51 to 75 of 140 Data Modelling Jobs in Central London

Senior Data Engineer (SQL BigQuery GCP) London/WFH to £110,000 Are you a data technologist with Media Streaming experience? You could be progressing your career in a senor, hands-on role at one of Europe's most successful streaming and social media platforms. What's in it for you: Salary to £110k Employee stock options plan … the time if desired (x1 month in London) A sociable office environment with free snacks, drinks and lunch if you are in the office Your role: As a Senior Data Engineer you'll design, build and maintain high-performance services for content modelling, serving and integration, develop data pipelines (both batch and streaming) using cloud native tools … and collaborate on rearchitecting the content model to support rich metadata. You'll also build and implement APIs and data services to expose the data to other teams across the business and work with IaC (Terraform) and CI/CD pipelines for deployment and automation. Location/WFH: You'll be able to work from home/remotely More ❯

month Contract Role Remote Working £600 - £700, Inside IR35 We're partnering with a Global IT Partner who are looking for a Databricks Solution Architect to provide guidance on data architecture and design and optimise Databricks solutions. As a Databricks Solution Architect, you will be responsible for: Lead end-to-end architecture of data lakes to Azure with … a core focus on Databricks Provide technical leadership on Databricks Design and implement data pipelines in Azure Databricks, optimizing for performance, cost, and scalability Advise of data lake migration, data modelling and pipeline optimisation Refactor and modernize existing data models to integrate with Power BI Coordinate phased migrations to ensure zero disruption to live operations … Replace legacy tools by consolidating workflows within Databricks and native Azure services Requirements: 10+ years in cloud architecture/engineering with a strong focus on building scalable data pipelines Expertise in Azure Databricks (7+years) including building and managing ETL pipelines using PySpark or Scala (essential) Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands More ❯

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They … combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small … high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. More ❯

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They … combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small … high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. More ❯

Senior Data Engineer - Hybrid - Contract - Outside IR35 Our client is expanding their core data engineering function and hiring two Senior Data Engineers to strengthen a modern, scalable data platform. Both will be Databricks specialists, with one role focused on deep technical delivery and the other combining hands-on engineering with team leadership and upskilling responsibilities. Key … Live Tables (DLT) pipelines across Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and … automate deployments. (For leadership-focused role) Mentor and upskill engineers, define coding standards, and embed engineering excellence across the team. What’s Expected Proven experience delivering end-to-end data pipelines in Databricks and Spark environments. Strong understanding of data modelling, schema evolution, and data contract management. Hands-on experience with Kafka, streaming architectures, and real More ❯

Senior Data Engineer - Hybrid - Contract - Outside IR35 Our client is expanding their core data engineering function and hiring two Senior Data Engineers to strengthen a modern, scalable data platform. Both will be Databricks specialists, with one role focused on deep technical delivery and the other combining hands-on engineering with team leadership and upskilling responsibilities. Key … Live Tables (DLT) pipelines across Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and … automate deployments. (For leadership-focused role) Mentor and upskill engineers, define coding standards, and embed engineering excellence across the team. What’s Expected Proven experience delivering end-to-end data pipelines in Databricks and Spark environments. Strong understanding of data modelling, schema evolution, and data contract management. Hands-on experience with Kafka, streaming architectures, and real More ❯

Miryco is working with a leading player in the Pension and Asset Management market. Job Specification: Business Intelligence Analyst/Data Engineer Department: Business Intelligence/Data Analytics Sector: Pensions & Asset Management About the Role: We are seeking a hybrid Business Intelligence Analyst/Data Engineer to join our data and analytics team within a leading … Pension & Asset Management organisation. This role will play a key part in unlocking the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain … and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations, and reports for business stakeholders. Ensure data accuracy, governance, and security across reporting processes. Work with large datasets from multiple sources (investment, risk, client, operational More ❯

Miryco is working with a leading player in the Pension and Asset Management market. Job Specification: Business Intelligence Analyst/Data Engineer Department: Business Intelligence/Data Analytics Sector: Pensions & Asset Management About the Role: We are seeking a hybrid Business Intelligence Analyst/Data Engineer to join our data and analytics team within a leading … Pension & Asset Management organisation. This role will play a key part in unlocking the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain … and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations, and reports for business stakeholders. Ensure data accuracy, governance, and security across reporting processes. Work with large datasets from multiple sources (investment, risk, client, operational More ❯

A leading London Market Underwriter is looking for a Senior Data Business Analyst to lead the discovery, definition, and delivery of data-focused projects across a well established Change and Transformation function. This role offers the opportunity to take ownership of data processes, reporting, and business intelligence initiatives, while influencing the evolution of the organisation’s Business … Analysis framework. Key Responsibilities: Lead the initiation, discovery, and delivery of multiple data and BI projects, ensuring scope, budget, and timelines are controlled. Play a key role in developing the data business analysis function , with future opportunities to take on leadership and line management responsibilities as the team grows. Collaborate with technical and business stakeholders to capture clear … and actionable requirements using techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and More ❯

A leading London Market Underwriter is looking for a Senior Data Business Analyst to lead the discovery, definition, and delivery of data-focused projects across a well established Change and Transformation function. This role offers the opportunity to take ownership of data processes, reporting, and business intelligence initiatives, while influencing the evolution of the organisation’s Business … Analysis framework. Key Responsibilities: Lead the initiation, discovery, and delivery of multiple data and BI projects, ensuring scope, budget, and timelines are controlled. Play a key role in developing the data business analysis function , with future opportunities to take on leadership and line management responsibilities as the team grows. Collaborate with technical and business stakeholders to capture clear … and actionable requirements using techniques such as data models, data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and More ❯

insurance . In this role, you’ll design and develop BI solutions that deliver meaningful insights to teams across underwriting, claims, actuarial, and finance. Your deep understanding of insurance data—particularly bordereaux, policy, and claims data in the Lloyd’s and London Market—is essential. What You’ll Do Build and maintain advanced Power BI dashboards and visual … reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance … processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance and documentation What We’re Looking For Technical Skills Expertise in Power BI (DAX, Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases More ❯

insurance . In this role, you’ll design and develop BI solutions that deliver meaningful insights to teams across underwriting, claims, actuarial, and finance. Your deep understanding of insurance data—particularly bordereaux, policy, and claims data in the Lloyd’s and London Market—is essential. What You’ll Do Build and maintain advanced Power BI dashboards and visual … reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance … processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance and documentation What We’re Looking For Technical Skills Expertise in Power BI (DAX, Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases More ❯

Data Solutions Architect – GCP 📍 London, UK | Hybrid | Permanent £90K - £120K Salary + Benefits and Bonus We’re partnering with a global leader in data, AI, and digital transformation , trusted by Fortune 500 clients across banking, insurance, healthcare, retail, and more. Wit thousands of employees worldwide, this consultancy helps enterprises modernise data platforms, unlock growth, and accelerate cloud … journeys. Right now, they’re looking for an experienced Data Solutions Architect (GCP) to join their Data Management practice. 💡 The Opportunity This is a strategic, client-facing role at the intersection of technology, consulting, and business transformation. You’ll lead the design and delivery of enterprise-scale data platforms (lakes, lakehouses, warehouses) on GCP and influence senior … stakeholders on cloud strategy, data modernisation, and advanced analytics. Expect to spend ~40–50% of your time in pre-sales engagements (RFPs/RFIs, workshops, solution blueprints), while also shaping solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery 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 systems (Git 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 systems (Git More ❯

establish Analytics engineers best practices Helping the client migrate from tableau to omni Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to address them. Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects. Stay up to date … Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems. Strong communication and collaboration skills, with … the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with More ❯

establish Analytics engineers best practices Helping the client migrate from tableau to omni Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to address them. Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects. Stay up to date … Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems. Strong communication and collaboration skills, with … the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in English Application process an introductory call More ❯

Microsoft Fabric Consultant | Data Engineering & DataOps 📍 Hybrid (2 days onsite in London) 💼 Permanent | Full-time 💰 £70,000 – £75,000 + 10% Bonus & 25 days holiday, pension & other benefits Are you a Fabric Consultant or Data Engineer looking to work with cutting-edge tech and make a real impact? We’re hiring for a hands-on role where you … ll design and build scalable data pipelines using Microsoft Fabric and Databricks , drive DataOps best practices, and manage agile delivery through Jira . You’ll be part of a high-performing consultancy team delivering modern data platforms for enterprise clients. What You’ll Be Doing as a Fabric Consultant: Building end-to-end data pipelines with Microsoft … Fabric & Databricks Driving DataOps workflows, CI/CD automation, and agile delivery via Jira Leading client workshops and collaborating with cross-functional teams Supporting data governance, compliance, and privacy initiatives Mentoring junior engineers and contributing to internal best practices What You’ll Bring: Strong experience in data engineering with Microsoft Fabric Solid understanding of DataOps, CI/CD More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing … and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders … to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in data More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing … and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders … to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in data More ❯

A leading crypto market-making and trading firm is seeking a Senior Data Engineer/Data Architect with strong financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll … work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and infrastructure. Key Responsibilities Design and evolve core data models covering trade, market, pricing, risk and finance data across streaming, lake/lakehouse and warehouse environments. Build and maintain streaming and batch pipelines to capture … reconcile and deliver trusted market and trading datasets. Implement data quality, governance, lineage and access controls with defined SLAs and data contracts. Manage cloud-based data storage and processing (AWS preferred), optimizing for cost, performance and scalability. Collaborate with stakeholders across multiple business areas to deliver cohesive, production-grade data products. Requirements 8+ years’ experience in More ❯

A leading crypto market-making and trading firm is seeking a Senior Data Engineer/Data Architect with strong financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll … work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and infrastructure. Key Responsibilities Design and evolve core data models covering trade, market, pricing, risk and finance data across streaming, lake/lakehouse and warehouse environments. Build and maintain streaming and batch pipelines to capture … reconcile and deliver trusted market and trading datasets. Implement data quality, governance, lineage and access controls with defined SLAs and data contracts. Manage cloud-based data storage and processing (AWS preferred), optimizing for cost, performance and scalability. Collaborate with stakeholders across multiple business areas to deliver cohesive, production-grade data products. Requirements 8+ years’ experience in More ❯

Data Solutions Architect - GCP - Permanent - £125k - London Hybrid A global consultancy is hiring a Data Solutions Architect to lead GCP-based data platform modernisation for banking clients. This SAVP-level role blends strategic advisory, architecture, and pre-sales. Location : London (Hybrid) Start : Immediate/ASAP Key Focus : Architect large-scale GCP data platforms (BigQuery, Dataflow, Dataproc … stakeholders and drive innovation. You'll Need : 10+ years in BI/DW/Analytics, including 4+ years in architecture. Hands-on GCP experience and banking domain expertise. Strong data modelling, governance, and stakeholder engagement. More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY More ❯