401 to 425 of 516 Data Quality Jobs in the South East

An exciting brand and social impact agency in London is looking for a Data Analyst to join their growing team. Based in London Hybrid working, 2 days a week in the office Start date: 17th of November £45,000 - £48,000 per annum The Job As Data Analyst, you will turn marketing and CRM data into actionable … insight that drives smarter campaign planning and performance optimisation. You will take ownership of KPI frameworks, forecasts and dashboards, ensuring data underpins every marketing decision. You will: Build and maintain dashboards in Power BI or Looker Studio to track multi-channel campaign performance Translate business and marketing objectives into measurable data frameworks and KPIs Deliver regular reports and … insight to guide campaign optimisation and strategy Forecast and model marketing outcomes using Python, R and SQL Oversee data quality, segmentation and reporting consistency across CRM and digital channels Partner with marketing and comms teams to embed data-driven thinking and share insight stories that influence decision-making Mentor junior analysts and support continuous improvement in data More ❯

Data Engineer (Active SC) £420/day Inside IR-35 1-2 days per month on site in South London, otherwise remote Contract until the FY We're looking for a skilled Data Engineer to join our team on a predominantly remote basis, with occasional travel to London. This role is ideal for someone with strong experience in … data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight AWS S3 Java SQL Relational databases GitHub/lab experience Nice to have: Data quality expertise XML knowledge AWS Data Speciality certification Reasonable Adjustments: Respect and equality are core values to us. We are proud of More ❯

solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where … data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data More ❯

per annum (DOE) Hybrid: 3 days per week in the office (Non-negotiable) Location: Crawley About the Role and Client Join a global leader in technology manufacturing as a Data Reporting Analyst. You will be working alongside the IT Applications team and liaise with all other departments within the business e.g. Finance, Operations, Sales, supporting them with regular reporting … needs. Key Responsibilities Collaborate with internal stakeholders, within a defined framework, to identify and deliver reports based on those needs Manage and process substantial volumes of data large quantities of data from multiple sources and present these in the stakeholders’ preferred format Liaise with business data owners and stewards within the business to ensure continuous improvement of … data quality through the creation and management of dashboards Support team members in developing and testing analytics applications and reports for presentation on the company intranet Perform data extraction, transformation, loading, and manipulation as required Collaborate closely with the Applications team to support delivery of information via various means Provide 1st line support to the business as More ❯

Hybrid: 3 days per week in the office Office Location: Crawley About the Role and Client Join the Applications team of a global leader in technology manufacturing as a Data Reporting Analyst. You will be working alongside the IT Applications team and liaise with all other departments within the business eg Finance, Operations, Sales, supporting them with regular reporting … needs. Key Responsibilities Collaborate with internal stakeholders, within a defined framework, to identify and deliver reports based on those needs Manage and process substantial volumes of data large quantities of data from multiple sources and present these in the stakeholders' preferred format Liaise with business data owners and stewards within the business to ensure continuous improvement of … data quality through the creation and management of dashboards Support team members in developing and testing analytics applications and reports for presentation on the company Intranet Perform data extraction, transformation, loading, and manipulation as required Collaborate closely with the Applications team to support delivery of information via various means Provide 1st line support to the business as More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. YOUR PROFILE Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

About the Role FULLY REMOTE - 6 Month FTCMy client is looking for a Data Transformation Analyst who thrives on turning large, complex datasets into clear, actionable insights. This role is focused on building robust data models and delivering high-quality reporting solutions using Power BI and Excel . If you’re passionate about data modelling and … creating scalable solutions that drive business decisions, this is the role for you. What You’ll Do Design and maintain data models for large datasets in Power BI . Build interactive dashboards and reports that are accurate, performant, and user-friendly. Use Excel for advanced analysis, reporting, and visualization. Collaborate with stakeholders to understand requirements and deliver practical solutions. … Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard creation and data visualization. VBA knowledge is a More ❯

Senior Data and Analytics Engineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at the core of … or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial … markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg, Refinitiv, etc.) would be useful Any familiarity with tools such as Airflow, prefect, or other orchestration frameworks would be advantageous. Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data More ❯

Senior Data and Analytics Engineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at the core of … or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial … markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg, Refinitiv, etc.) would be useful Any familiarity with tools such as Airflow, prefect, or other orchestration frameworks would be advantageous. Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data More ❯

Senior Data and Analytics Engineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at the core of … or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial … markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg, Refinitiv, etc.) would be useful Any familiarity with tools such as Airflow, prefect, or other orchestration frameworks would be advantageous. Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data More ❯

Business Analyst - Ad Tech London £65,000 + benefits 2 days per week in office Drive data-led decision making in one of the most innovative ad tech environments in London. If you're a commercially minded Business Analyst who thrives at the intersection of data, digital products and technology, this is your chance to make a real … impact in a fast-paced, data-driven organisation at the forefront of AI, analytics, and personalisation. THE COMPANY This global business is redefining how brands connect with audiences through smarter data. With a culture that values innovation, collaboration and agility, they're scaling quickly they need someone who can turn complex data into actionable insights that drive product … THE ROLE As a Business Analyst, you'll be the crucial bridge between business and technology teams, translating ideas into solutions and helping to shape the next generation of data-driven products. You'll work closely with engineers, data scientists, and product managers to scope and deliver projects across analytics, recommendation engines, and personalisation tools, ensuring every decision More ❯

with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with cross-functional teams to develop and deploy data-driven insights. As an Infrastructure Automation Engineer you will be: Required to work independently and be self-motivated, leading a team of other Automation Infrastructure Engineers and Analysts Experienced … in the following: Infrastructure Development and Automation: Building use cases and creating infrastructure applications using programming languages such as C#, C++, and Python to process data locally Containerization and Orchestration: Using tools like Docker and Kubernetes to package and manage applications for scalable and efficient deployment. Packaged Application and industry standard APIs such as Revitt, MEF and TMFORUM. Building … Scalability and Resource Management: Managing resources efficiently via deployment of scalable infrastructure. Includes knowledge of containerization, virtualization, and orchestration tools to dynamically allocate resources based on demand. Develop innovative data solutions to optimize data generation, collection, and processing. Collaborate with cross-functional teams to ensure data quality and integrity. We are looking for experience in the More ❯

with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with cross-functional teams to develop and deploy data-driven insights. As an Infrastructure Automation Engineer you will be: Required to work independently and be self-motivated, leading a team of other Automation Infrastructure Engineers and Analysts Experienced … in the following: Infrastructure Development and Automation: Building use cases and creating infrastructure applications using programming languages such as C#, C++, and Python to process data locally Containerization and Orchestration: Using tools like Docker and Kubernetes to package and manage applications for scalable and efficient deployment. Packaged Application and industry standard APIs such as Revitt, MEF and TMFORUM. Building … Scalability and Resource Management: Managing resources efficiently via deployment of scalable infrastructure. Includes knowledge of containerization, virtualization, and orchestration tools to dynamically allocate resources based on demand. Develop innovative data solutions to optimize data generation, collection, and processing. Collaborate with cross-functional teams to ensure data quality and integrity. We are looking for experience in the More ❯

with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with cross-functional teams to develop and deploy data-driven insights. As an Infrastructure Automation Engineer you will be: Required to work independently and be self-motivated, leading a team of other Automation Infrastructure Engineers and Analysts Experienced … in the following: Infrastructure Development and Automation: Building use cases and creating infrastructure applications using programming languages such as C#, C++, and Python to process data locally Containerization and Orchestration: Using tools like Docker and Kubernetes to package and manage applications for scalable and efficient deployment. Packaged Application and industry standard APIs such as Revitt, MEF and TMFORUM. Building … Scalability and Resource Management: Managing resources efficiently via deployment of scalable infrastructure. Includes knowledge of containerization, virtualization, and orchestration tools to dynamically allocate resources based on demand. Develop innovative data solutions to optimize data generation, collection, and processing. Collaborate with cross-functional teams to ensure data quality and integrity. We are looking for experience in the More ❯

Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR More ❯

Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR More ❯

Junior Analyst Salary: £27,000 - £30,000 I am working with a fast-growing, tech-enabled organisation that is transforming how data is used to drive financial and operational decision-making. With a strong focus on accuracy, insight, and continuous improvement, they are empowering teams across the business to make smarter and faster decisions. As part of their continued … looking to bring on a Junior Analyst to join their analytics team. This is a high-impact, detail-oriented role where you will play a key part in ensuring data quality, spotting anomalies and supporting performance monitoring across the business. You will be part of a collaborative, forward-thinking team that values curiosity, precision and development. In this … role, you will be responsible for: Reviewing daily and weekly reports to identify data errors Analysing historical data to flag unexpected trends and patterns Preparing reports that highlight performance deviations across time periods Creating simple dashboards and visualisations to communicate anomalies Learning SQL and data visualisation tools under mentorship of other team members To be successful in More ❯

We are seeking a motivated and detail-oriented Junior Business Data Analyst to join our dynamic team. The successful candidate will play a crucial role in supporting data-driven decision-making by analysing and interpreting complex datasets. This position is ideal for individuals looking to develop their skills in data analysis and contribute to various projects within … the organisation. Duties Key Responsibilities Gather, clean, and validate data from multiple internal and external sources Ensure data quality, accuracy, and consistency across systems Build, manage and maintain group-wide Power BI reports Analyse complex datasets to identify trends, patterns, and support decision making Translate technical findings into clear, actionable insights for stakeholders Work with multiple teams … to identify inefficiencies in business processes and recommend data-driven solutions Develop and maintain technical automations to increase practice efficiency Liaise with third-party providers to understand new releases, provide updates and access required data Document functional specifications and ensure alignment with business objectives Communicate new internal and external technology releases and manage stakeholders’ expectations Provide training on More ❯

Key Responsibilities: Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading environment . Implement data quality checks , monitoring, and alerting systems. Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such … as Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills More ❯

Key Responsibilities: Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading environment . Implement data quality checks , monitoring, and alerting systems. Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such … as Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills More ❯

Key Responsibilities: Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading environment . Implement data quality checks , monitoring, and alerting systems. Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such … as Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills More ❯

initiative focuses on promoting digital inclusion for residents, partners, and businesses, supported by robust, secure, and interconnected platforms. These platforms will provide essential tools to drive process efficiency and data reuse, offering deeper insights into service performance and enabling a clear understanding of the current state to inform future strategies. The Enterprise Architect will play a pivotal role in … Conduct technology risk assessments and impact analysis to evaluate risks, analyse potential impacts of architectural decisions, and develop mitigation strategies, particularly for large-scale transformations. Lead architecture reviews and quality assurance by setting up and chairing regular review boards to assess solution designs, enforce standards, and ensure quality across projects and programmes. Collaborate with data management teams … to define data architecture, stewardship, and governance policies, ensuring data quality and compliance across systems. Support solution architecture and delivery teams through hands-on guidance and mentorship, bridging enterprise-level strategy and technical implementation. Monitor and report on architecture performance metrics by defining, tracking, and reporting on KPIs that measure the effectiveness, agility, and value of the More ❯