90 jobs found

Manager, Data Migration Strategy & Delivery Lead, AI & Data, FS London or Edinburgh based The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Delivery Lead with strong experience in AI and Data solution design and implementation, driving complex Data Migration Strategies, to join our team and drive continued growth and success on a global scale. Joining EY's AI & Data team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and to your career. The opportunity The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in the following core areas which all work closely together: Data Architecture & Engineering - Focusing on next generation data solution architecture design and implementation Data Management & Data Strategy - Supporting our clients with Data Strategy, Data Governance, Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions Your key responsibilities Manage projects and workstreams on complex Financial Services programmes with roles likely to include techno-functional analysis, data strategy, data analysis, solution design, and end to end implementation management. As a Manager you can expect significant people leadership responsibilities and will face off to senior members of client teams. Business development; including the development of long-term trusted advisor relationships with our clients. You will support RFP responses as well as thought leadership that we issue to the market. Lead multi-disciplined teams that could consist of both EY and client staff to scope, shape and deliver core projects Manage and track engagement financials and ensure timely billing to clients Develop our people through coaching, talent development, recruitment and formal performance management Ensure internal risk and admin processes are adhered to Managing development of EY solutions and supporting tools and methods Skills and attributes for success We're looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes for customers, regulators and shareholders. You should have advanced problem-solving skills and the ability to communicate complex ideas effectively, both verbally and in writing. To qualify for the role you must have some or all of the following: Previous FS experience in one or multiple sectors across: Banking, Capital Markets, Insurance and Wealth and Asset Management Advanced knowledge in at least one of our core capabilities of: Data Architecture & Data Engineering Advanced Analytics Cloud Architectures and Tooling Data Management, Data Strategy, Data Governance and Data Quality Ability to communicate effectively (both verbally and in writing) with a diverse set of business and technical stakeholder groups Ability to lead teams and take accountability for delivery Develop and implement a comprehensive data migration strategy to ensure seamless transition of data across systems, minimizing downtime and maintaining data integrity Leverage automation tools and methodologies to enhance efficiency, reduce manual effort, and ensure accurate migration of all data to the new environment, aligning with business objectives and compliance requirements Relevant experience in Cloud Computing Platforms (knowledge of any or all of Azure, AWS, Snowflake and Google would be beneficial) Demonstratable interest and awareness in emerging technologies Experience creating new propositions / assets/ solutions and launching these to the market Hands-on coding experience/strong knowledge in SQL, Python or Scala is preferred What we look for We are looking for highly motivated individuals who are passionate about Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our Data and Analytics team is looking forward to hearing from you. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world.

JobDescription: ThePNE Data Foundations Sr Lead ensures that Pet Nutrition Europe(PNE) has a strong, governed, and scalable data foundation toenable high-quality analytics and insights. This role is criticalin bridging the gap between the AOE D&A data team and PNE,ensuring alignment with global data models, governance principles,and strategic data initiatives such as the DDF (Digital DataFoundation)program. What are welookingfor? Preferrededucation Is a university degree In business orIT Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization. 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake). Provenexpertise in designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics. Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards. Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement. Familiarity withmodern data architectures, including data lakes, data warehouses,and data meshprinciples. Experienceworking with global and regional teams to align on data strategy,governance, and bestpractices. Strongknowledge of data quality frameworks and best practices forensuring high integrity, reliability, and consistency of dataassets. Whatwill be your keyresponsibilities? DataGovernance & Compliance: Ensure all PNE data assetsfollow the governance frameworks, data quality standards, andsecurity policies defined by the AOE D&A datateam. DataModel & Architecture Alignment: Ensure that analytics solutionswithin PNE fully leverage the data models, governance structures,and best practices established at the AOElevel. DataEngineering & Infrastructure: Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases. Collaboration& Stakeholder Management: Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram. DataPlatform Optimization: Workclosely with AOE data teams and PNE analytics teams to optimize thedata infrastructure, ensuring performance, scalability, and costefficiency. Metadata& Asset Management: Driveconsistent metadata management and data asset governance, ensuringdata reliability, accessibility, and standardization acrossPNE. Enablement& Best Practices: Educateand support the PNE teams in data stewardship best practices,ensuring they effectively leverage governed data assets andself-servicecapabilities. Monitoring& Data Quality Assurance: Implement datavalidation, lineage tracking, and anomaly detection mechanisms toensure high data quality across PNE analyticsinitiatives. Whatcan you expect fromMars? Work with diverse andtalented Associates, all guided by the FivePrinciples. Join a purpose driven company,where we're striving to build the world we want tomorrow,today. Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity. An industry competitive salary andbenefits package, including companybonus. Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.

JobDescription: ThePNE Data Foundations Sr Lead ensures that Pet Nutrition Europe(PNE) has a strong, governed, and scalable data foundation toenable high-quality analytics and insights. This role is criticalin bridging the gap between the AOE D&A data team and PNE,ensuring alignment with global data models, governance principles,and strategic data initiatives such as the DDF (Digital DataFoundation)program. What are welookingfor? Preferrededucation Is a university degree In business orIT Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization. 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake). Provenexpertise in designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics. Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards. Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement. Familiarity withmodern data architectures, including data lakes, data warehouses,and data meshprinciples. Experienceworking with global and regional teams to align on data strategy,governance, and bestpractices. Strongknowledge of data quality frameworks and best practices forensuring high integrity, reliability, and consistency of dataassets. Whatwill be your keyresponsibilities? DataGovernance & Compliance: Ensure all PNE data assetsfollow the governance frameworks, data quality standards, andsecurity policies defined by the AOE D&A datateam. DataModel & Architecture Alignment: Ensure that analytics solutionswithin PNE fully leverage the data models, governance structures,and best practices established at the AOElevel. DataEngineering & Infrastructure: Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases. Collaboration& Stakeholder Management: Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram. DataPlatform Optimization: Workclosely with AOE data teams and PNE analytics teams to optimize thedata infrastructure, ensuring performance, scalability, and costefficiency. Metadata& Asset Management: Driveconsistent metadata management and data asset governance, ensuringdata reliability, accessibility, and standardization acrossPNE. Enablement& Best Practices: Educateand support the PNE teams in data stewardship best practices,ensuring they effectively leverage governed data assets andself-servicecapabilities. Monitoring& Data Quality Assurance: Implement datavalidation, lineage tracking, and anomaly detection mechanisms toensure high data quality across PNE analyticsinitiatives. Whatcan you expect fromMars? Work with diverse andtalented Associates, all guided by the FivePrinciples. Join a purpose driven company,where we're striving to build the world we want tomorrow,today. Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity. An industry competitive salary andbenefits package, including companybonus. Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.

JobDescription: ThePNE Data Foundations Sr Lead ensures that Pet Nutrition Europe(PNE) has a strong, governed, and scalable data foundation toenable high-quality analytics and insights. This role is criticalin bridging the gap between the AOE D&A data team and PNE,ensuring alignment with global data models, governance principles,and strategic data initiatives such as the DDF (Digital DataFoundation)program. What are welookingfor? Preferrededucation Is a university degree In business orIT Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization. 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake). Provenexpertise in designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics. Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards. Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement. Familiarity withmodern data architectures, including data lakes, data warehouses,and data meshprinciples. Experienceworking with global and regional teams to align on data strategy,governance, and bestpractices. Strongknowledge of data quality frameworks and best practices forensuring high integrity, reliability, and consistency of dataassets. Whatwill be your keyresponsibilities? DataGovernance & Compliance: Ensure all PNE data assetsfollow the governance frameworks, data quality standards, andsecurity policies defined by the AOE D&A datateam. DataModel & Architecture Alignment: Ensure that analytics solutionswithin PNE fully leverage the data models, governance structures,and best practices established at the AOElevel. DataEngineering & Infrastructure: Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases. Collaboration& Stakeholder Management: Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram. DataPlatform Optimization: Workclosely with AOE data teams and PNE analytics teams to optimize thedata infrastructure, ensuring performance, scalability, and costefficiency. Metadata& Asset Management: Driveconsistent metadata management and data asset governance, ensuringdata reliability, accessibility, and standardization acrossPNE. Enablement& Best Practices: Educateand support the PNE teams in data stewardship best practices,ensuring they effectively leverage governed data assets andself-servicecapabilities. Monitoring& Data Quality Assurance: Implement datavalidation, lineage tracking, and anomaly detection mechanisms toensure high data quality across PNE analyticsinitiatives. Whatcan you expect fromMars? Work with diverse andtalented Associates, all guided by the FivePrinciples. Join a purpose driven company,where we're striving to build the world we want tomorrow,today. Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity. An industry competitive salary andbenefits package, including companybonus. Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.

My client is based in the London area are currently looking to recruit for an experienced Data Modeler to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth and are looking for an experienced Modeler to join their team. They are backed by a huge Multi National equity firm who are looking to bolster my clients financial position. They are expected to see year on year growth, which will allow them to implement and utilise the most in demand and cutting edge technology on the market right now. They have just implemented Gen AI within their organisation are looking to utilise the newest technologies on the market. Your role will include: Responsible for designing and developing conceptual / logical / physical data models for Enterprise scale data lake and data warehouse solutions. Create functional & technical documentation - e.g. data integration architecture documentation, data models, data dictionaries, data integration specifications, data testing plans, etc. Guide, influence and challenge the technology teams and stakeholders to understand the benefits, pros and cons of solution options. Agree and set the technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams. This is a hands on role which requires extensive exposure to cloud technologies. The right candidate will have extensive knowledge of writing codes, building data pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner, Dimensional Modelling) An understanding of SQL/database management. Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around AWS. My client is providing access to; Hybrid 2/3 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

My client is based in the London area are currently looking to recruit for an experienced Data Architect to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth and are looking for an experienced Data Architect to join their team. They are backed by a huge Multi National equity firm who are looking to bolster my clients financial position. They are expected to see year on year growth, which will allow them to implement and utilise the most in demand and cutting edge technology on the market right now. They have just implemented Gen AI within their organisation are looking to utilise the newest technologies on the market. Your role will include: Responsible for designing and developing conceptual / logical / physical data models for Enterprise scale data lake and data warehouse solutions. Create functional & technical documentation - e.g. data integration architecture documentation, data models, data dictionaries, data integration specifications, data testing plans, etc. Guide, influence and challenge the technology teams and stakeholders to understand the benefits, pros and cons of solution options. Agree and set the technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams. This is a hands on role which requires extensive exposure to cloud technologies. The right candidate will have extensive knowledge of writing codes, building data pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner, Dimensional Modelling) An understanding of SQL/database management. Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around AWS. My client is providing access to; Hybrid 2/3 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Our client is looking for a Senior Teradata Engineer to join their team on a transformation project, needing someone with hands on experience with Teradata and other Data warehouses and a deep understanding of Teradata architecture. This role is a six month initial contract, need a candidate that can go to site in London two days a week, with the rest of the days from home. Key Skills Hands-on experience working with Teradata and other Datawarehouses. Deep expertise in Teradata architecture, star schema, snowflake schema, SQL optimization, and Data Modelling. Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient Data loading. Expertise in Teradata utilities Viewpoint, Query Grid, TD Stats, and TDWM. Strong understanding of Data Warehouse concepts and ETL processes. Experience with Teradata performance tuning, workload management (TASM), and partitioning strategies. Experience with Teradata in GCP. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Senior Data Engineer - MS Fabric - Remote - 70k - 75k My client are a leading Data Partner and consultancy looking for an experienced senior data engineer with skills in Microsoft Fabric being the absolute essential here, the Azure Data Platform and Python to join their expanding team in a role which encompasses technical know how and a client-facing skillset. Salary and Benefits Competitive salary of up to 75k (DOE) Annual Performance related bonus of 10% Remote/hybrid working (once every 2 weeks in office) in Edinburgh, Manchester or London hubs 25 days annual leave (plus bank and public holidays) Career progress programme - guaranteed learning and development investment Life insurance Private medical health insurance Contributory pension scheme Role and Responsibilities Possess a wide range of data engineering skills, with a focus on having delivered in Microsoft Azure Develop good working relationships with clients on a project including interpersonal skills with both business and technical focused colleagues. Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment. Delivering high-quality pieces of work, proven ability to escalate problems to client / senior team members where necessary and propose possible solutions. Support building the Consulting practice through contribution to ongoing initiatives. This can include contributing to knowledge-sharing activities, and data services. Demonstrated success in delivering commercial projects leveraging the above technologies. Experience overseeing junior staff, including mentoring, reviewing work, and ensuring project alignment with organisational goals and standards. What do I need to apply for the role Strong in Fabric, Azure Data Factory, Azure Synapse. Expertise in SQL and Python. Experience working with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL / ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines. Experience working with one or more of Spark, Kafka, or Snowflake My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most up to date CV and email me at (url removed) or call me on (phone number removed). Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)

Data Warehouse Lead - £Negotiable + Benefits. Hybrid - 2 Days onsite. Bristol, Permanent, T6/MN/(phone number removed). Role: Design & implementation of ETL/ELT processes. Centralise ERP data into Snowflake. Snowflake Data Warehouse - Architect & develop - support reporting, analytics & incorporate SQL Server. Translate business & technology requirements. System Architecture models. BI & Data - understand, qualify, design, build test & requirements. Transforming, storing & retrieving data. BI Infrastructure & Services - Design, implement & manage. Deliver business Data Insights. Data Analytics, Data Modelling, Warehousing, Data Mining - key point of contact. BI Service delivery - point of escalation. IT Security challenges - risks & technologies. Third-Party providers - partner with external providers - adherence to SLAs. Partner with senior stakeholders - deliver KPI reporting. Experience Required: ETL & ELT tools - data lifecycle. SQL Server & Snowflake - Data Warehousing solutions. Kimball Methodology - support analytics & reporting. Data Migration - mapping to new data sources. Converting business requirements - to technical solution. BI - Power BI SSIS & SSAS (Desirable) Business Systems Reporting (Desirable) ERP - Dynamics AX or IFS - (Desirable) Third-Party providers - collaborate & partner with external providers. Leadership - ability to lead a small DW/BI team. Collaborative approach to teamwork/team player. Stakeholder Engagement - ability to communicate with technical & non-technical stakeholders. Excellent Communication skills.

Data Modeller/Analyst - AWS, SQL, Oracle - 6-Month Contract - Outside IR35 - 500- 525/day - Remote First We're supporting a global transformation programme seeking a skilled Data Modeller/Analyst to support a new data platform build. This is a remote-first role with occasional travel to West London, and sits outside IR35 . You'll lead data analysis, profiling, and modelling activities, working across Finance and HR data domains. The role involves developing logical and physical data models, supporting dimensional modelling for reporting, and ensuring consistency across architecture and governance. Key skills: Proven experience in finance data warehouse implementations Data modelling tools (e.g. Erwin, Sparx EA) Strong SQL, data profiling, and reporting capabilities Cloud experience with AWS, Snowflake, and Power BI/Tableau Familiarity with Oracle, Workday, and enterprise HR systems This is a fantastic opportunity to contribute to a major enterprise data programme with real impact.

AWS Data Engineer Salary: Negotiable to 80,000 Dependent on Experience London: Hybrid working 3 days per week in the office 2 days home-based Job Ref: J12931 A leader in consumer behaviour analytics, seeks a driven AWS Data Engineer to guide data infrastructure architecture, working alongside a small talented team of engineers, analysts, and data scientists. In this role, you'll enhance the data platform, develop advanced data pipelines, and integrate cutting-edge technologies like DataOps and Generative AI, including Large Language Models (LLMs). This is an exciting opportunity for someone looking to challenge themselves in a collaborative environment, working with a breadth of diverse data and cutting edge technologies. You'll have proven experience developing AWS Cloud platforms end to end, orchestrating data using Dagster or similar as well as coding in Python and SQL. Key Responsibilities Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability. Partner with product and engineering teams to define data architecture and best practices for reporting. Ensure data security, compliance, and governance across data systems. Implement and maintain CI/CD pipelines to automate data workflows and enhance system reliability. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and performance. Essential Skills and Experience: Hands-on experience with AWS services, including Lambda, Glue, Athena, RDS, and S3. Strong SQL skills for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in a dynamic environment. Strong communication skills to collaborate with remote teams (US, Canada) Nice to Have Familiarity with LLMs including fine-tuning and RAG. Knowledge of Statistics Knowledge of DataOps best practices, including CI/CD for data workflows. Additional Requirements Candidates must have an existing and future right to live and work in the UK. Sponsorship at any point is not available. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

Senior Java Developer Location: Glasgow, UK (Hybrid - 1 Day a week) Job Type: Permanent, Full-Time (40 hours per week) About the Role Are you a seasoned Java professional looking to make a significant impact in a cutting-edge, global technology team? We're seeking a Senior Java Developer to join our dynamic front-office platform team, where your code will power market-leading business systems. You'll work in a complex, real-time, Linux-based environment, tackling challenges from high-volume event processing to data-driven decision-making. This role is not just about writing code-it's about fueling innovation and supporting exponential business growth. What You'll Do Innovate & Develop: Design, develop, and maintain high-performance, scalable, and secure Java applications that drive our business forward. Build Microservices: Architect robust microservices using Spring Boot and integrate asynchronous processing using Kafka or Message Queues. Database Design: Optimize both NoSQL (MongoDB) and relational databases by designing efficient schemas and writing complex SQL queries. Quality & Ownership: Write clean, efficient, and maintainable code accompanied by unit and integration tests using Junit. Take full ownership of feature development, from concept to production. Collaborate: While you'll thrive working independently, you'll also collaborate with cross-functional teams to solve complex technical challenges and ensure seamless integration across systems. Your Profile Essential Skills & Experience: Java Expertise: Strong background in Java Server-side development with a focus on concurrent programming and core Spring Boot. Testing & Quality: Experience in writing tests using Junit and other frameworks to ensure robust, error-free code. Messaging Systems: Familiarity with message-based architectures (e.g., MQ/Kafka) to handle asynchronous processing. Database Proficiency: Hands-on experience with RDBMS such as Sybase and/or DB2 and writing complex SQL queries. Scripting & Automation: Proficiency in Unix/Linux scripting (Shell/Python) to support development and operations. Problem Solver: Excellent analytical and problem-solving skills, combined with an understanding of the complete software development lifecycle. Communication: Strong written and oral communication skills with a keen interest in understanding the business behind the code. Desirable Skills & Experience: NoSQL Know-How: Experience with MongoDB. Domain Knowledge: An understanding of the Equity Derivative business. Cloud Technologies: Experience with cloud platforms like Azure or AWS. Cutting-Edge Tech: Familiarity with technologies such as Kafka, IBM MQ, Snowflake, or high-performance data caching solutions. Interview Process (3 Rounds) 1st Round Peer to Peer Coding 2nd and 3rd Round Technical Evaluations

Are you a highly skilled Business Analyst with a passion for data and experience in the fund accounting and financial reporting world? A leading global financial institution is seeking a talented individual to join their high-performing data modernisation team in Canary Wharf. About the Role: This 6-month contract offers you the chance to play a key role in delivering and improving data product availability for various business units. You'll be working in an Agile environment, collaborating closely with operational teams and leveraging your expertise to enhance the client experience. Key Responsibilities: Analyse domain data and operational processes, focusing on areas like Fund Accounting, Financial Reporting, and Regulatory Reporting. Collaborate with business, technology, and architecture teams to develop data products and contribute to strategic decision-making. Elicit and document functional requirements, create user stories, and oversee the development and implementation of new functionality. Perform user acceptance testing and support the rollout of new data solutions. Act as a subject matter expert on specific applications, documenting and developing a knowledge base. Collaborate with upstream and downstream teams to solve data challenges and deliver global solutions. Essential Skills and Experience: Proven experience as a Business Analyst with strong analytical and problem-solving skills. Solid operational background in fund administration or financial reporting. A good understanding of Invest One accounting platform and Passport reporting system (or similar financial systems). Hands-on experience with Azure and Snowflake cloud data technologies. Excellent communication and interpersonal skills to effectively work with technical and non-technical teams. Strong organisational and time management skills, with the ability to work independently and prioritise tasks. Benefits: Competitive Rate: 750 per day (umbrella) Dynamic Environment: Be part of a high-performing, Agile team driving data transformation. Global Impact: Contribute to solutions used by a leading financial institution with a global presence. Prime Location: Work in Canary Wharf, a vibrant financial hub in London. If you're a proactive and results-oriented BA ready to make a real impact, apply now! Please submit your CV and a cover letter highlighting your relevant experience. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Job Description: The PNE Data Foundations Sr Lead ensures that Pet Nutrition Europe (PNE) has a strong, governed, and scalable data foundation to enable high-quality analytics and insights. This role is critical in bridging the gap between the AOE D&A data team and PNE, ensuring alignment with global data models, governance principles, and strategic data initiatives such as the DDF (Digital Data Foundation) program. What are we looking for? Preferred education Is a university degree In business or IT Strong background in data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics enablement. Familiarity with modern data architectures, including data lakes, data warehouses, and data mesh principles. Experience working with global and regional teams to align on data strategy, governance, and best practices. Strong knowledge of data quality frameworks and best practices for ensuring high integrity, reliability, and consistency of data assets. What will be your key responsibilities? Data Governance & Compliance: Ensure all PNE data assets follow the governance frameworks, data quality standards, and security policies defined by the AOE D&A data team. Data Model & Architecture Alignment: Ensure that analytics solutions within PNE fully leverage the data models, governance structures, and best practices established at the AOE level. Data Engineering & Infrastructure: Oversee the design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF program. Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: The PNE Data Foundations Sr Lead ensures that Pet Nutrition Europe (PNE) has a strong, governed, and scalable data foundation to enable high-quality analytics and insights. This role is critical in bridging the gap between the AOE D&A data team and PNE, ensuring alignment with global data models, governance principles, and strategic data initiatives such as the DDF (Digital Data Foundation) program. What are we looking for? Preferred education Is a university degree In business or IT Strong background in data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics enablement. Familiarity with modern data architectures, including data lakes, data warehouses, and data mesh principles. Experience working with global and regional teams to align on data strategy, governance, and best practices. Strong knowledge of data quality frameworks and best practices for ensuring high integrity, reliability, and consistency of data assets. What will be your key responsibilities? Data Governance & Compliance: Ensure all PNE data assets follow the governance frameworks, data quality standards, and security policies defined by the AOE D&A data team. Data Model & Architecture Alignment: Ensure that analytics solutions within PNE fully leverage the data models, governance structures, and best practices established at the AOE level. Data Engineering & Infrastructure: Oversee the design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF program. Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: The PNE Data Foundations Sr Lead ensures that Pet Nutrition Europe (PNE) has a strong, governed, and scalable data foundation to enable high-quality analytics and insights. This role is critical in bridging the gap between the AOE D&A data team and PNE, ensuring alignment with global data models, governance principles, and strategic data initiatives such as the DDF (Digital Data Foundation) program. What are we looking for? Preferred education Is a university degree In business or IT Strong background in data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics enablement. Familiarity with modern data architectures, including data lakes, data warehouses, and data mesh principles. Experience working with global and regional teams to align on data strategy, governance, and best practices. Strong knowledge of data quality frameworks and best practices for ensuring high integrity, reliability, and consistency of data assets. What will be your key responsibilities? Data Governance & Compliance: Ensure all PNE data assets follow the governance frameworks, data quality standards, and security policies defined by the AOE D&A data team. Data Model & Architecture Alignment: Ensure that analytics solutions within PNE fully leverage the data models, governance structures, and best practices established at the AOE level. Data Engineering & Infrastructure: Oversee the design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF program. Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Why Join Them? Standing still is not an option in the current world of insurance. They are one of the world s leading specialty insurers, with deep expertise in their chosen lines of business, a solid balance sheet, and an unparalleled track record. They approach risk evaluation and management like no one else in the industry. Their core values focus on empowering their people, delivering on commitments, and providing creative and innovative solutions to their clients. Job Purpose: They are in the midst of an IT transformation and are shifting towards a product-centric operating model. As a Senior Developer with experience in Agile and DevOps working, you will be part of a dynamic development team. You will analyze, develop, troubleshoot, design, assemble, and deliver solutions that provide real value to the business. Your role will focus on producing high-quality software releases and supporting the required artefacts. You ll be guided by collective knowledge, tools, methods, and standards to ensure the best practices are followed. Key Responsibilities: Develop and implement high-quality solutions for the core Data Warehouse. Utilize best practices throughout the SDLC process to ensure changes are managed end-to-end. Enhance the data richness and level of data used by the business. Develop, update, and maintain technical documentation for software projects. Resolve service defects and incidents, performing root-cause analysis. Collaborate with business partners to understand requirements and translate them into fit-for-purpose solutions. Assist in the implementation of change using main technologies deployed in the warehouse. Participate in architecture, technical design, and product implementation discussions. Contribute to Agile meetings throughout the development cycle. Support Data Operations solutions according to agreed service management processes. Performance Objectives: Prioritize user needs and overall customer experience when developing Data Operations solutions. Proactively identify and solve problems. Deliver high-quality data solutions with minimal defects. Prioritize work effectively to ensure maximum value is delivered in each 'sprint.' Skills and Experience Specification: Essential: Extensive knowledge of data warehousing, including physical modeling, ETL, ELT, CDC, semantic layers, and reconciliation principles. Strong SQL knowledge. Proficient in Python, Terraform, Snowflake, and AWS. Experience in monitoring, automated testing, reporting design, and dashboarding. Critical thinking and a proactive approach. Desirable: Knowledge of the insurance industry and London market insurance. Experience with Data Vault 2.0. Relevant qualifications, such as Chartered Institute of Insurance certifications or Lloyd's LLMIT. What They Offer: They offer a competitive salary and an attractive employee benefits package. As a successful and growing organization, they seek energetic and confident individuals to join their professional team. They are an equal opportunity employer and are committed to providing a diverse and inclusive work environment.

Network & Security Manager 6-month contract The Network & Security Manager will work closely with the broader Technology Team, particularly the Digital Technology Team, to lead, manage, and evolve their infrastructure and security operations. Your expertise will drive their enterprise security architecture, service delivery, compliance, and business continuity planning. Key Responsibilities for the Network & Security Manager: Lead and manage infrastructure and security operations, ensuring alignment with business objectives and regulatory requirements. Oversee security vulnerability management, incident response, and enterprise security architecture design. Drive the implementation and maintenance of infrastructure technologies, including cloud environments, network security, and endpoint management. Develop and execute Business Continuity Plans (BCP) and Disaster Recovery Plans (DRP). Collaborate with cross-functional teams to enhance security posture and IT service delivery. Experience & Skills Required by the Network & Security Manager Service & Security Expertise: Proven ability to deliver service level agreements (SLAs) and manage application/infrastructure service delivery. Hands-on experience in troubleshooting infrastructure issues and handling security vulnerabilities. Technical Mastery: Strong understanding of IP, TCP/IP, and network administration protocols. Expertise in Windows servers, SQL databases, and monitoring tools like SolarWinds. Nutanix HCI, AWS, Microsoft Azure, SD-WAN, Cisco WLC, Ubiquiti, and Meraki wireless. Cisco ISE, Palo Alto Firewalls, GlobalProtect VPN, 802.1x, Microsoft AD, GPOs, and system management tools like Quest KACE. Cloud security knowledge, including Akamai cloud firewall protection. Cloud & Modern Tech Stack Knowledge: Solid AWS cloud architecture expertise, including: Serverless and event-driven orchestration Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines Modern data lakes, AI concepts, and databases (Snowflake, relational & non-relational) Security Leadership & Compliance: Experience in enterprise security architecture and security document creation. Ability to design and deliver security awareness training across the organization. Agile & Strategic Thinking: Extensive experience working in agile environments. Ability to translate security and infrastructure needs into business-focused solutions. To discuss this exciting Network & Security Manager opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Connor Smal, by exploring the VIQU IT Recruitment website. To be the first to hear about other exciting opportunities, technology, and recruitment news, please also follow us at VIQU IT Recruitment on LinkedIn, and

Contract Opportunity: Lead Snowflake Developer / Architect (Outside IR35) Day Rate: 550 to 650 per day Location: UK Wide - Hybrid Flexible Working Model (Remote and On-site) Engagement: Contract, Outside IR35 Duration: 6 months initially, with potential for extension The Client: Our client is a global leader in Systems Integration and IT Consultancy. Renowned for their advanced and respected industry-wide Insights and Data Practice, they provide consultancy services, advice, proof-of-values, and industrialised solutions across public, CPG, retail, manufacturing, and utilities sectors. The Role: We are seeking a highly experienced Lead Snowflake Developer to join our client's Emerging Tech Team. This role is pivotal in leveraging cutting-edge AI technology and implementing Snowflake solutions to enhance our clients' data platform capabilities. Essential Skills and Experience: Proven track record in global projects implementing AWS, GCP, and Azure platform components on multi-tenant Snowflake DWH. Expertise in developing enterprise-grade ELT data pipelines within Snowflake. Strong command of data manipulation/wrangling techniques. Adherence to Snowflake best practices including coding practices to DS, unit testing, version control, and code review. Experience working with global teams and Agile delivery methodologies. In-depth knowledge of Snowflake Data Warehouse/Platform, including: Building logical and physical data models. Mastery of Snowflake Objects (Databases, Schemas, Tables, and Views), Zero copy cloning, and Time Travel. Sizing and managing Multi-Cluster Warehouses for performance/cost optimisation. Developing Stored Procedures, Functions, Internal and External stages, and efficient Snowpipe data pipelines. Comprehensive understanding of the Snowflake Security model and rules. Proficiency in SQL in Snowflake, SnowSQL, and the ability to optimise performance through SQL Explain plans. Experience in designing structures to support reporting solutions optimised for tools like Qlik, Looker, Tableau. SnowPro certification is highly desirable or a strong intent to become certified. Why This Role: This contract offers the chance to work with a prestigious consultancy, driving significant innovation in data solutions. The role is outside IR35, providing the flexibility of contract work with the stability of a potential long-term engagement. Interested candidates are invited to apply directly. Please include your current CV, availability, and a brief explanation of your qualifications related to the essential skills listed.