1 to 25 of 74 DemandTrendPermanent Data Engineering Jobs in Central London

Principal Data Engineering Consultant Principal Data Engineering Consultant required to join the high-performing, busy Data & Insights practice of a boutique consultancy. This is a superb opportunity to lead and apply your data engineering skills across a variety of client projects. Day-to-Day As a Principal Data Engineering Consultant, you … will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups. You will lead exciting and complex projects that vary in size and complexity, and you will take ownership of deliveries; gathering requirements, understanding … business problems, designing and building solutions, reporting and analysis through to go-live and training. This role will provide you with plenty of opportunities to flex your data skills to help harness solutions and solve problems, and you will get to see the fruits of your labour and the impact the deliveries have on the client. You will be More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data … Main Purpose Lead and develop a high-performing team of 10-15 Engineers delivering robust, scalable risk reporting solutions globally. Key Responsibilities Mentor an international team focused on risk data ingestion, transformation, and reporting. Act as SME in database and reporting solutions, working with Risk stakeholders to meet business needs. Design innovative, fault-tolerant systems for large-scale data More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data … Main Purpose Lead and develop a high-performing team of 10-15 Engineers delivering robust, scalable risk reporting solutions globally. Key Responsibilities Mentor an international team focused on risk data ingestion, transformation, and reporting. Act as SME in database and reporting solutions, working with Risk stakeholders to meet business needs. Design innovative, fault-tolerant systems for large-scale data More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data … Main Purpose Lead and develop a high-performing team of 10-15 Engineers delivering robust, scalable risk reporting solutions globally. Key Responsibilities Mentor an international team focused on risk data ingestion, transformation, and reporting. Act as SME in database and reporting solutions, working with Risk stakeholders to meet business needs. Design innovative, fault-tolerant systems for large-scale data More ❯

VP AWS Data Engineer - Strategic Data Leadership - London - Hybrid Are you a visionary data engineering leader ready to architect the future of market data infrastructure? A global financial institution is seeking a Vice President - AWS Data Engineering to spearhead the development of a next-generation Market Data Store (MDS). This greenfield … initiative offers a rare opportunity to shape the platform from the ground up, leveraging technologies like Databricks, Snowflake, and AWS Glue to solve one of the most complex data challenges in banking. What makes this role stand out? Strategic ownership of a high-impact data platform initiative. Influence cross-functional teams and senior stakeholders. Drive innovation in data architecture, governance, and analytics. Collaborate with data scientists to deploy machine learning models. Gain visibility across multiple business units and sectors. Key responsibilities: Lead the design and implementation of scalable, secure data pipelines and architectures. Define and enforce best practices in data governance, quality, and security. Guide the development of advanced data processing and analysis More ❯

Data Co-Ordinator (AI & Data Governance) Up to £40,000 per annum London (Hybrid, 3 days per week in-office) About the Role La Fosse has partnered with a leading entertainment company who are launching an exciting AI Ethics initiative. We are looking for a Data Co-ordinator to help shape how the company manages and uses … data responsibly. This is a broad, hands-on role covering Data Governance and Data Quality, Data Reporting, DataAnalytics, Visualisation, and some Data Engineering. You will support the set-up of the company's AI Ethics Committee and work across multiple teams to improve reporting, insights, and data practices. Key Responsibilities Support the creation and … ongoing work of the AI Ethics Committee. Improve data governance, data quality, and reporting capabilities. Deliver dashboards and data visualisations to enable informed decision-making (Power BI experience advantageous). Contribute to data engineering and analytics tasks, ensuring accurate and reliable data. Act as a champion for best practice in ethical data use across More ❯

Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solution, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus … to solve complex business and technology challenges, and provide customers with a competitive edge. As a Senior Data Engineer, you’ll feel at home if you are hands on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to … building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and More ❯

Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solution, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus … to solve complex business and technology challenges, and provide customers with a competitive edge. As a Senior Data Engineer, you’ll feel at home if you are hands on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to … building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and More ❯

As a Data Specialist at this tech scaleup in London, you will analyse, collect, sort, and create data solutions that integrate across multiple products. You will steer decisions regarding data and build the models that power their products. You will take client insights and requirements and make them a reality, by developing datasets and operational models to … drive innovation into the product development process. You will interpret your clients objectives, desires, and preferences to help the wider technical team understand the opportunities and apply data engineering responsibilities consistently. You will be working on an interesting range of projects that deliver to National Security customers and as such, you will have to hold the highest level … of UK Security Vetting (DV), upon application. Key Responsibilities: You will blend Data Engineering and Data Science, and will have experience that might cover a number of the tasks listed below: Data Engineering tasks Manage the implementation and development of integrations between the data warehouse and other systems. Create deployable data pipelines that More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services … Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation … and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and DAGs. Write efficient and maintainable Python scripts for data processing, automation, and integration with various data sources and APIs. Ensure data quality, integrity, and governance throughout the data lifecycle. Collaborate with data analysts, data scientists More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services … Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation … and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and DAGs. Write efficient and maintainable Python scripts for data processing, automation, and integration with various data sources and APIs. Ensure data quality, integrity, and governance throughout the data lifecycle. Collaborate with data analysts, data scientists More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. The next … an experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and implement … scalable data pipelines across multiple platforms (ERP, CRM, project management tools, etc.) Develop and maintain ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. The next … an experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and implement … scalable data pipelines across multiple platforms (ERP, CRM, project management tools, etc.) Develop and maintain ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will … and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is … sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team. Perform data cleaning, exploratory data analysis More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will … and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is … sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team. Perform data cleaning, exploratory data analysis More ❯

Lead Data Engineer As a Lead Data Engineer, you'll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: * Develop and execute a data engineering strategy that aligns with organisational goals and technological … advancements. * Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. * Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. * Create and manage Power BI dashboards, reports, and data models to provide strategic insights. * Integrate cutting-edge technologies like AI, real-time analytics, and automation … into our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. * Advanced skills in Power BI, including DAX, Power Query, and data modelling. * Strong programming abilities in Python, SQL, and/or Scala. * Expertise in ETL More ❯

We are seeking an Analytical Data Engineer to join a leading Analytics as a Service (AaaS) provider, supporting clients across energy management, predictive maintenance, HR, and finance. You will transform complex data from multiple sources into actionable insights, creating user-friendly data models and dashboards that empower clients to explore their data independently. This client-facing … role blends data analyst and data engineer skills, including requirement gathering, stakeholder communication, and delivering robust data solutions. Hands-on experience with Power BI, Sisense, Quicksight, and AWS (Sagemaker Unified Studio preferred) is highly desirable. Offering a competitive salary, performance-based bonuses, and fully flexible remote working, this is a fantastic opportunity to shape and lead analytics … projects from onboarding through delivery in a collaborative, fast-growing environment. Analytical Data Engineer Job Overview Cleanse and transform data sets to create one-to-many star schema models from multiple sources. Define fact and dimension tables based on requirements, enabling users to drill down and explore data independently. Proactively search for and review data sources More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering, analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in More ❯

Lead AWS Data Engineer/Architect - Databricks - London I'm working with a globally renowned financial services client that are looking for a seasons Data professional. My client are seen as leaders and pioneers within their relative field but also, a very well known house hold name. They have operations in near enough every country and despite having … top 100 best companies to work for along side many other outstanding accolades. This is a hands on technical role. The successful applicant will be building and maintaining AWS Data pipelines and infrastructure. This is while working with cross functional teams to design best in Class data solutions across the business. As a business, they are very mature … within their data services however, there is always room for improvements so we're looking for an expert to not look to be involved in new processes but equally, help to reverse engineer the existing platform to increase efficiency and performance. This is a salaried position paying up to £130k as a base salary. It's hybrid working with More ❯

A leading Financial Services firm is hiring Analytics Data Engineers to support a major Data Transformation programme. This permanent role offers flexible/remote working and a salary between £50,000 and £70,000. As part of the data engineering team, youll design and deliver scalable data products using technologies like Snowflake, Power BI, Python … and SQL. Your work will enable self-service analytics and support data governance across the business. Key Responsibilities: Develop robust ETL/ELT pipelines and dimensional models for BI tools Define and implement data quality, ownership, and security standards Empower business teams with intuitive, self-serve data models Own data products end-to-end, from design … to continuous improvement Promote innovation and best practices in data engineering About You: Strong experience with SQL, Python, and BI tools (e.g., Power BI) Solid understanding of dimensional modelling and data architecture Experience working in governed, decentralised data environments Excellent communication and stakeholder engagement skills Analytical mindset with a focus on delivering business value If you More ❯

Role Title: Pre-Sales & Data Solution Architect Business Unit/Segment: Data Management Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary Our client, a leading global data and AI consultancy, is seeking a Pre-Sales & Data Solution Architect Lead - hybrid role to become one of their leaders in this area in their Data Management practice with a focus on banking clients . This is a strategic, client-facing role where you will partner with senior stakeholders to modernise data platforms, accelerate cloud adoption, and drive measurable business value. The role combines technical leadership with consulting and pre-sales expertise . You will design enterprise data solutions, shape transformation roadmaps, and … sales process for banking clients, engaging at CIO/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using More ❯

Role Title: Pre-Sales & Data Solution Architect Business Unit/Segment: Data Management Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary Our client, a leading global data and AI consultancy, is seeking a Pre-Sales & Data Solution Architect Lead - hybrid role to become one of their leaders in this area in their Data Management practice with a focus on banking clients . This is a strategic, client-facing role where you will partner with senior stakeholders to modernise data platforms, accelerate cloud adoption, and drive measurable business value. The role combines technical leadership with consulting and pre-sales expertise . You will design enterprise data solutions, shape transformation roadmaps, and … sales process for banking clients, engaging at CIO/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using More ❯

or remote Benefits: Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client … classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools. * Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment. * Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools. * Schedule and automate model retraining pipelines to maintain performance over time. 3. Data Engineering & Preprocessing * Develop and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL. * Prepare and preprocess large datasets to ensure data quality and readiness More ❯

Senior AWS Data Engineer I am working with a leading organisation that is embarking on a greenfield initiative to revolutionise how their data is accessed and utilised. As part of this transformation, they're looking for a highly skilled Senior AWS Data Engineer to join their team and help design and build a cutting-edge data … work on a high-impact project, collaborating with multiple business units and leveraging modern technologies such as Databricks and Snowflake. You'll be at the forefront of solving complex data pipeline challenges while contributing to strategic data architecture decisions. As part of this role, you will be responsible for some of the following areas: Design and build scalable … data pipelines using AWS technologies Collaborate with cross-functional teams to deliver robust data solutions Implement best practices for data governance, quality, and security Process and analyse large datasets using Python and SQL Support the deployment and optimisation of data platforms including Databricks and Snowflake Contribute to the development of the organisation's data strategy More ❯

The Head of Data & Analytics will lead data-driven strategies and provide actionable insights to support business objectives. This role in the analytics department is based in London and requires expertise in data leadership within the business services industry. Client Details This is a permanent opportunity within a large organisation operating in the business services industry. The … company values innovation and utilises data to drive strategic decision-making. The role is based in London, offering a professional environment with a focus on analytics excellence. Description Head of Data & Analytics - London Lead the development and implementation of data strategies to support business goals. Act as a Data Business partner working with depatmental leads and … senior finance stakeholders. Oversee the analytics department, ensuring the delivery of actionable insights. Collaborate with cross-functional teams to align data initiatives with organisational objectives. Identify opportunities to optimise processes through advanced analytics techniques. Ensure data quality, governance, and compliance with industry standards. Support the adoption of data-driven decision-making across the organisation. Present findings and More ❯