1 to 25 of 120 Big Data Jobs in the City of London

We are seeking a highly skilled and analytical Business Intelligence (BI) Specialist to join our Data, Technology, Automation and testing (DTAT) team. The successful candidate will be responsible for designing, developing, and maintaining business intelligence solutions that empower our clients to make data-driven decisions. This role requires a deep understanding of data visualisation, reporting, and analytics … along with proficiency in various BI tools and data management practices. Key Responsibilities: BI Solution Development: Design and develop interactive dashboards, reports, and data visualisations using BI tools such as Power BI (preferred), Tableau, or Qlik. Collaborate with stakeholders to gather requirements and translate them into effective BI solutions. Optimise BI solutions for performance, usability, and scalability. Implement … and manage security protocols to ensure data integrity and confidentiality. Data Analysis and Reporting: Conduct detailed data analysis to identify trends, patterns, and insights. Develop and maintain comprehensive reports and analytics to support business operations and strategic initiatives. Utilise statistical methods and data mining techniques to interpret complex data sets. Provide actionable insights and recommendations More ❯

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯

and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯

and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯

Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This … platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working … with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules More ❯

Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This … platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working … with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules More ❯

D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and … maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps … and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects More ❯

Job Description: Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal … candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at … to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage More ❯

Join to apply for the Data Architect - Senior Manager role at Staging It Data Architecture - Senior Manager - Global Consulting/Advisory - London (Hybrid Working) Robert Half is partnering with a global Business Consulting firm seeking a Senior Manager to join their Data Architecture/Data Analytics department. The firm employs over 9,000 people across … worldwide offices. Our Data practice offers a range of data use cases delivered through various routes, working on the full data lifecycle with skilled professionals. Our solutions include data strategy, governance, analytics, and digitisation. The Role This Senior Manager role involves designing, implementing, and optimizing cloud data solutions. You will collaborate with cross-functional teams … to ensure scalable, secure cloud-based data infrastructure aligned with business goals. Extensive experience with cloud data architecture, data modelling, governance, and platforms like Azure and AWS is required. Senior Managers partner with clients to solve complex problems, provide strategic advice, and develop new opportunities. They possess a strong understanding of client businesses, demonstrate technical expertise, and More ❯

a different format of this document, please get in touch with at [emailprotected] or call TCS London Office number 02031552100 with the subject line: “Application Support Request”. Role : Data Architect Job Type: Permanent (Hybrid) Location: London, United Kingdom Ready to utilize your skills in designing, creating, and managing data architecture? Join us as a Data Architect. … endless learning opportunities. • Be part of an exciting team where you will be challenged every day. • Build strong relationships with a diverse range of stakeholders. The Role As a Data Architect, you will be responsible for designing, creating, and managing data architecture. You will also ensure that data is efficiently and securely stored, organized, and accessible across … the enterprise. Build the foundation for databases, data warehouses, data lakes, and other data storage solutions, ensuring they meet both business and technical requirements. Key responsibilities: - Develop and design the data architecture framework for the organization. - Create models for databases, data warehouses, data lakes, and other storage solutions to store and manage data More ❯

Title : Senior Cloud and Data Solution Architect Work Location: London Experience: 15+Years We at Coforge are hiring Senior Cloud and Data Solution Architect professional with the following skillset: Job Summary: We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground … in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years … of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). More ❯

Title : Senior Cloud and Data Solution Architect Work Location: London Experience: 15+Years We at Coforge are hiring Senior Cloud and Data Solution Architect professional with the following skillset: Job Summary: We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground … in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years … of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). More ❯

tools for musicians and artists to use to promote their music. At un:hurd music, we've created a music-tech platform that uses proprietary technology to turn music data into stronger promotional campaigns for artists. We've created both mobile and web applications which act as the 'digital marketing companion' for independent artists, facilitating data-led promotional … hire responsible for the software development and technical infrastructure needed to design, train, deploy and scale machine learning models in production environments. You will harness a diverse array of data sources, from streaming services to social media, revolutionizing the way artists promote their music. Our Data Team members are full stack data professionals who independently manage projects … across the complete spectrum, from raw data ingestion to deployment, monitoring, and optimization. While this role emphasizes data engineering and ML deployment, you will have the responsibility of managing projects with autonomy across the full data lifecycle. Responsibilities📝 As an ML Engineer at Un:hurd music, you'll be: MLOps and Model Deployment : Own the deployment, maintenance More ❯

tools for musicians and artists to use to promote their music. At un:hurd music, we've created a music-tech platform that uses proprietary technology to turn music data into stronger promotional campaigns for artists. We've created both mobile and web applications which act as the 'digital marketing companion' for independent artists, facilitating data-led promotional … hire responsible for the software development and technical infrastructure needed to design, train, deploy and scale machine learning models in production environments. You will harness a diverse array of data sources, from streaming services to social media, revolutionizing the way artists promote their music. Our Data Team members are full stack data professionals who independently manage projects … across the complete spectrum, from raw data ingestion to deployment, monitoring, and optimization. While this role emphasizes data engineering and ML deployment, you will have the responsibility of managing projects with autonomy across the full data lifecycle. Responsibilities📝 As an ML Engineer at Un:hurd music, you'll be: MLOps and Model Deployment : Own the deployment, maintenance More ❯

Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache … Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions … across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools. More ❯

Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache … Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions … across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools. More ❯

Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at … least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability … response. Ability to be a SPOC for all technical discussions across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have working More ❯

Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at … least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability … response. Ability to be a SPOC for all technical discussions across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have working More ❯

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache … Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions … across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients. Excellent ETL skills, Data Modeling Skills. Excellent communication skills. Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools. More ❯

Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache … Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions … across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients. Excellent ETL skills, Data Modeling Skills. Excellent communication skills. Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools. More ❯

Join a leading multi-strategy hedge fund in London, where we leverage cutting-edge technology and data to drive investment decisions across diverse asset classes. We're looking for a skilled Data Engineer to play a crucial role in building and optimizing our data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. … Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Lead a team of data engineers, providing mentorship and technical guidance. Drive innovation by exploring new technologies and best practices in data engineering. Partake in the on-call support rota. Requirements: Bachelor’s … or Master’s in Computer Science, Engineering, or a related field. 2+ years of experience in data engineering, preferably within financial services. Proficiency in SQL, Python, and big data tools like Spark. Strong understanding of cloud platforms (AWS, GCP, or Azure). Excellent problem-solving skills and a collaborative mindset. More ❯

Join a leading multi-strategy hedge fund in London, where we leverage cutting-edge technology and data to drive investment decisions across diverse asset classes. We're looking for a skilled Data Engineer to play a crucial role in building and optimizing our data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. … Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Lead a team of data engineers, providing mentorship and technical guidance. Drive innovation by exploring new technologies and best practices in data engineering. Partake in the on-call support rota. Requirements: Bachelor’s … or Master’s in Computer Science, Engineering, or a related field. 2+ years of experience in data engineering, preferably within financial services. Proficiency in SQL, Python, and big data tools like Spark. Strong understanding of cloud platforms (AWS, GCP, or Azure). Excellent problem-solving skills and a collaborative mindset. More ❯

We're Hiring: AWS Data Engineer Location: London (2-3 days in office) Experience : 2+ Years Degree: STEM/Business Rate: £225 to 245 a day Umbrella Duration : 6 months contract We're looking for a Data Engineer to help power our innovation engine. You’ll design data models, build scalable ETL pipelines, codify business logic, and … drive data integration across complex systems—structured and unstructured alike. This is your chance to turn raw data into real business value using cutting-edge tech in a collaborative, forward-thinking team. What You’ll Do: Design & implement data models and scalable ETL/ELT pipelines Map data sources, codify business logic, and build data flows Develop data quality solutions & explore new technologies Collaborate with analysts, developers, and business stakeholders What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big More ❯

We're Hiring: AWS Data Engineer Location: London (2-3 days in office) Experience : 2+ Years Degree: STEM/Business Rate: £225 to 245 a day Umbrella Duration : 6 months contract We're looking for a Data Engineer to help power our innovation engine. You’ll design data models, build scalable ETL pipelines, codify business logic, and … drive data integration across complex systems—structured and unstructured alike. This is your chance to turn raw data into real business value using cutting-edge tech in a collaborative, forward-thinking team. What You’ll Do: Design & implement data models and scalable ETL/ELT pipelines Map data sources, codify business logic, and build data flows Develop data quality solutions & explore new technologies Collaborate with analysts, developers, and business stakeholders What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big More ❯