176 to 200 of 409 Data Modelling Jobs in the City of London

Social network you want to login/join with: Data Scientist/ML Engineer, London (City of London) Client: Location: London (City of London), United Kingdom Job Category: Other EU work permit required: Yes Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Synechron is looking for a Senior Data Scientist/ML Engineer to join their … Data and AI Practice to work on a multi-year AI programme within a leading financial institution. The primary responsibility is to extract actionable insights from complex data using advanced statistical analysis, machine learning, and data modeling to support strategic decision-making. Responsibilities: Develop and implement machine learning models and algorithms Extract meaningful insights from large, complex … datasets Deploy and maintain models using MLOps best practices Collaborate with cross-functional teams to understand data needs Utilise data visualisation tools to communicate findings effectively Work with SQL and cloud platforms (Azure) for data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Requirements: Strong proficiency in Python and machine More ❯

Principal Data Engineer Salary: £100,000 + 15% Bonus Location: Central London, 2 days in office We’re hiring on behalf of our client, a global leader in personalized photo products, for an experienced Principal Data Engineer to join their UK data & ML team. This is a senior hands-on leadership role driving data platform strategy … and engineering standards as they evolve toward de-centralised data and ML adoption. Role overview: You’ll play a central role in re-architecting and scaling their data platform to meet growing business and customer needs. This includes building robust, observable data pipelines, ensuring data trustworthiness, and mentoring a team of engineers while collaborating closely with … Product, Ops, and Marketing stakeholders. Key responsibilities: Lead design and build of scalable, cloud-native data solutions with best-in-class governance and observability Define technical principles and data engineering standards across distributed teams Coach data and analytics engineers on SDLC best practices (CI/CD, testing, versioning) Contribute to strategic planning and technical roadmaps in collaboration More ❯

Principal Data Engineer Salary: £100,000 + 15% Bonus Location: Central London, 2 days in office We’re hiring on behalf of our client, a global leader in personalized photo products, for an experienced Principal Data Engineer to join their UK data & ML team. This is a senior hands-on leadership role driving data platform strategy … and engineering standards as they evolve toward de-centralised data and ML adoption. Role overview: You’ll play a central role in re-architecting and scaling their data platform to meet growing business and customer needs. This includes building robust, observable data pipelines, ensuring data trustworthiness, and mentoring a team of engineers while collaborating closely with … Product, Ops, and Marketing stakeholders. Key responsibilities: Lead design and build of scalable, cloud-native data solutions with best-in-class governance and observability Define technical principles and data engineering standards across distributed teams Coach data and analytics engineers on SDLC best practices (CI/CD, testing, versioning) Contribute to strategic planning and technical roadmaps in collaboration More ❯

Synechron is looking for a Senior Data Scientist/ML Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution. The roles primary responsibility is to extract actionable insights from complex data. Using advanced statistical analysis, machine learning, and data modeling, you will support … and implement machine learning models and algorithms Extract meaningful insights from large, complex datasets Deploy and maintain models using MLOps best practices Collaborate with cross-functional teams to understand data needs Utilise data visualisation tools to communicate findings effectively Work with SQL and cloud platforms (Azure) for data management and deployment Apply expertise in computer vision, large … in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment Experience with computer vision and LLM applications Skilled in statistical analysis and data visualisation techniques Hands-on experience with SQL and Azure cloud platform Knowledge of MLOps practices for scalable and reliable model deployment Excellent analytical and communication skills Multi- year Project More ❯

Synechron is looking for a Senior Data Scientist/ML Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution. The roles primary responsibility is to extract actionable insights from complex data. Using advanced statistical analysis, machine learning, and data modeling, you will support … and implement machine learning models and algorithms Extract meaningful insights from large, complex datasets Deploy and maintain models using MLOps best practices Collaborate with cross-functional teams to understand data needs Utilise data visualisation tools to communicate findings effectively Work with SQL and cloud platforms (Azure) for data management and deployment Apply expertise in computer vision, large … in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment Experience with computer vision and LLM applications Skilled in statistical analysis and data visualisation techniques Hands-on experience with SQL and Azure cloud platform Knowledge of MLOps practices for scalable and reliable model deployment Excellent analytical and communication skills Multi- year Project More ❯

to find out how you could enhance your skills and gain valuable experience, by joining us to support our clients transition to a sustainable future. Role Summary The Product Data Lead is a critical role in the capturing and building of a single Product Taxonomy across SMBC within EMEA. This role will help SMBC to develop a deeper understanding … the many facets of Banking Products. The role will require working with stakeholders across all functions to dive into the Product lists held locally and ensure fit-for-purpose data, as we look to leverage best practice across the industry. The role also requires an ability to educate and convince stakeholders at all levels on the essential nature of … this role and the long-term benefits of the work being undertaken. Business Area The EMEA Data Office sits within the Operations, Planning and Data Department, covering all EMEA entities (including Securities and Banking subsidiaries) and all datasets. This team is responsible for defining and implementing the EMEA Data Strategy and building out its data management More ❯

to find out how you could enhance your skills and gain valuable experience, by joining us to support our clients transition to a sustainable future. Role Summary The Product Data Lead is a critical role in the capturing and building of a single Product Taxonomy across SMBC within EMEA. This role will help SMBC to develop a deeper understanding … the many facets of Banking Products. The role will require working with stakeholders across all functions to dive into the Product lists held locally and ensure fit-for-purpose data, as we look to leverage best practice across the industry. The role also requires an ability to educate and convince stakeholders at all levels on the essential nature of … this role and the long-term benefits of the work being undertaken. Business Area The EMEA Data Office sits within the Operations, Planning and Data Department, covering all EMEA entities (including Securities and Banking subsidiaries) and all datasets. This team is responsible for defining and implementing the EMEA Data Strategy and building out its data management More ❯

Power Automate, including flow logic, custom connectors, and integration with external services Experience working with REST APIs, OAuth2/Graph authentication, and JSON schema manipulation Advanced SQL capabilities for data modelling, query optimization, and performance tuning Hands-on with Azure Document Intelligence and AI Builder tools Proficient in Power BI, including data modelling, DAX, and deployment … document classification processes Develop intelligent workflows leveraging AI Builder and hybrid logic frameworks Engineer low-maintenance pipelines capable of processing 200+ document formats Contribute to predictive analytics projects and data-driven decision-making Design API-first integrations with property management and financial platforms Interested!?! Please send your up to date CV to Dean Sadler-Parkes at Crimson for immediate More ❯

Power Automate, including flow logic, custom connectors, and integration with external services Experience working with REST APIs, OAuth2/Graph authentication, and JSON schema manipulation Advanced SQL capabilities for data modelling, query optimization, and performance tuning Hands-on with Azure Document Intelligence and AI Builder tools Proficient in Power BI, including data modelling, DAX, and deployment … document classification processes Develop intelligent workflows leveraging AI Builder and hybrid logic frameworks Engineer low-maintenance pipelines capable of processing 200+ document formats Contribute to predictive analytics projects and data-driven decision-making Design API-first integrations with property management and financial platforms Interested!?! Please send your up to date CV to Dean Sadler-Parkes at Crimson for immediate More ❯

Senior Data Engineer Salary - £70-80k with 15% bonus Hybrid working – couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous … but not necessary Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers to power reporting and analytics Collaborate with stakeholders, product owners, and developers Create and maintain data models that serve as a foundation for reporting and analytics Monitor performance metrics and troubleshoot issues within the data architecture, ensuring optimal health and efficiency. Skills and Experience: Bachelor More ❯

col-wide Job Description: Salary - £70-80k with 15% bonus Hybrid working – couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessary … Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation … storage, and cost optimization. Deliver data to presentation layers to power reporting and analytics Collaborate with stakeholders, product owners, and developers Create and maintain data models that serve as a foundation for reporting and analytics Monitor performance metrics and troubleshoot issues within the data architecture, ensuring optimal health and efficiency. Skills and Experience: Bachelor’s degree or More ❯

resilience. Provide architectural guidance on security, compliance, and governance in cloud solutions. Collaborate with stakeholders to create digital roadmaps for long-term cloud transformation. Design conceptual, logical, and physical data architectures that support business and analytics needs. Implement data cataloging and data governance frameworks to enhance data discovery, lineage tracking, and compliance. Define data modeling … standards, ensuring alignment with business intelligence, AI/ML, and analytics strategies. Develop data security frameworks, including encryption, access control, and data masking. Support data migration and transitioning strategies, ensuring minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon … Platform (GCP). Enterprise Architecture: Proven ability to design and implement end-to-end cloud solutions, including multi-cloud and hybrid models. Strong knowledge of conceptual, logical, and physical data modeling. Experience in data cataloging, data lineage, and governance frameworks. Hands-on experience with cloud-based databases, data lakes, and data warehousing solutions. Expertise in More ❯

A leading, technology-focused, multi-strategy Hedge Fund are seeking a Senior Data Engineer (Front Office) to join their innovative and highly experienced team Essential Skills: 5+ years of experience with a proven track records of building data platforms Expert-level Python and SQL skills (C++ experience is a plus, but not essential) Interest in contributing to Cloud … culture, merging technology and research to solve some of the most complex challenges and deliver high-quality returns. This flexible role (2 days WFH) involves building and supporting bespoke data solutions for Quants and Traders, and developing a scalable, global Data Lakehouse used by multiple trading desks. You’ll design and implement data pipelines in Python within … an AWS cloud environment, working on data modelling for large-scale Data Lake and OLAP systems. Key responsibilities will include optimising performance in cross-region setups, ensuring data completeness and quality, and contributing to the software and infrastructure design. This intellectually stimulating and fast-paced role provides a unique opportunity to work at the heart of More ❯

Job Description Role Overview: Rate- 350-400 Outside IR 35 We are looking for an experienced Data Analyst with a background in the UK public sector to join our team. The successful candidate will play a key role in transforming complex data into clear insights and actionable dashboards to support public service delivery and strategy. Key Responsibilities: Analyse … and interpret large datasets to identify trends, patterns, and insights that inform decision-making. Build and maintain interactive and insightful Power BI dashboards tailored to stakeholder needs. Clearly present data findings through visualizations and reports for both technical and non-technical audiences. Collaborate with service teams to understand their data requirements and help translate them into effective analytics … solutions. Ensure alignment with public sector data governance standards and security protocols. Essential Skills & Experience: Strong experience working as a Data Analyst , preferably within the UK public sector . Proven ability to understand, analyse, and present data clearly and accurately. Proficiency in Power BI for designing dashboards and data visualizations. Excellent knowledge of SQL and data More ❯

Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to … deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. Data Engineering • Develop … maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to support ML workflows. • Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation. • Align data infrastructure with business needs and product strategy for PAI and More ❯

Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to … deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. Data Engineering • Develop … maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to support ML workflows. • Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation. • Align data infrastructure with business needs and product strategy for PAI and More ❯

Company Description Our client works with consumer goods companies to harness their data sources, drive growth, and deliver actionable insights. The company platform is built by Commercial professionals for Commercial professionals, offering flexible and scalable solutions tailored to clients' needs. The Clear View solutions cover Retail, Out of Home, E-Commerce, and Field Sales, driving sales and saving time … meetings in shared co-working spaces on an ad hoc basis. Role Description The Power BI Developer will be responsible for developing business intelligence solutions using Power BI, creating data visualizations and implementing data models. The role involves collaborating with stakeholders to understand business requirements and optimise data processes. Qualifications Computer Science and Software Development skills Proficiency … in Power BI, data visualizations and data modelling Experience in creating interactive reports and dashboards Strong analytical and problem-solving skills Ability to work independently and in a team environment Bachelor's degree in Computer Science or related field Required Skills Data Analysis Data Visualization Data Storytelling Power BI Reports Developing to UI Guidelines More ❯

Company Description Our client works with consumer goods companies to harness their data sources, drive growth, and deliver actionable insights. The company platform is built by Commercial professionals for Commercial professionals, offering flexible and scalable solutions tailored to clients' needs. The Clear View solutions cover Retail, Out of Home, E-Commerce, and Field Sales, driving sales and saving time … meetings in shared co-working spaces on an ad hoc basis. Role Description The Power BI Developer will be responsible for developing business intelligence solutions using Power BI, creating data visualizations and implementing data models. The role involves collaborating with stakeholders to understand business requirements and optimise data processes. Qualifications Computer Science and Software Development skills Proficiency … in Power BI, data visualizations and data modelling Experience in creating interactive reports and dashboards Strong analytical and problem-solving skills Ability to work independently and in a team environment Bachelor's degree in Computer Science or related field Required Skills Data Analysis Data Visualization Data Storytelling Power BI Reports Developing to UI Guidelines More ❯

Location: London (City of London), United Kingdom Client: Cpl Life Sciences Job Details: Hybrid – London Up to £350 a day Inside IR35 6 Months Key Skills: SQL Experience in Data or BI space Experience with virtualization tools and data understanding Job Responsibilities: Own and maintain global business-critical reporting, including data structures, ETL pipelines, and reporting tools … like Quicksight or Excel. Translate business requirements into scalable, automated solutions. Provide analysis and insights to support decision-making. Collaborate with Data Engineering and Analytics teams to improve data sources and processes. Experience Requirements: Data analysis with Redshift, Oracle, NoSQL, etc. Data visualization skills with Tableau, Quicksight, or similar. Data modeling, warehousing, and ETL pipeline … development. Statistical analysis with R, SAS, Matlab. SQL and scripting with Python for data processing. Preferred Qualifications: Experience with AWS services like EC2, DynamoDB, S3, Redshift. Experience in data mining, ETL, and handling large datasets in a business environment. Note: The posting date appears to be in the future (16.06.2025), which suggests the listing may be outdated or More ❯

Test Lead Location: London (3 days/week from office) Employment Type: 3 months contract initial Key Skills: ETL Testing Daily Rate: £250 per day (inside IR35) As a Data Test Engineer/ETL tester you would be responsible for validating data sources, extracting data applications of transformation logic, and uploading data in target tables. You … would be responsible for designing, testing, and troubleshooting the company's data storage system before it goes live. Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts Define scope, execution plans, and coordinate test activities Ensure all sign-offs on deliverables (overall test strategy, test plan, test cases, ) and that testing meets … Responsible for ensuring the quality of their work the work of the entire development team Strong experience in of the following technologies preferred -SQL, PYTHON, JavaScript, Java Participate in data conversion Testing and data maintenance, authoring SQL queries to fetch the data between various databases, execute them and analyze the data Create SIT test cases/ More ❯

closely with product, design, and DevOps teams to deliver new features and improve existing systems Write clean, well-documented, and testable code Manage and optimise SQL/PostgreSQL queries, data models, and migrations Ensure high standards of data security, compliance, and performance in financial applications Troubleshoot and debug production issues Participate in code reviews, sprint planning, and technical … with SQL and/or PostgreSQL, including performance tuning and complex queries Prior experience in the FinTech industry is required Familiarity with RESTful API design and integration Understanding of data privacy, security standards, and regulatory compliance relevant to FinTech Experience with version control systems like Git Good communication skills and ability to work in cross-functional teams Experience with More ❯

ACC) as a central governance, coordination, and support function across all airlines within the Group currently operating AMOS. The role will drive strategic alignment of AMOS functionalities, processes, and data structures while maintaining respect for the operational independence of each airline. By enhancing collaboration and harmonisation, the Group AMOS Competence Centre will improve efficiency, enable reliable Group-level insight … central governance, strategy, and support function for AMOS across all Group airlines using the platform. Define and deliver a Group-wide AMOS strategy , balancing harmonisation of processes, configurations, and data models with respect for operational autonomy at OpCo level. Drive the implementation of AMOS-by-Design best practices as recommended by Swiss-AS, ensuring optimal process design and standardisation … assess, and define optimum AMOS-enabled business processes , including the specification of customisations and interfaces necessary for smooth transitions from legacy or fragmented workflows. Reduce or eliminate non-AMOS data silos and control files, improving system integrity, traceability, and user experience. Design and maintain a Group AMOS Core Model , acting as a reference architecture for process, configuration, and integration More ❯

ACC) as a central governance, coordination, and support function across all airlines within the Group currently operating AMOS. The role will drive strategic alignment of AMOS functionalities, processes, and data structures while maintaining respect for the operational independence of each airline. By enhancing collaboration and harmonisation, the Group AMOS Competence Centre will improve efficiency, enable reliable Group-level insight … central governance, strategy, and support function for AMOS across all Group airlines using the platform. Define and deliver a Group-wide AMOS strategy , balancing harmonisation of processes, configurations, and data models with respect for operational autonomy at OpCo level. Drive the implementation of AMOS-by-Design best practices as recommended by Swiss-AS, ensuring optimal process design and standardisation … assess, and define optimum AMOS-enabled business processes , including the specification of customisations and interfaces necessary for smooth transitions from legacy or fragmented workflows. Reduce or eliminate non-AMOS data silos and control files, improving system integrity, traceability, and user experience. Design and maintain a Group AMOS Core Model , acting as a reference architecture for process, configuration, and integration More ❯

the technical solution delivery of Dynamics 365 Customer Engagement Fit/Gap Analysis – identify technical solution for gaps Create detailed technical architecture and design documents for customizations, integrations and data migration Providing guidance to development team and testing team on overall solution. Participate in estimation for changes and enhancements to the system Review of code and review of functional … Ensure adherence to best practice and coding standards in custom development. The ability to understand, support, modify and maintain systems and code developed by other engineering teams. Assist in data migration, data modeling, and entity management within Dynamics 365 Create and maintain technical documentation for customizations, integrations, and system configurations Work closely with functional consultants, business analysts, and … communication skills Ability to work independently Knowledge of SSIS and integration Knowledge of Azure services like Logic Apps and Azure Functions Ability to write and optimize SQL queries for data manipulation Familiarity with Application Lifecycle Management practices and DevOps tools Experience in creating custom reports and dashboards in Dynamics 365 Understanding of user experience principles for CRM interfaces Experience More ❯

Are you a passionate Data Engineering Manager ready to unlock the power of data? Our client is a leading UK-based consultancy seeking a skilled professional to shape data strategies, mentor dynamic teams, and deliver cutting-edge solutions. With hands-on expertise in Spark, SQL, and cloud platforms like Azure, you’ll lead end-to-end projects … drive innovation, and collaborate with clients across industries. What You’ll Do: Lead complex data engineering solutions with technical excellence. Mentor teams and foster a culture of growth and quality. Showcase your expertise in pre-sales and client workshops. Design data pipelines, lakes, and warehouses with best practices. Skills They're Looking For: Proven Data Engineering experience … 5+ years). Consultancy experience is a must. Leadership and multi-project environments experience. Expertise in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points for Microsoft Fabric Any certifications are a bonus. Benefits: Competitive More ❯