138 jobs found

As a Senior Lead Full Stack Software Engineer at JPMorgan Chase within Cybersecurity and Technology Controls, you serve as a seasoned member of an engineering team that works to lead the delivery of software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. The solutions you build directly enable Cyber Operations users and stakeholders through delivery and refinement of critical technology solutions with tamper proof, audit defensible methods across multiple technical areas within various business functions in support of the firm's business objectives. You will lead the design and implementation of scalable and maintainable front end solutions. You will collaborate closely with product managers, UX/UI designers, and backend engineers to deliver high quality user experiences. Your role will involve mentoring junior developers and promoting best practices in coding and testing. You will help drive technical decisions and ensure the feasibility of UI/UX designs. Together, we will create innovative products that delight our users. Job responsibilities Lead the design and launch of scalable web applications with a focus on quality and user experience. Architect scalable and maintainable front end solutions. Conduct load and performance testing to ensure optimal responsiveness and stability. Ensure the technical feasibility of UI/UX designs. Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Collaborate with cross functional teams to understand requirements, develop solutions, and deliver high quality software solutions. Troubleshoot and debug issues, perform root cause analysis, and implement effective solutions. Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and implementing rigorous unit/integration testing. Conduct code reviews, provide constructive feedback, and lead team members. Stay up to date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud based environment. 7+ years of work related experience in a professional software engineering role and leading a team/s. Experience with front end technologies, such as HTML5, CSS3, and JavaScript. Hands on experience with React.js and its core principles. Strong understanding of API protocols and asynchronous request handling, including REST and GraphQL. Experience with relational (SQL) and NoSQL databases, including data modelling and optimization. Experience in Java and Spring Boot for backend development and system architecture. Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, Git/GitHub, and Test Driven Development. Strong proficiency in Python, with a deep understanding of object oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Strong problem solving, communication, and leadership skills. Demonstrated ability to leverage AI powered coding assistants to accelerate development, improve code quality, and integrate best practices across the software lifecycle, while exercising sound judgment on when to rely on automation versus writing code by hand. Preferred qualifications, capabilities, and skills Experience with big data technologies, such as Splunk, Trino, and Apache Iceberg. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer).

Senior Lead Full Stack Software Engineer - Cybersecurity and Technology Controls As a Senior Lead Full Stack Software Engineer at JPMorgan Chase within Cybersecurity and Technology Controls, you serve as a seasoned member of an engineering team that leads the delivery of software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Your solutions directly enable Cyber Operations users and stakeholders through delivery and refinement of critical technology solutions with tamper proof, audit defensible methods across multiple technical areas within various business functions in support of the firm's business objectives. You will lead the design and implementation of scalable and maintainable front end solutions. You will collaborate closely with product managers, UX/UI designers, and backend engineers to deliver high quality user experiences. Your role involves mentoring junior developers and promoting best practices in coding and testing, driving technical decisions and ensuring feasibility of UI/UX designs. Together, we will create innovative products that delight our users. Job responsibilities Lead the design and launch of scalable web applications with a focus on quality and user experience. Architect scalable and maintainable front end solutions. Conduct load and performance testing to ensure optimal responsiveness and stability. Ensure the technical feasibility of UI/UX designs. Build and maintain ETL/ELT pipelines and data models within data warehouses, such as ingesting data from multiple Cyber Intelligence vendors. Collaborate with cross functional teams to understand requirements, develop solutions, and deliver high quality software solutions. Troubleshoot and debug issues, perform root cause analysis, and implement effective solutions. Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and rigorous unit/integration testing. Conduct code reviews, provide constructive feedback, and lead team members. Stay up to date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud based environment. 7+ years of work related experience in a professional software engineering role and leading a team/s. Experience with front end technologies, such as HTML5, CSS3, and JavaScript. Hands on experience with React.js and its core principles. Strong understanding of API protocols and asynchronous request handling, including REST and GraphQL. Experience with relational (SQL) and NoSQL databases, including data modelling and optimization. Experience in Java and Spring Boot for backend development and system architecture. Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, Git/GitHub, and Test Driven Development. Strong proficiency in Python, with a deep understanding of object oriented programming principles. Strong proficiency in SQL, including building data pipelines, data models, and data transformation within data warehouses; knowledge of tools such as DBT is desired. Strong problem solving, communication, and leadership skills. Demonstrated ability to leverage AI powered coding assistants to accelerate development, improve code quality, and integrate best practices across the software lifecycle, exercising sound judgment on when to rely on automation versus writing code by hand. Preferred qualifications, capabilities, and skills Experience with big data technologies, such as Splunk, Trino, and Apache Iceberg. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.

Data and BI Engineer Department: Delivery Employment Type: Full Time Location: London Reporting To: Jason Gopaul Description Sabio is a global company and the leading independent UK Contact Centre solution supplier. We work with leading brands and partners across the globe, helping them to build high quality, secure, robust platforms and solutions. Sabio provides expertise and solutions that our customers need to respond to the ever-changing world. Our focus is on creating state of the art real time communications platforms and contact centre system integration. At our core, we are problem solvers with a strong engineering mindset and a 'can do' attitude. We are currently looking for a passionate and enthusiastic Data & BI Engineer (Mid Level) reporting into our Global Data Integration and Systems Manager. This role combines data engineering and business intelligence development, with responsibility for building scalable data pipelines, integrating enterprise systems such as ServiceNow and Salesforce, and delivering high quality reporting and insights through Power BI. The successful candidate will play a key role in shaping Sabio's data landscape, ensuring data is reliable, accessible and optimised for business decision making. Key Responsibilities Data Engineering Design, build, and maintain scalable data pipelines across multiple systems Develop and manage ETL/ELT processes to ensure high quality, reliable data Integrate data from enterprise platforms including ServiceNow, Salesforce and other systems Implement and support modern data platforms, including Microsoft Fabric Apply medallion architecture principles (Bronze, Silver, Gold layers) to structure and optimise data flows Ensure data governance, security and performance standards are met Business Intelligence & Reporting Design, develop, and maintain Power BI dashboards and reports Build and maintain semantic models, measures and calculated logic (DAX) Translate business requirements into scalable data models and visualisations Optimise report performance, usability and consistency Deliver actionable insights to support business decision making Data Management & Quality Ensure accuracy, completeness and integrity of data across systems Manage data pipelines and support data quality frameworks Identify and resolve data issues, inconsistencies and gaps Continuously improve data processes and reporting workflows Stakeholder Engagement Work closely with business stakeholders to gather reporting requirements Collaborate with cross functional teams across technology and operations Present insights clearly to both technical and non technical audiences Support adoption and effective use of dashboards and reporting tools Skills Knowledge and Expertise Essential Experience in data engineering and/or BI development roles (3-6 years typical) Strong experience with Power BI (dashboard development, DAX, modelling) Strong SQL skills for querying and transforming data Experience integrating Salesforce data Experience working with ServiceNow data or APIs Experience designing and managing ETL/ELT pipelines Solid understanding of data modelling (star schema, dimensional modelling) Strong analytical and problem solving skills Excellent communication skills with stakeholders Desirable Experience with Microsoft Fabric Understanding of medallion architecture (Bronze, Silver, Gold layers) Experience with cloud platforms (Azure preferred) Experience working with APIs and automation Exposure to Certinia / financial or resource management data Background in telecoms, services or consulting environments Personal Attributes Highly detail oriented with strong focus on data accuracy Proactive, self driven and solution focused Strong collaboration and stakeholder engagement skills Comfortable working in a fast paced, evolving environment Benefits Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.)

At Great Yellow we're looking for a Software Engineer (backend) to join our team. About the job We're building a new generation of tools to make complex environmental programme data simple, clear, and actionable, to help organisations accelerate nature recovery across the UK. To do this, we're looking for a backend-focused engineer, reporting to the Head of Engineering and working closely with the Product Lead and Senior Software Engineer. This role is hands on and impact heavy: designing and shipping APIs and services, shaping our data model, and building reliable pipelines that turn messy, multi source inputs into trusted information. You'll focus on delivery and execution while keeping a pragmatic 0 1 mindset. You'll thrive here if you like owning problems end to end, from design doc and prototype to production rollout and iteration. Expect a modern, cloud first stack (AWS/Cloudflare), strong use of managed/serverless services, and a collaborative culture that values small, fast, well tested changes. What you'll do Build the first version of our digital platform. Help build and ship an MVP that users can test, learn from, and help shape Lay the technical foundations. Help design and contribute to architectural decisions that works for today's needs and can scale as we grow Establish a trusted system of record. Integrate, harmonise, and curate internal and external data to power our platform Design and ship backend services and APIs. Implement reliable RESTful services (preferably TypeScript/Node.js with Python), and build secure integrations with third party data providers Own our data architecture. Design and iterate on data models and schemas; define data models and relational schemas (PostgreSQL) and support analytics/AI via warehouses/lakes where needed Build event driven data pipelines. Create robust ETL/ELT workflows and asynchronous processing using queues/message brokers Operate in the cloud with reliability. Deploy and run services on (primarily on Cloudflare, but also light use of GCP and AWS) using managed/serverless components, with security, monitoring, and cost efficiency baked in Collaborate and raise the bar. Work tightly with Tech/Product and peers, champion code quality, testing, documentation, and continuous improvement Requirements Experience: 4+ years of backend or data focused software engineering experience delivering production systems in fast paced environments, comfortable working in ambiguity, turning ideas into working software Skillset: Proficiency in backend development (preferably TypeScript/Node.js), designing and operating RESTful services and third party integrations Data: Strong data modelling and SQL skills with PostgreSQL; experience building end to end ETL/ELT pipelines and event driven processing using queues/brokers Cloud: Hands on cloud experience Versatility: Demonstrate versatility and adaptability in a fast paced startup environment, comfortable managing shifting priorities and contributing to foundational processes that are built to scale Communication: Communicate clearly with product and engineering peers, with the ability to translate business goals and product requirements into technical solutions Passion for sustainability and conservation finance, with a commitment to tackling climate change and biodiversity loss Locality: Based within commuting distance of London, with the ability to work 1 2 days per week from our central office if needed AI Fluency: Demonstrated ability to architect and deliver AI empowered product features (agents, tool use, orchestration, evaluation loops), staying current with emerging patterns and model capabilities Beneficial Skills BSc or similar in Computer Science or equivalent practical experience Knowledge of Domain Driven Design (DDD) principles Proficiency in a secondary scripting language such as Python Familiarity with infrastructure as code, security fundamentals, monitoring/alerting, and cost aware operations Familiarity with Graph Databases and Knowledge Graphs Experience with data warehousing solutions and ELTs Why Join Great Yellow? Be part of an innovative start up that's breaking new ground in finance and ecological restoration Engage in meaningful work with the potential to make a lasting impact on the planet Work alongside a passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth Our culture is built on three principles: All for the Hive (shared leadership and collaboration), Shameless Ambition (raise the bar, speak directly), and Design the Future (think big, learn by doing, own it) We're big believers in flexibility - work where you do your best thinking - but we also value getting together in our office to share ideas (and coffee) Apply for the job Do you want to join our team as our new Software Engineer? Then we'd love to hear about you!

Location: Crewe, CW1 6ZQ Contract Type: Permanent Hours: Full time Disability Confident: No Closing Date: 21 May 2026 About this job The post holder will focus on data engineering-led transformation and development work required to support delivery of the Trust's Healthier Futures programme for the new digital hospital. This includes developing and maintaining high quality, reliable and scalable data solutions to support population health management, service transformation and improved patient outcomes. The role will ensure data from multiple clinical and operational systems is effectively integrated, modelled and made available to support insight-driven decision making. Working within the Data Warehouse team, the post holder will design, build and optimise robust data pipelines, data models and reporting foundations, initially within the Trust's current SQL-based data warehouse environment, while supporting the transition towards a more modern, scalable data platform, including use of SQL and established data warehousing tools, and evolving cloud based data engineering approaches over time. They will take lead responsibility for one or more key data domains aligned to Healthier Futures priorities, acting as a subject matter expert in data engineering, performance optimisation and data quality. The post holder will work closely with analysts, clinicians and operational leads to deliver well governed, trusted data products aligned to agreed data architecture standards, while supporting best practice and continuous improvement across the team. Responsibilities Support the maintenance of the data warehouse, monitor ETL and SQL Server Agent jobs, troubleshoot issues, and tune performance. Participate in out of hours support for monitoring critical processes, respond to alerts, and restore services. Work collaboratively across the Data Engineering team to design, build, and optimise data models and ETL/data pipelines, applying expert T SQL skills. Ensure pipelines are performant, scalable, and resilient. Optimise queries and ETL performance through indexing, partitioning, and other SQL Server tuning techniques. Use a metadata driven ETL framework to automate and standardise data flows. Validate ETL processes after system upgrades to ensure data continuity and integrity; maintain test suites and validation scripts. Design and maintain dimensional models (star/snowflake schemas) to support efficient and reusable analytics. Perform data profiling to identify quality issues, anomalies, and lineage. Liaise with service users and BI teams to understand reporting requirements and translate them into data models. Support advanced analytics by preparing high quality datasets, building pipelines for predictive modelling, and enabling Python/R based analytical workflows. Promote and support the adoption of automation (CI/CD pipelines), APIs, and modern data platform techniques. Contribute to DevOps practices: use DevOps tickets, repositories, version control, and branching strategies. Assist with DBA tasks such as backup/recovery, index and statistics maintenance, and capacity planning; ensure database health, security, and compliance. Participate in patching, upgrades, and version control of SQL Server instances. Governance Ensure all development work complies with agreed processes, including peer review, documentation, change management, and proof of concepts. Maintain detailed documentation: data lineage, source to target mappings, metadata repository, standard operating procedures, and runbooks. Uphold data governance, architecture standards, and NHS data requirements. Share knowledge and good practice to reduce single points of failure and promote consistency. Document incidents and contribute to post incident reviews and continuous improvement. Managerial / Leadership Deputise for the Data Warehouse Manager including supervising other members of the team, leading daily stand ups, allocating and monitoring tasks. Lead technical delivery for a specific source system or domain, taking ownership of its data pipeline architecture. Promote coding standards, continuous improvement, and a safe, compliant working environment. Ensure a healthy, safe and secure working environment, ensuring compliance with legal and regulatory requirements, maintaining accurate documentation, and reporting any concerns. Education / Learning Take responsibility for own learning and development by recognising and taking advantage of all opportunities to learn, including full participation in KSF/appraisal, supervision, action learning and by maintaining a professional/personal portfolio of learning. Support the training of colleagues by sharing knowledge in SQL Server and data modelling. Maintain awareness of advancing technologies, specialist work areas and wider NHS data initiatives. Communications Communicate effectively with internal and external stakeholders, including engineers, BI developers, analysts, IT teams, clinical and operational managers, and external organisations. Engage in technical discussions (ETL performance, schema design, database optimisation) and translate complex information for non technical audiences. Translate business requirements into technical data solutions and provide regular updates on pipeline status, risks, and improvements. Produce written technical reports to support informed decision making. Communicate sensitive or complex information clearly, including data load delays affecting dashboards or statutory submissions.

Data Engineer / London OR Newcastle / Hybrid / Contract We're recruiting a Data Engineer to join a growing data function, playing a key role in designing, building, and maintaining scalable data infrastructure that supports analytics, insight, and automation across the organisation. This is an opportunity to work on modern data platforms, integrating multiple data sources and enabling high-quality, accessible data for downstream users. The Role As a Data Engineer, you will: Design, build, and maintain scalable data pipelines and ETL processes Integrate structured and unstructured data from multiple internal and external sources Ensure data quality, consistency, performance, and security across platforms Collaborate with analytics engineers, data analysts, and stakeholders to support data modelling and transformation Monitor, optimise, and troubleshoot data infrastructure and pipelines Produce clear documentation of data architecture and engineering processes Key Responsibilities Build and manage robust data infrastructure for large-scale data ingestion and processing Develop automated, reliable data pipelines aligned to best practices Optimise ETL workflows for performance and scalability Implement data governance, access controls, and security standards Support self-service analytics by enabling clean, well-structured datasets Proactively identify and resolve data issues and pipeline failures Skills & Experience Strong experience designing and building ETL workflows and data pipelines Experience integrating data from APIs, databases, and cloud services Solid understanding of data modelling and data warehousing concepts Experience with relational and non-relational databases, including performance optimisation If you're interested in the role, then please apply!

Skills: Data Analytics Reporting Customer Insights SQL Python Salary type: Salary type: Annual Salary: Negotiable Location: Location: Hybrid/Hertfordshire Job ID: Job ID: 37606 Job Description As a Marketing Data Engineer, you'll be responsible for delivering reporting and insight to inform strategy and commercial decision making. Taking information from multiple sources including Advertising Platforms and Data Warehouses to provide insight that helps elevate the understanding of customers, potential customers, advertising, commercial ROI and website. Building reporting that tells a story, creating visualised reporting that drive actionable insights.' A super opportunity to join a fast growing travel business, this role is a newly created role, providing great scope to grow within the business. It requires a naturally curious, inquisitive mindset, someone who loves to delve into the data, solve problems, stitch things together and help the teams gain greater insight into the customer and commercial detail. You'll be data hungry, love learning and finding work arounds and fixing gaps - a role where you can add great value and be involved across the business: Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest data from diverse sources including booking engines, and digital marketing platforms likeGoogle AdsorMeta Ads. And develop a plan for leveraging customer data in the absence of CRM & CDP systems / a plan for the business investing in the implementation of such a system. Marketing Analytics Support: Develop data models to support advanced marketing use cases such asMarketing Mix Modelling (MMM), multi-touch attribution, and customer lifetime value (CLV) predictions. Data Quality & Governance: Ensure all data handling complies withUK GDPRand PECR, specifically managing PII (Personally Identifiable Information) and marketing consent across all villa-related datasets. Stakeholder Collaboration: Translate complex technical data structures into clear insights for non-technical marketing managers to help them understand campaign performance and villa occupancy trends. Infrastructure Management: Manage and optimise cloud-based data warehouses or lakes, typically usingMicrosoft Azure,AWS, orGoogle Cloud Platform (GCP). Technical Proficiency: Expert-levelSQLandPythonare essential for data transformation and automation. Tooling Experience: Familiarity with modern data stack tools such asdbtfor transformations,Airflowfor orchestration, andTerraformfor infrastructure-as-code.

Role Overview This role focuses on integrating complex financial systems and data sources into centralised platforms used across analytics, reporting, and operations. You'll play a key role in ensuring data flows reliably across a multi-system fintech landscape. Key Responsibilities Build and maintain integrations across internal and third-party systems Develop scalable ETL processes using Python and SQL Work with APIs, batch pipelines, and data feeds Monitor and improve data integrity Support system migrations and upgrades Required Experience Strong Python and SQL skills Experience with system and data integrations API and data pipeline experience Financial services or fintech background Cloud platform exposure Nice to Have Messaging or streaming technologies Financial reference data knowledge Data quality tooling experience Why Join Core integration ownership Exposure to complex financial ecosystems High-impact, business-critical role

Data Engineer London / remote £429 per day inside IR35 6 months duration Active SC clearance We are seeking a Senior Data Engineer to join a high-performing team delivering large-scale cloud and data transformation programmes. This is an exciting opportunity to work on complex data platforms, leveraging modern cloud technologies and best-in-class engineering practices to build scalable, secure, and high-quality data solutions. You'll play a key role in designing and developing data pipelines, integrating data from multiple sources, and helping organisations unlock the value of their data through robust engineering and architecture. What You'll Be Doing Designing, developing, and optimising enterprise-scale data pipelines. Building cloud-native data solutions using AWS and Azure. Developing and supporting ETL/ELT processes using Informatica. Working with large datasets to ensure data quality, performance, and reliability. Collaborating with architects, developers, analysts, and business stakeholders. Supporting CI/CD, automation, and DevOps best practices. Contributing to Agile delivery teams and driving engineering excellence. Essential Skills Strong experience with Informatica. Proven delivery experience on data engineering or data transformation projects. Hands on AWS experience. Experience working within Azure environments. Strong SQL skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena, and Redshift. Apache Spark and large-scale batch processing. Terraform, CI/CD pipelines, and Infrastructure as Code. Git/GitLab and modern software development practices. API integration and data services. Data warehousing, dimensional modelling, and dbt. Power BI familiarity. Experience working within government or highly regulated environments. What's In It For You? Opportunity to work on impactful, large-scale data programmes. Exposure to modern cloud and data technologies. Collaborative and supportive engineering culture. Ongoing professional development and certification opportunities. Flexible working arrangements and excellent career progression opportunities.

Job Title : Senior Data Platform EngineerJob Location : Guilford, UKJob Type: PermanentJob Description:Overall Objectives of the JobWe are seeking a skilled and experienced Senior Data / Platform Engineer to join our Data & Analytics team. This hybrid role combines hands-on data engineering on Databricks and Azure Synapse with platform administration responsibilities across our cloud data estate. The role holder will design, build, and operate scalable data pipelines while also maintaining the underlying Azure platform including infrastructure-as-code (Pulumi), CI/CD automation, monitoring, security, and Databricks workspace administration. The ideal candidate combines strong Python/PySpark engineering skills with deep Azure platform knowledge and a service-excellence mindset, ensuring the Client Data Technology platform remains secure, reliable, and aligned to Client standards.Duties and ResponsibilitiesLead solution design activities, collaborating with peers and mentoring junior colleagues to define and execute the team backlog.Develop, test, and document scalable ETL/ELT data pipelines and workflows using Databricks and Azure Synapse to ingest and transform data from a variety of sources.Administer and maintain Azure data platform components including Synapse, Databricks, ADLS Gen2, Key Vault, networking (VNets, NSGs, Managed Private Endpoints) and access control (RBAC, ACLs).Manage infrastructure-as-code across Dev, Staging, and Production environments using Pulumi (and equivalents such as Terraform / Bicep).Design and operate CI/CD pipelines using GitHub Actions (with OIDC federation) and/or Azure DevOps, supporting trunk-based development practices.Administer Databricks workspaces cluster policies, Secret Scopes, Repos/Git integration, Workflow job health, and Unity Catalog governance.Monitor platform and pipeline health using Azure Monitor, Log Analytics, KQL, and Azure Dashboards; triage and resolve incidents.Implement robust data security and ensure compliance with data privacy regulations; manage service principals, Managed Identities, and least-privilege access.Carry out routine platform operations: patching, backups, storage lifecycle, tagging, access reviews, DR readiness, and runbook execution.Identify and address performance bottlenecks and data quality issues to ensure data accuracy and reliability.Work with testers to ensure automated test plans are in place and agree test packs for UAT; review peers' work and take accountability for the quality of squad deliverables.Collaborate with stakeholders and analysts to understand data requirements and deliver clean, reliable, accessible data.Ensure solution designs align with the Client Data Technology Strategy, maintaining and enhancing Client standards and Service Excellence.Maintain technical documentation to Client standards (e.g., Grimlock) and stay current with industry trends, driving continuous improvement and innovation.Qualification, Experience, Technical and Functional SkillsBachelor's or Master's degree in Computer Science, Information Systems, or a related field, with 610 years of relevant experience in data engineering and Azure platform administration.Must HaveDatabricks: hands-on experience building and optimizing pipelines, managing Delta Lake, and administering workspaces (cluster policies, Unity Catalog, Secret Scopes, Workflows).Python / PySpark: strong programming skills for data processing, automation, and scripting.Azure data stack: Synapse, Databricks, ADLS Gen2, Key Vault including Linked Services, Managed Identity, and Spark Pool configuration.Azure platform fundamentals: compute, storage, networking (VNets, NSGs, Private Endpoints), identity and RBAC.CI/CD: GitHub Actions (with OIDC federation) and/or Azure DevOps for data and platform deployments.Infrastructure-as-Code: Pulumi (or Terraform / Bicep) across multiple environments.Scripting: PowerShell and Bash for platform automation.Monitoring & observability: Azure Monitor, Log Analytics, KQL.Big data file formats: Parquet and Delta Lake.Cloud-native data modelling and ETL/ELT frameworks on Azure.Good to HaveAzure certifications: AZ-104, AZ-400, DP-203.Azure Data Factory (ADF), Microsoft Purview, Microsoft Fabric.Data governance: lineage, cataloguing, sensitivity labels.Event-driven architectures: Kafka / Azure Event Hubs.Delta Live Tables, MLflow.IDMC Secure Agent, Power Automate flows.Security baselines: CIS / NIST.Observability tooling: OpenTelemetry, Datadog.AI tools and their application in data engineering.Knowledge of the UK Insurance Market.Agile / Scrum delivery experience.