder will be the lead analyst on specific projects and working groups To support the delivery of new/enhanced reporting system developments assisting clinicians and providing training where appropriate Ability to understand and interpret complex adhoc requests and respond appropriately to tight deadlines. This will entail the analysis, investigation and resolution of complex information issues Develop training and guidance for clinicians to support data quality, data definitions and the use and interpretation of BI reporting Ensure that all documentation produced is developed, maintained and published in accordance with departmental standards Share knowledge and experience with other members of department on a regular basis Ability to train and coordinate the work of junior staff in the department, including supervision Using highly developed specialist knowledge of services to enable presentation of complex and contentious reports to clinical colleagues Undertakes any other duties as required which are consistent with the grade and nature of the post Demonstrates a proactive approach to responsibilities and exhibits customer focused thinking Management/Leadership responsibilities Plan and manage the day to day work of post holder. Line management of junior staff Deputise for the Performance and Information Manager Liaise with Business and Service Improvement Managers to ensure that all business and analytics reports meet their requirements Assist Performance and Information Manager and Head of Data Services to meet department objectives Leading in various meetings with different stakeholders Responsible for owning and delivering a continuous training programme for the directorates and other areas of the Trust as appropriate Ensure that all reporting protocols are documented Devise best practice principles and assist in the implementation of these across the department Communication and Collaboration Strong communication and relationship skills are essential for this role. The post holder will develop and maintain relationships with directorate colleagues such as business managers, support officers, service managers, and team leaders. The post holder must have strong written communication skills to produce clear training materials and reports. The post holder may liaise with BSU and local authority staff to address reporting queries. Hold meetings as needed across the organisation to manage data matters. Delivers complex business and analytical information in various formats across the Trust and be able to adapt communication to suit the audience. Ensures that potentially contentious and sensitive information is clearly communicated especially where there may be barriers to understanding. Regularly assesses directorate needs through research and surveys, then applies findings to enhance personal, Trust, and departmental performance. General To proactively manage and discharge the responsibilities of the post through organising own workload, priorities, and deadlines To have a commitment to service improvement, effective change management and excellent communication skills To have an understanding of health related and service provision issues in all service directorates within Oxleas To work in accordance with Trust Policies and Procedures at all times Always follow the Trusts Information Security Policy and avoid any actions that could breach confidentiality To attend meetings as required Person Specification Education/Qualifications Masters Degree or Equivalent Experience 3-5 years Experience External Data Collections/Submissions MHSDS, CSDS, NHSE etc Technical Skills SQL Server SSRS, SSAS, SSIS PowerBI MS Office IT Systems and Databases Other Skills Management/planning/organisational skills Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data-driven decision-making by developing scalable data models and delivering high-quality insights across the business. The position works cross-functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data. Responsibilities Data Modeling & Engineering Build and maintain scalable data models using dbt and Snowflake Transform raw data into clean, reliable datasets for analysis Apply engineering best practices to analytics code to ensure scalability and maintainability Insight & Business Impact Translate data models into actionable insights for stakeholders across product, marketing, and operations Partner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholders Support cross-functional teams by delivering high-quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineage Advocate for and uphold data quality and coding standards through code reviews Tools & Technology Utilise Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions Core Competencies for Success Collaborates - Builds strong partnerships across technical and business teams to achieve shared outcomes Drives Results - Consistently delivers high-quality outputs in a fast-paced, data-driven environment Ensures Accountability - Takes ownership of data quality, accuracy, and delivery standards Tech Savvy - Adopts and applies modern data technologies to improve efficiency and scalability Manages Complexity - Analyses complex datasets and translates them into clear, actionable insights Credentials and Experience 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role 2+ years of experience working with product and/or customer data 3+ years of hands on experience writing and optimising SQL for data analysis and transformation Experience using Python, R, or similar tools for data analysis and manipulation 1-3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt) Experience transforming raw data into clean, production-ready datasets and maintaining technical documentation Experience working with large-scale datasets (e.g., high-volume event or behavioural data) Exposure to API integrations and data ingestion processes is desirable Demonstrated ability to work effectively in a remote or distributed team environment Legal right to work in the United Kingdom Other Details The role is hybrid based in Bath, UK. As the office is a listed building, please let us know if accommodations are needed due to the lack of a lift. Salary range: £35,000 - £39,400 annually. The position is eligible for an annual bonus. Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the communities we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender, protected veteran status or disabled status or, genetic information.

Posted Wednesday 24 June 2026 at 04:00 Expires Tuesday 14 July 2026 at 03:59 We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data-driven decision-making by developing scalable data models and delivering high-quality insights across the business. The position works cross-functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data. The successful candidate will become a specialist in our modern data stack, including Snowflake, dbt, Looker, and Hightouch, and will contribute to building a robust analytics capability at scale. In This Role You Will Data Modeling & Engineering Build and maintain scalable data models using dbt and Snowflake Transform raw data into clean, reliable datasets for analysis Apply engineering best practices to analytics code to ensure scalability and maintainability Insight & Business Impact Translate data models into actionable insights for stakeholders across product, marketing, and operations Partner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholders Support cross-functional teams by delivering high quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineage Advocate for and uphold data quality and coding standards through code reviews Tools & Technology Utilise Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions Core Competencies for Success Collaborates - Builds strong partnerships across technical and business teams to achieve shared outcomes Drives Results - Consistently delivers high quality outputs in a fast paced, data driven environment Ensures Accountability - Takes ownership of data quality, accuracy, and delivery standards Tech Savvy - Adopts and applies modern data technologies to improve efficiency and scalability Manages Complexity - Analyses complex datasets and translates them into clear, actionable insights Credentials and Experience 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role 2+ years of experience working with product and/or customer data 3+ years of hands on experience writing and optimising SQL for data analysis and transformation Experience using Python, R, or similar tools for data analysis and manipulation 1-3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt) Experience transforming raw data into clean, production ready datasets and maintaining technical documentation Experience working with large scale datasets (e.g., high volume event or behavioural data) Exposure to API integrations and data ingestion processes is desirable Demonstrated ability to work effectively in a remote or distributed team environment Legal right to work in the United Kingdom This role is hybrid based in Bath, UK. As the office is a listed building, we do not have a lift so please make us aware so we can make necessary accommodations. The hiring range for this position is between £35,000 - £39,400 annually, however, base pay offered may vary depending on job related knowledge, skills, experience, and location. Additionally, this position is eligible for an Annual Bonus. Benefits 28 days leave plus UK bank holidays Annual Winter Holiday Break (typically the last week of December) Income protection to support you during long term illness 4x salary Life Assurance Medicash cash back plan Private Medical Insurance Vivup cash back and discounted plan for 1000s of high street stores Cycle to work scheme Paid eye test and money towards glasses Numerous Employee Assistance Programs A social committee that helps us team build and celebrate wins Continuing Education AND Tuition Reimbursement Programs for when you choose to study further in your field as you work Mentorship program and collaboration with veteran leaders Constant opportunities for cross functional training and skill building Uncapped career growth Unlimited LinkedIn Learning Leadership training for people mangers Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the communities we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender, protected veteran status or disabled status or, genetic information.

Your role in a nutshell The DC Reporting Analyst is responsible for delivering accurate, timely, and insightful reporting and analysis to support Distribution Center (DC) operations and Supply Chain decision making. This mid level role plays a key part in forecasting, capacity and space planning, and KPI performance management, leveraging strong systems and analytical skills to drive visibility, efficiency, and continuous improvement across the DC. This role offers growth opportunities into senior reporting, Supply Chain analytics, planning, or operations leadership roles. More about the role Reporting & Analytics Maintain, enhance, and evolve existing DC operational reports and Power BI dashboards Ensure data accuracy, integrity, and consistency across reporting outputs Manage recurring and ad hoc reporting requests for DC and Supply Chain leadership Extract and analyse data from SAP and related warehouse systems Forecasting, Capacity & Space Planning Maintain and refine volume, labour, and throughput forecasts using historical trends and business inputs Support capacity planning and resource modelling for DC operations Analyse space utilisation, storage capacity, and inventory profiles to support planning decisions Identify operational risks, constraints, and improvement opportunities related to volume, labour, or space Own tracking and reporting of key DC and Supply Chain KPIs (e.g., productivity, utilisation, service levels, inventory accuracy, cost metrics) Perform variance analysis and root cause identification for KPI performance Partner with Supply Chain and Operations teams to support KPI driven improvement initiatives Track results and benefits of improvement actions Collaboration & Process Optimization Collaborate closely with Supply Chain, Operations, Finance, and IT stakeholders Improve reporting processes through automation, standardisation, and system enhancements Document reporting logic, data sources, and forecasting assumptions What we look for Required Qualifications Bachelor's degree in Supply Chain, Business, Analytics, Information Systems, or a related field (or equivalent experience) 3-5 years of experience in DC reporting, Supply Chain analytics, or operations planning Advanced proficiency in Microsoft Excel (complex formulas, pivot tables, data modelling) Ability to analyse large datasets and translate insights into actionable recommendations Preferred Qualifications Strong experience with Power BI (data modelling, DAX, dashboard development) Hands on experience working with SAP (WM, EWM, or related modules preferred) Basic SQL or data warehousing experience Familiarity with forecasting or planning tools integrated with SAP Experience in continuous improvement or performance management environments Supply Chain and DC analytics Forecasting and capacity planning Space utilisation and inventory profiling KPI design, tracking, and performance management Strong IT and systems aptitude Data visualisation and stakeholder communication As well as a competitive salary, you can look forward to a 6% non contributory pension plan, 23 days holiday, 50% staff discount and access to product sample sales, access to Perks at Work, our online shopping channel with exclusive deals & discounts, as well as LOVE money to spend on your wellbeing and personal development.

Job overview We are seeking a highly skilled candidate with exceptional and demonstrable technical abilities in SQL, capable of developing robust reporting solutions to meet varied customer requirements. The successful applicant will have a minimum of 3 years experience working with SQL, databases and data warehouses to produce reports and scope for improvements. Understanding of RiO and other patient management systems will be advantageous. Therefore proven experience in extracting, merging, and manipulating datasets from multiple IT platforms is essential, alongside a track record of solving complex data quality issues. The role demands a thorough understanding of SQL, operational standards, information datasets, and key performance measures, working collaboratively with clinicians, managers, and staff to deliver data-driven insights and champion the roll-out of the Business Information System (BIS). This is fixed term maternity cover for 12-15 months This vacancy may be closed before the advertised end date if a high volume of applications are received Main duties of the job Develop, code, test, and implement efficient and reliable database schemes, as well as SQL queries, views, stored procedures, and triggers to support business intelligence initiatives Utilise tools such as SQL, SQL Server Reporting Services (SSRS), Excel, and Power BI to automate scheduled reporting, organise and prepare data for analysis, and provide actionable insights Assist Performance and Information Manager and Head of Data Services to meet department objectives Line management of junior staff Strong communication and collaboration skills to work with different colleagues, managers and teams Working for our organisation Oxleas offers a wide range of NHS healthcare services to people in community and secure environment settings. Our services include community health care such as district nursing and speech and language therapy, care for people with learning disabilities and mental health care such as psychiatry, nursing and therapies. Our multidisciplinary teams look after people of all ages and we work in close partnership with other parts of the NHS, local councils and the voluntary sector and through our new provider collaboratives. Our 4,300 members of staff work in many different settings including hospitals, clinics, prisons, secure hospitals, children's centres, schools and people's homes. We have over 125 sites in a variety of locations in the South of England. In London we operate within the Boroughs of Bexley, Bromley Greenwich and into Kent. We manage hospital sites including Queen Mary's Hospital, Sidcup and Memorial Hospital, Woolwich, as well as the Bracton Centre, our medium secure unit for people with mental health needs. We are the largest NHS provider of prison health services providing healthcare to prisons within Devon, Dorset, Bristol, Wiltshire and Gloucestershire, Kent and South London. We are proud of the care we provide and our people. Detailed job description and main responsibilities Develop, code, test, and implement efficient and reliable database schemas, as well as SQL queries, views, stored procedures, and triggers to support business intelligence initiatives Utilise tools such as SQL, SQL Server Reporting Services (SSRS), Excel, and Power BI to automate scheduled reporting, organise and prepare data for analysis, and provide actionable insights Manage and organise comprehensive data reports for external submissions e.g. MHSDS, CSDS to NHSE, commissioners, and partners. Act as a source of analytical expertise and advise operational teams on the interpretation of performance information and data standards Provide a high-quality customer focused service to colleagues throughout the Trust ensuring that their information needs are met Play an active role in the monitoring and improvement of information across the organisation Take responsibility for resolving problems with the Business Information System (BIS) on behalf of the directorates Work closely with the development team to ensure that new business and analytical reports meet the needs of internal and external stakeholders Work in collaboration with technical development and initiate service and system enhancements on behalf of the services to meet changing customer demand and in the development and maintenance of BI applications Be highly organised and able to manage his/her own workload in response to changing demands and deadlines Regularly audit own working practices, identify and implement changes to reflect improved ways of working The post holder will be the lead analyst on specific projects and working groups Support the delivery of new/enhanced reporting system developments assisting clinicians and providing training where appropriate Ability to understand and interpret complex adhoc requests and respond appropriately to tight deadlines. This will entail the analysis, investigation and resolution of complex information issues Develop training and guidance for clinicians to support data quality, data definitions and the use and interpretation of BI reporting Ensure that all documentation produced is developed, maintained and published in accordance with departmental standards Share knowledge and experience with other members of department on a regular basis Ability to train and coordinate the work of junior staff in the department, including supervision Using highly developed specialist knowledge of services to enable presentation of complex and contentious reports to clinical colleagues Undertakes any other duties as required which are consistent with the grade and nature of the post Demonstrates a proactive approach to responsibilities and exhibits 'customer focused' thinking Management/Leadership responsibilities Plan and manage the day-to-day work of post holder. Line management of junior staff Deputise for the Performance and Information Manager Liaise with Business and Service Improvement Managers to ensure that all business and analytics reports meet their requirements Assist Performance and Information Manager and Head of Data Services to meet department objectives Leading in various meetings with different stakeholders Responsible for owning and delivering a continuous training programme for the directorates and other areas of the Trust as appropriate Ensure that all reporting protocols are documented Devise best practice principles and assist in the implementation of these across the department Communication and Collaboration Strong communication and relationship skills are essential for this role. The post holder will develop and maintain relationships with directorate colleagues such as business managers, support officers, service managers, and team leaders. Strong written communication skills to produce clear training materials and reports. May liaise with BSU and local authority staff to address reporting queries. Hold meetings as needed across the organisation to manage data matters. Delivers complex business and analytical information in various formats across the Trust and be able to adapt communication to suit the audience. Ensures that potentially contentious and sensitive information is clearly communicated especially where there may be barriers to understanding. Regularly assesses directorate needs through research and surveys, then applies findings to enhance personal, Trust, and departmental performance. General Proactively manage and discharge the responsibilities of the post through organising own workload, priorities, and deadlines Commit to service improvement, effective change management and excellent communication skills Understand health-related and service provision issues in all service directorates within Oxleas Work in accordance with Trust Policies and Procedures at all times Always follow the Trust's Information Security Policy and avoid any actions that could breach confidentiality Attend meetings as required Education/Qualifications Masters Degree or Equivalent Experience 3-5 years Experience External Data Collections/Submissions MHSDS, CSDS, NHSE etc Technical Skills SQL Server SSRS, SSAS, SSIS PowerBI MS Office IT Systems and Databases Other Skills Management/planning/organisational skills We are committed to creating an inclusive workplace that welcomes and supports individuals of all abilities. All applicants will receive a fair and equal opportunity under the Equality, Diversity and Inclusion policy.

Hello, we are Red Engine, the team behind theaward-winning global brands Flight Club and Electric Shuffle. We're obsessedwith disrupting the hospitality industry by creating and delivering the bestpossible experience - across all venues, products and brands. Our central team covers the full spectrum of skills needed to bring eachconcept to life - from design to marketing, sales to interior design, peopleand training, to finance, gaming and HR and everything in between. We'renot just a team of people, we are dreamers, artists, rocket scientists, contentcurators, forward thinkers and the industry's finest. We love what we do andare proud to be included in the Sunday Times Best Places to Work 2025. With a total of 19 incredible venues throughout theUK, and a further 16 around the globe, we have ambitious plans and arepassionate about developing new and exciting products, which means we're alwaysgrowing and looking for passionate people to join the family. The Job As a SeniorData Engineer, you will be working in the Red Engine Business Intelligenceteam, helping to build out the existing data and analytics platform. This roleis placed within a small team, allowing the successful candidate design freedomin implementing bespoke features and enhancements to our data platform usingthe latest technology. In this role you will assist other engineers in the developmentof the data platform. This includes meeting with key business stakeholders togather technical requirements and implementing these requirements intotechnical data solutions within the Data & Analytics platform. Key responsibilities will include: Developing and maintaining data pipelines to orchestrate the ingestion of data from disparate source systems into a centralised data analytics platform. Designing and implementingdata engineering solutions using T-SQL, Python, PySpark and DBT in the Azurecloud environment. Working with Data Analystsin promoting business logic into DBT data models, to support business reportsand dashboards. Maintaining and leveragingCI/CD deployment pipelines to promote application code into higher tierenvironments. Maintaining and updatingthe technical documentation suite in Azure DevOps. To be successful in this role, you'll: D emonstrate solid experience developing of ETL/ELT ingestion pipelinesto handle data movement, transformation and visualisations from structured andunstructured sources. Have experiencewith the Azure Platform including: DataIngestion: Azure Data Factory (ADF), Databricks, Logic Apps and Function App DataStorage: ADLS, SQL Server and Unity Catalog (Medallion Architecture) Strongunderstanding of the Databricks Platform including managing, developing anddeploying workflows, jobs and notebooks. Provenexperience in modelling data in a Data warehouse using an Inmon or Kimballapproaches. Databasedevelopment experience in SQL Server including the creation of stored proceduresin T-SQL or a similar enterprise database toolset. Experienceworking in an Agile software development framework. Excellentworking knowledge of Data Build Tool (DBT) with a demonstrated ability indeveloping data models, contracts, tests, validation, and transformations Experienceworking with modern data distributed file formats (i.e., Parquet, Delta,Iceberg, Hudi) Demonstratedexperience with building data ingestion pipelines from REST API data sources. Strongability to produce technical documentation that can be understood by bothtechnical and non-technical audiences Strong working understanding in CloudAdministration and/or Database Administration. Experience with IaC solutions usingTerraform, Pulumi or similar tools. Experience with modern CI/CD DevOpsframeworks. Experience working with the MS Fabricplatform. What you'll get: Competitive pay Annual bonus 33 days annual leave inclusive of BankHolidays Fusion working (our team are regularly in ourvenues, working collaboratively in our bright offices in Angel, or focusing onindividual projects with work from home Thursdays) Staff discount in all venues (50% off Sunday,Monday, 25% off Tuesday - Saturday, and free game hire) Regular team socialsand weekly lunch invenue Monthly learning and development classes, quarterlyteambuilding events Summer and Christmas socials 24/7 health support Free access to therapy, nutritionists, andphysiotherapists Weekly lunch in venue Here at Red Engine, we believe our success beginsand ends with our people. We are committed to a diverse culture where all ourteam feel respected and included. We acknowledge the power that a diverseset of beliefs and perspectives can bring, and that a variety of voicesstrengthens our team, enhances creativity, and drives innovation. We welcomeapplications from candidates of all identities, including individuals ofdifferent races, ethnicities, genders and sexual orientations. If you're passionateabout contributing to a culture of inclusion and collaboration, pleaseapply.

JuniorData Engineer Role Overview: We are seeking a Junior Data Engineer to support the design, build, and maintenance of data engineering solutions within JD Group. Reporting to a Data Engineering Area Lead and working closely with experienced Data Engineers, you will contribute to the development of data pipelines and datasets that support analytics, reporting, AI, and data product use cases. This role is ideal for someone early in their data engineering career who is keen to develop strong technical foundations, learn modern data engineering practices, and grow their capability through hands on delivery, coaching, and collaboration. Responsibilities Support the development and maintenance of data pipelines for ingestion, transformation, and curation of data from a range of source systems Build and enhance datasets and data models under guidance, ensuring they are accurate and fit for analytics and reporting Deliver well scoped data engineering tasks from defined backlogs, with support from more senior engineers Follow agreed development practices and contribute to incremental delivery of data solutions Take ownership of assigned tasks and see them through to completion Technical Skills & Engineering Practices Write clear, maintainable SQL and Python code with guidance and review from senior team members Apply data engineering standards for version control, documentation, and testing Learn and use approved data engineering tools, frameworks, and cloud platforms Support the reuse of common patterns and components within the team Actively develop understanding of pipeline performance, scalability, and cost considerations Data Quality, Governance & Operation Implement basic data quality checks and validation within pipelines Ensure datasets adhere to agreed governance, security, and access control standards Maintain accurate documentation for pipelines, data models, and datasets Support monitoring, incident investigation, and resolution of data issues Learn operational best practices to help maintain reliable data pipelines Collaboration & Communication Work closely with Data Engineers, analysts, BI developers, and data scientists to understand requirements Participate in team ceremonies, design discussions, and code reviews Communicate progress, questions, and issues clearly to your Area Lead and peers Be open to feedback and actively apply it to improve quality and delivery Learning & Development Build core data engineering skills through hands on delivery, training, and mentoring Develop understanding of the business domain and how data supports decision making Learn modern data engineering patterns, tools, and best practices Contribute to knowledge sharing within the team as experience grows Work towards readiness for progression into a Data Engineer role Role Objectives & KPIs Timely and accurate delivery of assigned data engineering tasks Increasing independence and quality of delivered work over time Well documented, reliable contributions to data pipelines and datasets Positive feedback from peers and managers on collaboration and learning Consistent adherence to data engineering standards and best practices Demonstrable progression in technical capability and confidence Skills and Experience Data Engineering experience Working knowledge of SQL and basic Python Understanding of relational data concepts and data modelling fundamentals Experience working with cloud data platforms or warehouses (ideally "GCP") Familiarity with version control (e.g. Git) and basic development workflows Strong desire to learn modern data engineering tools and practices Ability to follow instructions, ask questions, and learn from feedback Strong attention to detail and commitment to data quality

Data AnalystApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115299 Are you passionate about transforming complex data into meaningful insights that drive business decisions? Do you enjoy collaborating with stakeholders across teams to solve problems and deliver impactful analytics solutions? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (RELX - Information-based analytics and decision tools), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role As a Data Analyst, you will deliver actionable insights that help answer complex business questions across the organisation. You will work with diverse data sources and stakeholders to turn data into meaningful information that supports performance and decision-making. Responsibilities Deliver analytical solutions to address complex business questions and support strategic decision-making. Analyse and interpret data from multiple sources, including product usage, customer interactions, sales pipeline, and financial data. Build reports, dashboards, and insights using analytics tools such as Tableau, Excel, and other reporting platforms. Work closely with business stakeholders to gather, clarify, and document requirements. Collaborate with technical teams to combine and validate data from multiple systems into a single, accurate view. Translate business challenges into structured analytical approaches and data models. Manage competing priorities across projects, business-as-usual activities, and ad hoc analytical requests. Communicate findings and recommendations clearly to both technical and non-technical audiences. Requirements Experience delivering ad hoc analysis and business insights using tools such as Excel, Tableau, or similar analytics platforms. Strong analytical and problem-solving skills, with the ability to break down complex business challenges into logical components. Understanding of SQL and relational database concepts, with a willingness to further develop technical expertise. Experience working with large-scale data warehouses and enterprise datasets. Knowledge of database technologies such as Oracle, Teradata, Redshift, or equivalent platforms. Understanding of CRM systems, master data management, and data governance principles. Familiarity with ETL processes, data integration, and data movement concepts. Excellent verbal and written communication skills, with the ability to engage effectively with business stakeholders. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern 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. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting We're looking for a Senior Analytics Engineer to own the analytical foundation for our US Loans team, the fastest-growing area of the business. In this role, you'll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company. The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability. You'll operate with a high degree of ownership, helping shape the modelling layer, improving how analysts work with data, and ensuring our warehouse remains a strategic asset for the business. What you'll be doing Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting. Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation. Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer. Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data. Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively. Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time. Scaling our data infrastructure to proactively support the requirements of a rapidly growing business. Our modern data stack You'll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. What we're looking for We're looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment. More specifically, we're looking for: Essential Strong SQL skills Strong experience with ELT pipelines and transformation at scale, using dbt. Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability. Good judgement in balancing longer-term platform improvements with day-to-day business needs. The ability to spot inefficiencies in existing data workflows and improve them independently. Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows. Desirable Experience with Snowflake or another modern cloud data warehouse. An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns. Fintech or scale-up experience Interview process Initial call with an engineer 15 minute Cognitive Assessment Onsite or Video Interview lasting 90 minutes, comprising of: Introduction of the team and kind of work you could be doing daily Interactive architecture/design exercise Questions you may have about the company, role, etc. A 60 minute chat with this role's primary stakeholders Cultural/behavioural questions Product mindset and ability to collaborate and communicate Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.