101 to 125 of 192 Data Quality Jobs in the City of London

Data Engineer (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Engineer to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence … making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Engineer include: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet requirements and industry practices for data quality and integrity. Integrate … data management technologies and software tools into existing structures. Create data tools to support sport data modelling, prediction and analytics. Work with data and analytics experts to strive for greater functionality in our data systems. As the selected Data Engineer, your background will include: 3+ years industry experience in a Data Engineer role More ❯

Data Engineer (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Engineer to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence … making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Engineer include: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet requirements and industry practices for data quality and integrity. Integrate … data management technologies and software tools into existing structures. Create data tools to support sport data modelling, prediction and analytics. Work with data and analytics experts to strive for greater functionality in our data systems. As the selected Data Engineer, your background will include: 3+ years industry experience in a Data Engineer role More ❯

Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to … deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. Data Engineering • Develop … maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to support ML workflows. • Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation. • Align data infrastructure with business needs and product strategy for PAI More ❯

Contract: 6 Month Rolling A global IT consulting firm is seeking an experienced Informatica IDQ Administrator to support a leading financial services client as part of a business-critical data management programme. This is an excellent opportunity to work in a cutting-edge environment delivering enterprise-level data governance and quality solutions. Key Responsibilities: Installation, configuration, upgrade … and administration of Informatica IDQ, EDC, and Axon. Troubleshooting and technical support for IDQ, EDC, and Axon platforms. Manage data profiling, scorecard creation, reference tables, and data quality metrics. Implement Data Catalog, Data Lineage, Metadata Management, and Data Governance standards. Integration with enterprise systems including SSO, ServiceNow, and other third-party platforms. Performance tuning … capacity planning, and environment optimization. Collaborate with infrastructure teams for system maintenance, backups, disaster recovery, and security. Support data quality operations, monitor data integration environments, and manage Informatica domains. Work closely with business stakeholders to support data governance initiatives. Required Experience: Extensive hands-on experience with Informatica IDQ 10.X, EDC 10.5.X, and Axon 7.3.X. Strong knowledge More ❯

Role: Cloud Data Architect Location: London, UK Duration: Contract Job Description: Key Responsibilities Provide technical leadership and strategic direction for enterprise-scale data migration and modernization initiatives. Architect end-to-end data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases … involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security standards across enterprise data pipelines. Mentor engineering teams and lead best practice adoption across data architecture, orchestration, and DevOps tooling. Participate in … technical workshops, executive briefings, and architecture reviews to evangelize GCP data capabilities. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field. 12+ years of experience in data architecture and data engineering with proven skills and leadership in large-scale cloud data programs. 5+ years of advanced expertise More ❯

Sr Cloud Data Architect | UK Location: United Kingdom (Work from Office – Onsite Presence is required) Language Requirement: Fluent in English (Spoken & Written) Key Responsibilities Provide technical leadership and strategic direction for enterprise-scale data migration and modernization initiatives. Architect end-to-end data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and … cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security standards across enterprise data pipelines. Mentor engineering teams and lead best practice adoption across data architecture, orchestration, and DevOps tooling. Participate … in technical workshops, executive briefings, and architecture reviews to evangelize GCP data capabilities. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field. 12+ years of experience in data architecture and data engineering with proven skills and leadership in large-scale cloud data programs. 5+ years of advanced More ❯

Data & Analytics Solution Consultant Insurance London - 3 days in the office Finitas is working with a leading insurer on their search for a Data & Analytics Solutions Consultant. You will be responsible for establishing a high-performing data and analytics technology framework, aligning with strategic goals, and enabling data-driven decision-making across the organization. This role … works closely with stakeholders, developers, and third-party partners to promote best practices in data architecture and business intelligence solutions. Key Responsibilities Develop sustainable, flexible, and reusable data solutions aligned with industry best practices. Act as a strategic advisor and solution partner for data initiatives. Promote trust and confidence in data through high-quality solutions. … Guide and enforce development standards (e.g., conformed code). Evaluate and implement leading data technologies and practices. Define BI technology roadmap with architecture teams and stakeholders. Manage third-party data relationships and challenge when necessary. Ensure compliance with relevant legal and regulatory requirements. Design and implement robust databases, data models, schemas, and security structures. Deliver integrated data More ❯

Data Engineer Location: London (4 days/week on-site) Type: Contract (Outside IR35) Duration: 6 months A leading physical commodities trading firm is seeking a Data Engineer for a 6-month contract (Outside IR35). You’ll work on-site in London 4 days per week, building and optimizing data pipelines in a fast-paced, data-driven trading environment. Responsibilities: Build and maintain scalable data pipelines (ETL/ELT) Support data users with ingestion, debugging, and navigation Integrate data from diverse sources (structured & unstructured) Monitor and ensure data quality Maintain and improve existing production processes Develop dashboards and visualizations Work closely with data scientists and stakeholders Follow CI/… CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes and open-source data More ❯

Key Responsibilities Design and implement real-time data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming. Develop and maintain event schemas using Avro, Protobuf, or JSON Schema. Collaborate with backend teams to integrate event-driven microservices. Ensure data quality, lineage, and observability across streaming systems. Optimize performance and scalability of streaming applications. Implement CI …/CD pipelines for data infrastructure. Monitor and troubleshoot production data flows and streaming jobs. Required Skills & Qualifications 3+ years of experience in data engineering or backend development. Strong programming skills in Python, Java, or Scala. Hands-on experience with Kafka, Kinesis, or similar messaging systems. Familiarity with stream processing frameworks like Flink, Kafka Streams, or Spark … Structured Streaming. Solid understanding of event-driven design patterns (e.g., event sourcing, CQRS). Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools. Knowledge of data modeling, schema evolution, and serialization formats More ❯

Data Engineer (Tech for Good) Hybrid – London Office & Home-Based Up to £68,000 per annum Are you a skilled data engineer looking to make a real-world impact? Join a fast-growing tech-for-good company using data to drive positive change for people and the planet. We’re looking for a mid-level Data Engineer with 3–4 years of experience to help shape and scale our data platform, supporting socially responsible projects across the organisation. Your Role: Develop and maintain cloud-based data pipelines (real-time & batch) Design data models and ETL/ELT processes using AWS, Snowflake, etc. Collaborate across technical and non-technical teams Troubleshoot issues and … platform What You’ll Bring: Proficiency in Python, PySpark, Spark SQL or Java Experience with cloud tools (Lambda, S3, EKS, IAM) Knowledge of Docker, Terraform, GitHub Actions Understanding of data quality frameworks Strong communicator and team player What We Offer: Career growth through training, mentoring, and development A collaborative and inclusive team culture Purpose-driven work with meaningful More ❯

GCP Data Engineer Hybrid/London £100,000 – £120,000 Our client, a global powerhouse in enterprise IT services, is looking for a talented GCP Data Engineer to join their cutting-edge Data & AI practice. You’ll play a pivotal role in architecting and delivering data-driven solutions on Google Cloud Platform, working on high-impact … projects across multiple industries. They’re keen to grow the team with experienced Engineers who have strong relationships currently within Google teams to grow this partnership. As a GCP Data Engineer, you will: • Design and implement modern data platforms on GCP • Lead data initiatives from ingestion to transformation and visualization • Collaborate with cloud architects, analysts, and engineers … to deliver integrated solutions • Apply expertise in BigQuery, Dataflow, Composer, and other GCP-native services • Use Python, PySpark, and SQL to build scalable data pipelines • Drive data quality, governance, and performance tuning efforts across projects Ideal candidates will have: • Proven experience delivering data engineering solutions at scale on Google Cloud • Proven experience with Agentic AI • Hands More ❯

We’re Hiring: Data Engineer | Up to £70,000 | London (Hybrid) An innovative and growing company is looking for a Data Engineer to join a small, ambitious data team based in London (3 days per week in-office). This is a hands-on role where you'll work across the full data lifecycle and help … shape the future of internal data systems and workflows. If you're passionate about clean, scalable data architecture and excited by the opportunity to work closely with stakeholders in a collaborative environment, this could be a great fit. What You’ll Do: Design, develop, and maintain robust ETL/ELT pipelines using Python. Translate business requirements into well … architected data solutions. Ensure data quality, reliability, and performance across systems. Collaborate across departments to support analytics and reporting needs. Write clean, maintainable, and testable code. What We’re Looking For: Strong Python programming skills and experience with data workflows. Solid understanding of database fundamentals and cloud platforms (AWS preferred). A degree in Computer Science More ❯

Data Engineering Manager We’re supporting a high-growth digital business as they build out their internal engineering function and undergo a significant data transformation. As part of this next phase, they’re hiring a Data Engineering Manager to lead a growing team of engineers focused on building scalable, real-time data infrastructure from the ground … a strategic, hands-on leadership role where you’ll drive the technical vision, define best practices, and lead a team responsible for architecting, building, and maintaining a real-time data platform. You’ll collaborate cross-functionally with product, analytics, and engineering teams to deliver robust, high-performance pipelines and infrastructure that power data-driven decision-making across the … business. 🧠 Key Responsibilities Lead, mentor and grow a team of data engineers Set the technical direction and oversee the delivery of real-time data solutions Design scalable and fault-tolerant data infrastructure in the cloud Drive adoption of best practices around data quality, governance, and pipeline monitoring Collaborate with stakeholders to align data engineering More ❯

Social network you want to login/join with: Senior Market Data Engineer, london (city of london) col-narrow-left Client: Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 18.06.2025 Expiry Date: 02.08.2025 col-wide Job Description: Senior Market Data Engineer - Algorithmic Trading - Fully … Remote A proprietary algorithmic trading firm who manage the entire trading cycle from software development to strategy creation and algorithm coding are on the lookout for a Senior Market Data Engineer to join their team. What will the role be doing? Design, develop, and maintain high-performance data storage systems for capturing and managing large volumes of historical … market data from multiple exchanges, brokers, and vendors with robust validation, cleansing, and normalisation processes Build internal tools and integrations that provide research teams with easy access to historical data while collaborating with quantitative researchers and traders to optimise data retrieval systems for backtesting and strategy development Develop scalable, cost-efficient solutions with sophisticated versioning and reconciliation More ❯

Lead Data Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | Up to £140,000 + Benefits | Hybrid – London A Lead Data Platform Engineer is required to join a fast-growing Commodities Trading firm at the forefront of the global Oil & Gas markets. As part of their continued investment in data and analytics, they're scaling their Enterprise … Data Platform to drive smarter, faster trading decisions—and they need an experienced leader to guide this transformation. In this high-impact role, you'll lead a team of 5 data engineers within the central data architecture function, setting the technical direction and ensuring best practices across the business. You'll be hands-on with modern data … high-performance solutions. 🔧 Key Tech Stack: Python, Snowflake, Dagster, Kafka Terraform, CI/CD, AWS (and some on-prem) 💼 Key Responsibilities: Lead, mentor, and manage a team of 5 Data Engineers, fostering a high-performing and collaborative culture. Design and build enterprise-grade data platforms and ETL pipelines using Python and Dagster. Own the adoption and integration of More ❯

Recruiting Change & IT professionals into the Insurance Markets Location: London, UK (Hybrid Working Available) Position Type: Full-Time Are you passionate about data architecture and ready to shape the future of a leading commercial insurer? This is an exceptional opportunity to join a forward-thinking organisation as their first-ever Data Architect , playing a pivotal role in establishing … a robust data infrastructure and strategy to support their business goals. We're working with a prominent commercial insurance provider based in London. As the insurance industry evolves, they recognise the critical role of data in driving insights, improving efficiency, and enhancing decision-making. That’s why they’re looking for a Data Architect with a strong … background in insurance to help them harness the power of data. The Role: As the first Data Architect within the organisation, you will have the unique opportunity to build and shape their data architecture from the ground up. You will work closely with senior stakeholders, IT teams, and business units to define and implement a data strategy More ❯

growth and be responsible for the delivery of consulting services to our customers. You should have experience working with customers in the Fortune 500 and have experience leading Enterprise Data warehouse, data platform modernization, migration to cloud data platform, Visualization, Enterprise data governance, MDM and Advance analytics – AI/ML services Technology Experience: Minimum … years’ experience in leading Data & Analytics practice Extensive experience in Presales, Solutioning, Delivery, People Management, Global experience and should be in a P&L role Should have past experience in designing solutions for multiple large data warehouses, distributed RDBMS, Unstructured data storage platforms, Cloud data platforms (AWS, Azure and GCP), enterprise data governance, data security, data quality, and data lineage tools Strong understanding and POV on Advance analytics, Decision intelligence, DataOps, MLOps and multi-cloud data platform implementation Responsibilities Extensive experience in Presales, Solutioning, Delivery, People Management, Global experience and should be in a P&L role Responsible to formulate business development strategies for Data & Analytics practice Actively More ❯

Metris Energy At Metris, we're on a mission to accelerate the energy transition by helping solar owners manage their asset(s) autonomously. Today, our platform delivers real-time data on 100s of solar projects across the UK and automates time-consuming tasks involved in solar management such as monitoring, fault detection, reporting and billing. Next, Metris is building … proprietary AI to deliver autonomous operation of small-scale renewables. The Role We’re looking for a Senior Software Engineer with strong experience in data-intensive systems to join our team. You’ll bring a solid grounding in data processing and architecture, and will play a key role in maintaining data integrity across the Metris platform . … This role will define and own our data architecture, connecting to hundreds of renewable energy assets — storing, transforming and aggregating millions of rows of data — we also expect that over time you will also contribute to other parts of the Metris product as the business continues to grow and evolve into new products and markets. This role is More ❯

Job Title: Gen AI Consultant Location: Fully Remote Job Type: Contract/Contract-to-hire Responsibilities: Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research … latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare More ❯

AWS) A track record of delivering robust, scalable systems Collaborative mindset and great communication skills Bonus points for: Experience in financial services, enterprise, or regulated industries Interest in performance, data quality, and system reliability This role would suit someone who enjoys autonomy, thrives in a small but growing team, and is looking for a genuine opportunity to make More ❯

scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models. Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model More ❯

Our client is a leading global investment management firm, seeking a Data Engineer to join an experienced team responsible for managing all data feeding into trading strategies across various asset classes and leveraging data pipelines heavily in your day-to-day to carry out the following: Job Responsibilities: Understanding new and existing data products delivered by … data vendors and liaising with them as a technical stakeholder. Using Python coding to translate these products into datasets optimised for trading system consumption. Create and maintain automated data quality tests to ensure all datasets meet the standards determined by quant strategies. Support the day-to-day operations of data pipelines by responding to issues and More ❯

Head of Data - FTC Orbition Group are delighted to be working with one of the largest and most influential automotive companies in the world, who own a diverse portfolio of brands. Working with the financial and mobility services of this organisation, the below opportunity offers you to work at the intersection of finance, data and mobility. The Head … of Data (their first data hire) will have the responsibility of defining and driving the enterprise data strategy, which includes business-focused Master Data Management, Data Governance and TOM development, when it comes to supporting key business objectives and fostering a strong data-driven culture across the organisation. What will your day to day … look like? Define and execute the enterprise data strategy; establishing the business value link to data and helping business units with expertise and methods to identify, document and measure value from data. Design and embed a Target Operating Model (TOM) for the data function; to create and optimise organisational structures, processes, and tools for effective data More ❯

Social network you want to login/join with: Systems & Data Support Analyst - Perm, London (City of London) Client: JSS Transform Location: London (City of London), United Kingdom Job Category: Other EU work permit required: Yes Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Systems & Data Support Analyst My London-based insurance client is looking for … a Systems & Data Support Analyst responsible for data manipulation and analysis to support the Operations team and the wider business, as well as maintaining internal systems and ensuring accurate and continuous information for reporting. Role Responsibilities: Provide systems support and analysis to ensure data quality and workflows are maintained accurately, supporting CRM Dynamics and SQL Databases. … Assist with development, testing, and maintenance of internal systems with internal and third-party providers. Maintain client investment data and personal data to ensure data integrity across operational systems. Develop and operate Excel workbooks to analyze data, provide insights, and support the Operations team and the business. Prepare and validate information for dispatch to clients. Skills More ❯

Meraki Talent are working with a leading global Investment Management business to identify a Data Risk Analyst/Senior Analyst. Reporting into the Global Head your role will have broad exposure across the business and the team operate a flat structure. As a Data Risk Analyst/Senior Analyst, you will support the data risk and governance … team in managing all aspects of data risks and governance. Your primary focus will be on establishing and strengthening the data risk framework to enable Asset Management to mature, demonstrate data capabilities, and mitigate data risks effectively. Key Responsibilities: Implement a comprehensive data management framework covering data ownership, data sources, data quality, data usage, and records management. Actively identify data risks where data does not conform to our data policy, while enhancing data governance practices. Engage in all business-as-usual activities, ensuring a hands-on approach to managing data risks and governance. Work closely with Audit, Risk, Business teams, IT, and change programs to More ❯