1 to 25 of 41 Data Ingestion Jobs in the City of London

Services AI Data Solution Principal (Services Technical PreSales), based London Job Summary: The Services AI Data Solutions Principal is a customer-facing, technical presales leader responsible for driving Dell Technologies' AI and Data Services revenue across a wide portfolio of enterprise customers and industries. This role requires strong technical expertise in AI and associated Data engineering … and Data management disciplines, strong consultative selling skills, executive-level communications, and business development acumen. The candidate will jointly lead and influence customers from initial opportunity discovery through proposal development and deal closure while collaborating closely with Dell sales, delivery, product, and partner teams. This role carries sales pipeline joint-ownership within an aligned pod of professionals, quota-bearing … services portfolio, delivery capabilities, and financial objectives. Entrepreneurial focus to drive innovation, efficiency, process/IP improvement opportunities, coach and enable Dell sales and presales teams on AI/Data solution positioning, capabilities, and value articulation. Build and maintain a strong personal network across Dell's global sales, product, engineering, and partner ecosystem to effectively orchestrate deal success. Customer More ❯

format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “ Application Support Request” Role: Senior GCP Data Engineer. Job Type: Permanent Location: London, UK (Hybrid - 2 days WFO) Number of hours: 40 hours per week – full time We have an exciting opportunity for you as a … GCP Data Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you … thought leadership. Gain access to endless learning opportunities. Lead projects and inspire both colleagues and stakeholders. Lead a team and their technical growth. The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key responsibilities: API Development: Design More ❯

format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “ Application Support Request” Role: Senior GCP Data Engineer. Job Type: Permanent Location: London, UK (Hybrid - 2 days WFO) Number of hours: 40 hours per week – full time We have an exciting opportunity for you as a … GCP Data Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you … thought leadership. Gain access to endless learning opportunities. Lead projects and inspire both colleagues and stakeholders. Lead a team and their technical growth. The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key responsibilities: API Development: Design More ❯

Data Engineer (Hybrid – London, UK) Overview An opportunity for a skilled and motivated Data Engineer to join a growing data engineering team within a fast-paced and innovative environment. This position is ideal for someone who enjoys designing robust, scalable data infrastructure using modern open-source technologies. The role offers exposure to diverse datasets, complex data challenges, and opportunities to influence technical direction and best practices. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools. Build and optimise ETL/ELT processes for small to large-scale data processing requirements. Develop data models and schemas to support analytics, business intelligence, and product needs. Monitor, troubleshoot … and optimise data pipeline performance and reliability . Collaborate with analysts, engineers, and product teams to gather and translate data requirements. Implement data validation and quality checks to ensure data integrity. Participate in architecture discussions and contribute to technical roadmap planning . Skills and Attributes Strong analytical mindset with exceptional attention to detail. Excellent problem-solving More ❯

Data Engineer (Hybrid – London, UK) Overview An opportunity for a skilled and motivated Data Engineer to join a growing data engineering team within a fast-paced and innovative environment. This position is ideal for someone who enjoys designing robust, scalable data infrastructure using modern open-source technologies. The role offers exposure to diverse datasets, complex data challenges, and opportunities to influence technical direction and best practices. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools. Build and optimise ETL/ELT processes for small to large-scale data processing requirements. Develop data models and schemas to support analytics, business intelligence, and product needs. Monitor, troubleshoot … and optimise data pipeline performance and reliability . Collaborate with analysts, engineers, and product teams to gather and translate data requirements. Implement data validation and quality checks to ensure data integrity. Participate in architecture discussions and contribute to technical roadmap planning . Skills and Attributes Strong analytical mindset with exceptional attention to detail. Excellent problem-solving More ❯

Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: £90,000-£100,000 Sector: Fintech We're looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience within the Fintech sector . This role is ideal for someone who began their career as … a Data Analyst and has since transitioned into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You'll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across … the business. This is a hands-on, collaborative role, suited to someone who's confident communicating with data, product, and engineering teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation More ❯

Are you an experienced Data Engineer looking for your next big challenge? Do you have a passion for football? Why not bring the two together? This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Engineer, you’ll join a collaborative, high-performing team with … a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and develop scalable data pipelines and infrastructure that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e … commerce and fan engagement. If you're passionate about using advanced data engineering to drive real-world impact in sport, this is the role for you. Key Responsibilities Architect, design and build scalable and high-performance data pipelines Ensure all systems adhere to best practices for data quality, integrity, and security Integrate modern data engineering tools More ❯

Energy Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs … Monitor, troubleshoot, and optimise data pipeline performance and reliability Collaborate with stakeholders, analysts and product team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills … with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control More ❯

Energy Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs … Monitor, troubleshoot, and optimise data pipeline performance and reliability Collaborate with stakeholders, analysts and product team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills … with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data More ❯

About the Opportunity This is a rare opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data … the football world—including performance insights for some of the most well-known footballers in the industry . This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities Architect, design, build, test, and maintain scalable and high-performance data pipelines Ensure all systems adhere to … best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists, analysts, and performance experts to enable end-to-end data workflows Own the architecture and maintenance of a GCP More ❯

About the Opportunity This is a rare opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data … the football world—including performance insights for some of the most well-known footballers in the industry . This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities Architect, design, build, test, and maintain scalable and high-performance data pipelines Ensure all systems adhere to … best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists, analysts, and performance experts to enable end-to-end data workflows Own the architecture and maintenance of a GCP More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their … workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as … Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their … workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as … Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering More ❯

MI & Data Integration Analyst (Azure/Databricks) 📍 Hybrid – Central London | 💰 £43,000 pro rata | ⏳ 3-month FTC (potential to extend) We’re looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed-term contract . This is a great opportunity for … someone who enjoys combining hands-on data analysis, reporting, and Azure integration work — helping build robust data foundations and self-serve reporting capability for an evolving business area. 🔍 The Opportunity You’ll be supporting a small, forward-thinking team to improve how they use data — helping them access accurate and timely MI, streamline processes, and migrate to … a new Azure-based data environment. You’ll take ownership of reporting improvements, work closely with third-party partners on offshoring data processes, and support the move of key datasets into the Unity Catalog environment. 💼 Key Responsibilities Produce and enhance accurate, timely, and insightful MI reports to support business decision-making. Develop and maintain data tables and More ❯

MI & Data Integration Analyst (Azure/Databricks) 📍 Hybrid – Central London | 💰 £43,000 pro rata | ⏳ 3-month FTC (potential to extend) We’re looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed-term contract . This is a great opportunity for … someone who enjoys combining hands-on data analysis, reporting, and Azure integration work — helping build robust data foundations and self-serve reporting capability for an evolving business area. 🔍 The Opportunity You’ll be supporting a small, forward-thinking team to improve how they use data — helping them access accurate and timely MI, streamline processes, and migrate to … a new Azure-based data environment. You’ll take ownership of reporting improvements, work closely with third-party partners on offshoring data processes, and support the move of key datasets into the Unity Catalog environment. 💼 Key Responsibilities Produce and enhance accurate, timely, and insightful MI reports to support business decision-making. Develop and maintain data tables and More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This … being said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯