senior software engineer

ai engineer

data scientist

machine learning engineer

data engineer

cloud data engineer

Claims Recruitment Services Limited

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>23/06/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Permanent</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Insurance</b><b>
</b></div></div><div><p>City</p>
<div><b>London</b><b>
</b></div></div><div><p>Province</p>
<div><b>London</b><b>
</b></div></div><div><p>Country</p>
<div><b>United Kingdom</b><b>
</b></div></div><div><p>Postal Code</p>
<div><b>N/A</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>We are recruiting for a Data Engineer on behalf of one of the UK's fastest-growing technology consultancies, ranked in the Financial Times FT1000 Europe's Fastest-Growing Companies list in both 2025 and 2026.</p><p><br>
The successful candidate will contribute to the mission of protecting the UK through data-driven insights and solutions, working closely with public sector clients and project teams to develop and implement data engineering pipelines that support data science and business intelligence use cases.</p><p><b><br>
Key Responsibilities</b></p><br>
<ul><li>
Assessing clients' technical needs and managing stakeholder relationships appropriately.<br>
</li><li>
Identifying, designing, and implementing ETL / ELT pipelines across on-premise, cloud-based, and hybrid environments, including harvesting, ingesting, integrating, cleansing, migrating, and converting structured and unstructured data.<br>
</li><li>
Designing and managing data structures, storage, and data flows to enable analytics, machine learning, business intelligence, compliance, and system integration.<br>
</li><li>
Building solutions with security, compliance, scalability, reliability, and portability at their core, ensuring all data handling aligns with ethical principles and relevant legislation.</li></ul><p><b><br>
Key Requirements</b></p><br>
<ul><li>
3+ years of degree level industry experience in data engineering, preferably in a consultancy or client delivery setting.<br>
</li><li>
Proven experience across data analysis, extraction, transformation, and loading, with hands-on knowledge of relevant technologies such as Spark, Python, Kafka, SQL, Airflow, and cloud-based ETL services.<br>
</li><li>
Experience designing schemas for data warehouses and data marts, assessing data quality issues, and integrating quality checks into pipelines.<br>
</li><li>
Knowledge of cloud infrastructure (AWS, Azure, or GCP) and database technologies including relational and non-relational stores such as Postgres, Hadoop, Elasticsearch, and Graph databases.<br>
</li><li>
Solid understanding of coding best practices, design patterns, CI / CD tooling, versioning, dependency management, error handling, monitoring, and alerting.</li></ul><p><br>
If you want to apply your data engineering skills to work that genuinely matters, at a business with the momentum to match, get in touch today.</p><p><br>
Due to the nature of the clients and projects supported by this role, all candidates must be British nationals and eligible to obtain <b>UK Security Clearance (SC)</b>. Candidates holding dual nationality or multiple passports are unfortunately unable to be considered for this position.</p><div></div><div><i><br>
We do not retain any personal information without your permission. Please refer to our data protection policy on our official website for more information.</i></div></div></div></div><p></p>

Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
</p><p>As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology.</p>
<p>Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus
<br>
on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending,
<br>
customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs.<br>
<br>
</p><div><b>Job responsibilities
</b><br>
<ul><li>Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the
</li></ul>latest technologies and the best industry practices
<br>
<ul><li>Use domain modelling techniques to allow us to build best in class business
</li></ul>products.
<br>
<ul><li>Structure software so that it is easy to understand, test and evolve.
</li><li>Build solutions that avoid single points of failure, using scalable architectural
</li></ul>patterns.
<br>
<ul><li>Develop secure code so that our customers and ourselves are protected from
</li></ul>malicious actors.
<br>
<ul><li>Promptly investigate and fix issues and ensure they do not resurface in the future.
</li><li>Make sure our releases happen with zero downtime for our end-users.
</li><li>See that our data is written and read in a way that's optimized for our needs.
</li><li>Keep an eye on performance, making sure we use the right approach to identify
</li></ul>and solve problems.
<br>
<ul><li>Ensure our systems are reliable and easy to operate.
</li><li>Keep us up to date by continuously updating our technologies and patterns.
</li><li>Support the products you've built through their entire lifecycle, including in
</li></ul>production and during incident management<br>
<br>
</div><div><b>Required qualifications, capabilities &amp; skills</b><br>
<ul><li>Formal training or certification on data engineering concepts and applied
</li></ul>experience
<br>
<ul><li>Recent hands-on professional experience as a data engineer
</li><li>Experience in coding in a recent version of the Python programming language
</li><li>Experience in designing and implementing effective tests (unit, component,
</li></ul>integration, end-to-end, performance, etc.)
<br>
<ul><li>Excellent written and verbal communication skills in English
</li><li>Experience with cloud technologies and distributed systems
</li><li>Experience with data transformation frameworks and data pipeline orchestration
</li></ul>tools
<br>
<ul><li>Experience with managing large volumes of data and optimizing data processing
</li><li>Understanding of event-base architecture, data streaming and messaging
</li></ul>frameworks
<br>
<ul><li>Coach other team members on coding practices, design principles, and
</li></ul>implementation patterns that lead to high-quality maintainable solutions.
<br>
<ul><li>Manage stakeholders and effectively prioritize work across multiple work
</li></ul>streams.<br>
<br>
</div><div><b>Preferred qualifications, capabilities &amp; skills
</b><br>
<ul><li>Experience in working in a highly regulated environment / industry
</li><li>Experience with AWS cloud technologies
</li><li>Experience with data governance frameworks
</li><li>Understanding of incremental data processing and versioning
</li><li>Understanding of RESTful APIs and web technologies<br>
</li></ul></div><p></p><p>#ICBEngineering #ICBCareers</p>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>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. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Lead Data Engineer — International Consumer Bank (Chase UK)

TPXimpact

<div><h3 class="jobSectionHeader"><b>About The Role</b></h3>
<p><b>
Job level: 10<br>
</b></p><br>
<p>We&rsquo;re looking for a Lead Data Engineer to join our Data Engineering and Analytics practice.</p><br>
<p>
In this role, you will:</p><br>
<div></div>
<ul>
<li><p>Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible.</p>
</li><li><p>Coordinate teams and set best practices and standards when it comes to data engineering principles.</p>
</li><li><p>Champion data engineering across projects and clients.</p><br>
</li></ul><div></div><div><b>Responsibilities</b>
<ul>
<li><p>Lead by example, holding responsibilities for team culture, and how projects deliver the most impact and value to our clients.</p>
</li><li><p>Be accountable for the strategic direction, delivery and growth of our work.</p>
</li><li><p>Lead teams, strands of work and outcomes, owning commercial responsibilities.</p>
</li><li><p>Hold and manage uncertainty and ambiguity on behalf of clients and our teams.</p>
</li><li><p>Ensure teams and projects are inclusive through how you lead and manage others.</p>
</li><li><p>Effectively own and hold the story of our work, ensuring we measure progress against client goals and our DT missions.</p>
</li><li><p>Work with our teams to influence and own how we deliver more value to clients, working with time and budget constraints.</p>
</li><li><p>Strategically plan the overall project and apply methods and approaches.</p>
</li><li><p>Demonstrably share work with wider audiences.</p>
</li><li><p>Elevate ideas through how you write, speak and present.</p><br>
</li></ul><p></p><div><div><b>Dimensions</b></div><br>
<div><b>
</b></div><div><ul><li><p><b>Headcount</b><b>:</b> Typically leads a multidisciplinary team or multiple workstreams (team size 5&ndash;15)</p>
</li></ul><ul><li><p><b>Resource complexity:</b> Provides leadership across multiple workstreams or technical domains within a project or programme. Responsible for delivery coordination, prioritisation, and quality, often overseeing more junior leads or specialists.</p>
</li><li><p><b>Problem-solving responsibility</b><b>:</b> Solves highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity.</p>
</li><li><p><b>Change management requirements:</b> Leads or co-leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working.</p>
</li><li><p><b>Internal/External interactions:</b> Acts as a trusted partner to client and internal stakeholders at multiple levels. Leads workshops, presentations, and stakeholder engagement to ensure buy-in, alignment, and delivery clarity.</p>
</li><li><p><b>Strategic timeframe working towards:</b><b> </b>Works across mid- to long-term delivery cycles (6&ndash;12 months), ensuring that near-term work supports broader programme and client objectives.</p>
</li></ul></div></div></div><h3 class="jobSectionHeader"><b>About You</b></h3>
<b>Professional knowledge and experience</b>
<p><b>
Essential</b></p>
<ul>
<li><p>Proven experience in data engineering, data integration and data modelling</p>
</li><li><p>Expertise with cloud platforms (e.g. AWS, Azure, GCP)</p>
</li><li><p>Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks)</p>
</li><li><p>Expertise with multiple data analytics tools (e.g. Power BI)</p>
</li><li><p>Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling</p>
</li><li><p>Proficiency in advanced programming languages (Python/PySpark, SQL)</p>
</li><li><p>Experience in data pipeline orchestration (e.g. Airflow, Data Factory)</p>
</li><li><p>Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc)</p>
</li><li><p>Ability to communicate technical concepts to both technical and non-technical audiences</p>
</li><li><p>Proven experience in delivery of complex projects in a fast paced environment with tight deadlines</p><br>
</li></ul><br>
<p><b>Desirable</b></p>
<ul>
<li><p>Advanced knowledge of data governance, data standards and best practices.
</p></li><li><p>Experience in a consultancy environment, demonstrating flexibility and adaptability to client needs.</p>
</li><li><p>Experience defining and enforcing data engineering standards, patterns, and reusable frameworks</p>
</li><li><p>Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer)</p><br>
</li></ul><div></div><div><b>Skills</b>
<p><b>
Data Development Process</b></p>
<ul>
<li>Design, build and test data products that are complex or large scale</li>
<li>Build and lead teams to complete data integration services integration and reusable pipelines that meet performance, quality and scalability standards</li>
<li>Collaborate with architects to align solutions with enterprise data strategy and target architectures</li>
</ul>
<p><b>Data Engineering and Manipulation</b></p>
<ul>
<li>Work with data analysts, engineers and data science and AI specialists to design and deliver products into the organisation effectively.</li>
<li>Understand the reasons for cleansing and preparing data before including it in data products and can put reusable processes and checks in place.</li>
<li>Access and use a range of architectures (including cloud and on-premise) and data manipulation and transformation tools deployed within the organisation.</li>
<li>Optimise data pipelines and queries for performance and cost efficiency in distributed environments</li>
</ul>
<p><b>Testing (Data)</b></p>
<ul>
<li>Review requirements and specifications, and define system integration testing conditions for complex data products and support others to do the same</li>
<li>Identify and manage issues and risks associated with complex data products and support others to do the same</li>
<li>Analyse and report system test activities and results for complex data products and support others to do the same</li>
</ul>
<p><b>Other Skills</b></p>
<ul>
<li>Proficiency in developing and maintaining complex data models (conceptual, logical and physical).</li>
<li>Strong skills in data governance and metadata management.</li>
<li>Experience with data integration design and implementation.</li>
<li>Ability to write efficient, maintainable code for large scale data systems.</li>
<li>Experience with CI/CD pipelines, version control, and infrastructure-as-code (e.g. Git, Azure DevOps).</li>
<li>Strong stakeholder communication skills, with the ability to translate technical concepts into business terms.</li>
<li>Ability to mentor junior engineers, foster collaboration, and build a high-performing data engineering culture.</li>
</ul><div><b>Behaviours and PACT values</b>
<ul><li><b>Purpose:</b> Be values-driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs.</li>
<li><b>Accountability:</b> Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost.</li>
<li><b>Craft:</b> Balance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes.</li>
<li><b>Togetherness:</b> Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients.</li></ul><div><br>
</div>
<br>
</div></div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><b>People-Powered Transformation</b></div><br>
<div></div>
<div>
<p>We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we&rsquo;re creating sustainable solutions ready for an ever-evolving world.</p><br>
<p></p>
<p>
At the heart of TPXimpact, we&rsquo;re collaborative and empathetic. We&rsquo;re a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That&rsquo;s why we believe in people-powered transformation.</p><br>
<p></p>
<p>
Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting.</p><br>
<p></p>
<p><b>
Benefits Include:</b></p>
<ul>
<li>30 days holiday + bank holidays</li>
<li>2 volunteer days for causes that you are passionate about</li>
<li>Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave</li>
<li>Life assurance</li>
<li>Employer pension contribution of 5%</li>
<li>Health cash plan</li>
<li>Personal learning and development budget</li>
<li>Employee Assistance Programme</li>
<li>Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme</li>
<li>Health assessments</li>
</ul>
</div><div><p><b>About TPXimpact - Digital Transformation</b></p><br>
<p>
We drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities.<br>
</p><p>By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact.</p><br>
<p></p>
<p><b>
We&rsquo;re an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have accessibility requirements during the interview.</b></p></div></div><p></p>

Lead Data Engineer

Capgemini

<div><div><div><div><p><b>About the Job you are considering:</b></p>
<p>We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and Lakehouse solutions for a banking client.</p>
<p>The ideal candidate should have strong experience in building enterprise-grade data platforms, processing large volumes of structured and semi-structured data, and implementing secure, reliable, and high-performance data pipelines in AWS-based environments.</p>
<p><b>Hybrid working:</b></p>
<p>The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
<p><b>Your Role:</b></p>
<ul><li>Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI.</li>
<li>Design scalable and secure lakehouse architecture using bronze, silver, and gold data layers.</li>
<li>Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions.</li>
<li>Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints.</li>
<li>Define architecture patterns for batch, incremental, real-time, and API-based data ingestion.</li>
<li>Design reusable data ingestion and transformation frameworks using ADF and Databricks.</li>
<li>Define data models for London Market Insurance data including policy, claims, premium, broker, bordereaux, delegated authority, reinsurance, exposure, and regulatory reporting data.</li>
<li>Work with business analysts and insurance SMEs to understand London Market business processes and translate requirements into data architecture.</li>
<li>Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability.</li>
<li>Design data governance, security, access control, and compliance frameworks for insurance data.</li>
<li>Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system decommissioning initiatives.</li>
<li>Review technical designs, data models, ETL/ELT pipelines, and engineering implementation.</li>
<li>Provide architectural guidance to data engineers working on Azure Databricks, ADF, PySpark, SQL, and Delta Lake.</li>
<li>Collaborate with enterprise architecture, solution architecture, security, infrastructure, DevOps, and business teams.</li>
<li>Define CI/CD, DevOps, deployment, monitoring, and operational support architecture for data platforms.</li>
<li>Identify performance, scalability, reliability, and cost optimisation opportunities across Azure data services.</li>
<li>Support governance forums, architecture review boards, design authority meetings, and client stakeholder workshops.</li>
</ul><p><b>Your Skills:</b></p>
<ul><li>Strong hands-on experience with Databricks on AWS.</li>
<li>Strong experience with Apache Spark / PySpark.</li>
<li>Excellent programming skills in Python.</li>
<li>Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization.</li>
<li>AWS Secrets Manager &ndash; Secure secrets and credential management.</li>
<li>Amazon CloudWatch &ndash; Monitoring, logging, and alerting.</li>
<li>AWS Step Functions &ndash; Workflow orchestration, if applicable.</li>
<li>Amazon RDS / Aurora / Redshift &ndash; Source or target databases, where applicable.</li>
<li>Develop and maintain Databricks notebooks, workflows, jobs, and libraries.</li>
<li>Build reusable PySpark frameworks for ingestion, transformation, and data validation.</li>
<li>Implement Delta Lake features such as ACID transactions, schema evolution, time travel, and optimized storage.</li>
<li>Design and implement bronze, silver, and gold layers using medallion architecture.</li>
<li>Tune Databricks clusters for performance and cost optimization.</li>
<li>Monitor Databricks jobs and handle failures, retries, alerts, and job dependencies.</li>
<li>Implement job orchestration using Databricks Workflows, Airflow, AWS Step Functions, or similar tools.</li>
<li>Manage secrets, environment variables, and secure connections.</li>
<li>Support migration from legacy Hadoop/Spark platforms to Databricks on AWS, if required.</li>
</ul><p><b>'We are a Disability Confident Employer:</b></p>
<p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p>
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul><p>Please opt in during the application process.</p>
<p><b>Make It Real (what does it mean for you):</b></p>
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.</li>
<li>To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul><p><b>Why you should consider Capgemini:</b></p>
<p>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.</p>
<p><b>About Capgemini:</b></p>
<p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.</p>
<p><b>Make it real | www.capgemini.com</b></p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>The role is responsible for creating visual representations of data, concepts, ideas, or designs to facilitate understanding, communication, and decision-making. The work also involves translating complex information into visual formats that are clear, engaging, and impactful.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>The role leverages their expertise in visual communication and data visualization to help clients make informed decisions, enhance their data driven storytelling, and improve their overall visual communication strategies.</div></div></div></div></div></div></div>

AWS Databricks Engineer

LSEG (London Stock Exchange Group)

<div><p><b>Manager, Data Engineering Lead</b></p><p><b>
SwapClear and Listed Rates, LCH Ltd, </b><b>London</b><b>
</b></p><p></p><div><h1 class="jobSectionHeader"><b>LCH, SwapClear and Listed Rates</b></h1></div><p>
LCH Ltd is an international multi-asset class central counterparty clearing house (CCP), part of the London Stock Exchange Group. LCH Ltd serves a broad range of exchanges and over-the-counter trading platforms providing critical risk management services. It has a unique membership model and its customers span the globe and include major financial groups (including the majority of the major investment banks), broker-dealers and specialist commodity houses and a wide range of buy-side and real-money firms including major asset managers and large hedge funds.</p><p></p><p>
This role provides an opportunity to work on one of the most critical finance technology functions in the world. The LCH CCP is systematically significant to the world&rsquo;s financial markets which requires technology that has to be very resilient and with strong controls. LSE Group also provides a chance to work with other technology teams across the Exchange, and the rest of the Post Trade Businesses</p><p></p><p>
LCH SwapClear &amp; Listed Rates is the major clearing business for LCH and LSEG, one of the company flagships and the global leader in IRS Clearing. SwapClear is the largest global Rates platform in the world with the highest standards of resilience. The Platform clears ~9m new trades per annum and supports various daily post-trade processing features, such as margin optimisations. 90% of the cleared interest rate swaps globally pass through the platform, and we regularly clear in excess of $3.5 trillion notional per day with over 60 member bank groups and over 1000 clients serviced.</p><p></p><div><h1 class="jobSectionHeader"><b>
Role Profile</b></h1></div><p>
The Reporting &amp; Data Analytics platform underpins regulatory reporting, risk visibility, member reporting and internal analytics across SwapClear and Listed Rates. Given the scale, criticality and regulatory scrutiny of this data, the platform is subject to exacting availability, accuracy, lineage and governance requirements.</p><p>
LCH has embarked on a strategic transformation of its Reporting &amp; Data Analytics architecture, moving from legacy on-premise Oracle / Informatica stacks to a cloud native, <b>Snowflake </b>based data platform. This solution will enable <b>robust, performant</b> reporting, <b>self-service</b> analytics, and <b>new data distribution patterns</b> for our members and clients.</p><p>
Joining as a <b>Senior Engineer</b>, you will be accountable for setting the platform&rsquo;s<b> technical direction</b>, <b>delivering </b>Reporting &amp; Data Analytics features, and ensuring the <b>ongoing stability</b> of the platform during and beyond the transformation.</p><p>
You will be a technology leader with <b>deep hands-on data engineering experience</b>, strong technical judgement, and the seniority to engage confidently with <b>Group Architecture, Group Data Governance, and senior business partners</b>.</p><p>
You will lead a team of engineers to deliver the reporting and data analytics transformation, with responsibility for technical standards and professional development. You will ensure the team designs and builds solutions in line with our Engineering Principles, taking a data-driven approach, innovating with purpose, and acting as an owner.</p><p>
You will ensure the platform evolves beyond migration into a <b>scalable, governed platform</b> that supports our members and clients, and internal partners.</p><p><br>
</p><p></p><div><h1 class="jobSectionHeader"><b>Key Responsibilities</b></h1></div><ul><li>
Technology owner of the end-to-end data solutions for reporting and data analytics across SwapClear and Listed Rates.</li><li>
Lead the safe migration from legacy Oracle / Informatica platform to the target cloud architecture. Take accountability for successful legacy decommissioning, not just building the new platform.</li><li>
Lead the design, implementation and multi-year phased delivery for SwapClear and Listed Rates.</li><li>
Define and drive evolution of the Strategic Cloud data platform, ensure it is fit for purpose for SwapClear and Listed Rates use cases.</li><li>
Ensure the E2E platform meets availability, performance, resilience and security expected of a &quot;systemically important&quot; clearing house.</li><li>
Assists Product Owners and Delivery Leads with delivery planning of business goals/outcomes.</li><li>
Act as a senior technical partner to Group Architecture Authority, Group Data Governance and Product and business partners.</li><li>
Partner with Quality engineering to ensure that all aspects of the software development lifecycle is delivered to high levels of quality and using modern testing standards, automation and cloud-native practices.</li><li>
Build and maintain strong relationships with internal and external partners, using influence and trust to drive alignment, resolve challenges, and promote shared quality goals.<br>
</li></ul><div><h1 class="jobSectionHeader"><b>
Required Experience, Skills and Traits</b></h1></div><ul><li>
15+ years of hands-on software engineering experience, including at least 5+ years as a technical lead, with consistent track record of delivering high-quality solutions</li><li>
Shown leadership of enterprise scale Snowflake (or similar) data platform implementations.</li><li>
ELT data architectures, using dbt or similar</li><li>
Cloud data lake and data warehouse solutions</li><li>
Solid experience of data-centric solution using SQL, PL/SQL and Python</li><li>
Data warehouse modelling approaches</li><li>
Deep expertise in<ul><li>
Immutable, incremental and versioned data architectures</li><li>
Enterprise scale data modelling</li><li>
Data governance, lineage and control frameworks</li></ul></li><li>
Strong engineering background with the ability to engage deeply in design and implementation.</li><li>
Prior experience working with Informatica PowerCenter or similar solutions.</li><li>
Quality-first approach</li><li>
Seniority and credibility to influence group level architecture and governance bodies.</li><li>
Passionate about metrics driven approach and leading with data.</li><li>
Practical and relevant AI experience in data engineering / migrations use cases</li><li>
Detail oriented problem solver, comfortable &ldquo;diving-deep&rdquo;</li></ul><p></p><p><b>
Desired Experience, Skills and Traits</b></p><ul><li>
Experience operating in regulated, high availability environments.</li><li>
Degree in Computer Science, Software Engineering or equivalent.</li><li>
Knowledge and practical experience running technology both on prem and in cloud.</li><li>
Experience of large-scale real-time and batch process orchestration, optionally with third-party orchestration engines</li><li>
Good understanding of cyber security standards and practices and follows secure-by-design principle.</li><li>
Experience of working with agile frameworks like Scrum, Kanban.</li><li>
Background working in financial industry</li><li>
Experience of modern observability platforms e.g. DataDog</li></ul><p></p><div><h1 class="jobSectionHeader"><b>
About the London Stock Exchange Group</b></h1></div><p>
LSEG&rsquo;s vision is to be the most trusted expert in global financial markets. This is achieved through leading the world in providing access to capital, helping customers optimise capital resources and promoting trusted and transparent environments and services for investment.</p><p>
LSEG is a diversified international exchange Group that sits at the heart of the world's financial community. The Group operates through four key business divisions: Capital Markets (broad range of international equity, bond and derivatives markets); Post Trade (post trade and risk management services); Global Technology Services (high performance trading platforms and capital markets software); and Information Services (real-time and reference data products).</p><p>
LSEG prides itself on operating a neutral, trusted, well-regulated and systemically important market infrastructure and does this within a fast paced, real-time and highly regulated environment. The Group is accountable to its shareholders, clients, regulators and the societies in which it operates and the Group Values and Behaviours underpin how the Group meets those accountabilities.</p><p></p><p><b>
Career Stage:</b></p>
Manager<p></p><p><b>
London Stock Exchange Group (LSEG) Information:</b></p><p>
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.</p><p></p><p>
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.</p><p></p><p>
Our purpose is the foundation on which our culture is built. Our values of <b>Integrity, Partnership</b>, <b>Excellence</b> and <b>Change</b> underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.</p><p></p><p>
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.</p><p></p><p>
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.</p><p></p><p>
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.</p><p></p><p>
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.</p><p></p><p>
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
</p><p></p><p>If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</p></div>

Data Engineering Lead

Selby Jennings

<div>
 <p>
  Our client a quantitative and systematic hedge fund looking for a Cloud Engineer. This role sits within a globally distributed quantitative research and engineering organisation where you will design, build, and evolve advanced cloud platforms that power large‑scale modelling, complex data analysis, and high‑throughput experimentation. You will work directly with researchers and engineers to architect bespoke cloud environments, enabling rapid iteration, secure computation, and efficient scaling across a wide range of analytical workloads.
 </p>
 <p>
 </p>
 <p>
  The ideal candidate is a highly skilled cloud engineer with deep architectural experience, a passion for automation, and a strong understanding of modern research‑driven compute environments. You be comfortable owning end‑to‑end technical decisions, and enjoy building infrastructure that directly accelerates scientific and analytical innovation. This is a high‑impact role for someone who thrives in technically demanding, fast‑moving environments.
 </p>
 <p>
 </p>
 <p>
  Responsibilities:
 </p>
 <ul>
  <li>
   Design and deploy tailored AWS architectures that support high‑performance modelling, experimental workloads, and large‑scale compute pipelines.
  </li>
  <li>
   Collaborate closely with research, engineering, and data teams to build flexible, secure, and scalable cloud environments aligned with demanding analytical requirements.
  </li>
  <li>
   Ensure exceptional reliability, availability, and performance across compute, storage, orchestration, and monitoring layers.
  </li>
  <li>
   Automate cloud provisioning, configuration, and observability using modern IaC and DevOps practices to accelerate development cycles.
  </li>
  <li>
   Continuously refine and optimise cloud systems for scalability, cost‑efficiency, operational simplicity, and long‑term platform evolution.
  </li>
 </ul>
 <p>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   Previous experience in cloud engineering or architecture experience with strong hands‑on expertise in AWS environments.
  </li>
  <li>
   Deep understanding of core AWS services including container orchestration, compute, storage, networking, monitoring, and identity/security services.
  </li>
  <li>
   Proven ability to design secure, resilient, and highly available cloud platforms for data‑intensive or compute‑heavy environments.
  </li>
  <li>
   Strong familiarity with DevOps and IaC tooling (e.g., Terraform), containerisation, Kubernetes, and modern cloud‑native patterns.
  </li>
  <li>
   Excellent troubleshooting, communication, and cross‑team collaboration skills, with the ability to operate confidently in fast‑paced technical environments.
  </li>
 </ul>
</div>


Cloud Engineer AWS

Information Tech Consultants

<div>
 <p>
  <strong>
   Job Title:
  </strong>
  Data Scientist/Machine Learning Engineer
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UK
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  2&ndash;5 years
 </p>
 <p>
  <strong>
   Education:
  </strong>
  Master's in Science (IT/Computer Science/Engineer)
 </p>
 <p>
  <strong>
   Employment Type:
  </strong>
  Full-Time
 </p>
 <p>
  <strong>
   UK based candidates only.
  </strong>
 </p>
 <p>
  Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <ul>
  <li>
   2-4 years of experience in Data science/Machine learning models from coding to deployment.
  </li>
  <li>
   Work with datasets using Python or R, SQL, No SQL.
  </li>
  <li>
   Assist in developing predictive and statistical models
  </li>
  <li>
   Write and optimize queries using SQL.
  </li>
  <li>
   Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
  </li>
  <li>
   Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
  </li>
 </ul>
 <p>
  <strong>
   Preferred Skills:
  </strong>
 </p>
 <ul>
  <li>
   Hands on experience in coding (mandatory python and SQL or C++).
  </li>
  <li>
   Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
  </li>
  <li>
   Familiarity working with large data sets.
  </li>
  <li>
   Project Management background preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications :
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Master&rsquo;s (Required)
   </strong>
   in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
  </li>
  <li>
   You should be entitled to work in the UK with legal work authorization status.
  </li>
  <li>
   Must be willing to travel within the UK as per project/client requirements.
  </li>
  <li>
   Excellent communication skills and teamwork skills.
  </li>
 </ul>
 <p>
 </p>
</div>


Machine Learning Engineer

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