machine learning engineer

ai engineer

data engineer

data scientist

senior software engineer

senior analytics engineer

Simply Business

<div>
 
 Who Are We?
 
 
 
 We insure small businesses and enable big dreams &ndash; not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.
 
 
 We&rsquo;re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called 'The Big Dreams Project&rsquo;, we're working to help 10,000 small businesses start or grow by 2030.
 
 
 Why not check out our advert on YouTube: Simply Business TV advert 2024: 'Simply the Best'.
 
 
 
 Job Category
 
 
 
 Technology
 
 
 
 Position Type
 
 
 
 Permanent
 
 
 
 Target Openings
 
 
 
 1
 
 
 
 What Is the Opportunity?
 
 
 
 
 Here's What You'll Be Doing
 
 
 
 Data and Analytics (DNA) is the heartbeat of Simply Business, empowering every decision we make with precision and insight. As our Senior Analytics Engineer, you&rsquo;ll be at the forefront of this mission, moving beyond standard reporting to build the high-performance, event-driven data models that power our AI and ML future.This role is a unique blend of technical mastery and strategic influence. You won't just be building pipelines; you&rsquo;ll be pioneering AI readiness by designing low-latency architectures that drive real-time decisions&mdash;from dynamic pricing to risk assessment&mdash;across our entire global operation
 
 
 
 As One Of Our Senior Analytics Engineers, You'll
 
 
 
 <ul>
 <li>
 Design and build authoritative data models in our warehouse, ensuring every asset is robust, scalable, and fully AI/ML ready.
 </li>
 <li>
 Integrate diverse new data sources to enrich our analytical capabilities and provide the complex datasets required for advanced machine learning.
 </li>
 <li>
 Collaborate across engineering and product teams to ensure application designs support sophisticated reporting and real-time AI features.
 </li>
 <li>
 Manage and optimise ELT pipelines that serve as the single source of truth for our Finance, Operations, and Marketing teams.
 </li>
 <li>
 Champion technical standards by mentoring junior engineers and driving best practices in data governance and quality assurance.
 </li>
 <li>
 Pioneer feature engineering pipelines that allow us to challenge the status quo and deliver refreshing, data-led solutions to our customers.
 
 
 </li>
 </ul>
 
 We're Looking For Someone Who Is
 
 
 
 <ul>
 <li>
 A seasoned data expert with 3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt.
 </li>
 <li>
 Technically proficient in cloud environments, with hands-on experience using Snowflake or Databricks to manage large-scale data assets.
 </li>
 <li>
 Experienced in building ML features, with a passion for creating the infrastructure that makes artificial intelligence possible.
 </li>
 <li>
 Adaptable and curious, ideally bringing familiarity with various programming languages and an interest in evaluating new tools to drive AI adoption.
 </li>
 <li>
 A proactive problem solver who might have experience with real-time streaming (like Apache Flink) or a background in the insurance domain.
 </li>
 <li>
 A relatable communicator who can translate complex technical architecture into plain English for stakeholders across the business.
 
 
 </li>
 </ul>
 We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points above to be considered for this role.
 
 
 We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.
 
 
 
 Ready to build the future of insurance?
 
 
 
 If you&rsquo;re a tech-minded engineer who thrives on complexity and wants to see your code drive real-world impact, we want to hear from you. At Simply Business, we&rsquo;ve moved past legacy constraints&mdash;we&rsquo;re building a high-scale, event-driven ecosystem where your work on AI-ready data models will directly protect over 900,000 customers. Join a team where your expertise is celebrated, your development is prioritised, and your technical vision helps us redefine what&rsquo;s possible in Insurtech.
 
 
 
 Apply now to start your journey with SB
 
 
 
 
 What Are The Benefits Of Working At Simply Business
 
 
 
 <ul>
 <li>
 we offer a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid
 </li>
 <li>
 on top of the 25 days annual leave (plus bank holidays), we offer the option to buy five more days of holiday with your flexible benefits
 </li>
 <li>
 our flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver
 </li>
 <li>
 our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday. And our long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service
 </li>
 <li>
 private medical insurance through BUPA, that covers any pre-existing condition is a core benefit. Plus a health cash plan that covers your everyday medical expenses
 </li>
 <li>
 we offer a competitive salary based on your experience and the current market. Plus the potential to earn an annual bonus based on performance
 </li>
 <li>
 access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling
 </li>
 <li>
 we match what you put into your pension up to five per cent. And pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme
 </li>
 <li>
 our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service)
 </li>
 <li>
 our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership
 
 
 </li>
 </ul>
 Ready to join us and drive our success as a high-performing team? Apply today.
 
 
 
 Employment Practices
 
 
 
 Simply Business is committed to providing equality and opportunities for all employees and candidates considering a career with us. We offer a workplace where colleagues are treated with respect and dignity. We don&rsquo;t (and won&rsquo;t) discriminate either directly or indirectly on the grounds of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation or relationship status at any stage of the hiring process or during the course of your employment.
</div>

Senior Analytics Engineer

Zoopla

<div>Who We Are
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches.
Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla&rsquo;s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.
What You&rsquo;ll Do
As a Senior Analytics Engineer in the Data Analytics team, you&rsquo;ll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. 
<ul><li>
Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.</li><li>
Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.</li><li>
Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.</li><li>
Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.</li><li>
Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.</li><li>
Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).</li></ul>
We&rsquo;re looking for someone who:<ul><li>
Has experience setting up &amp; developing dbt architecture using CI/CD practices (essential)</li><li>
Is highly proficient with SQL and data modelling best practices for optimising performance (essential)</li><li>
Has previously worked with visualisation tools such as Tableau or PowerBI (essential)</li><li>
Is confident collaborating and communicating with non-technical stakeholders (essential)</li><li>
Has experience integrating dbt with other tools in the modern data stack (essential)</li><li>
Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential)</li><li>
Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable)</li></ul>
Where You&rsquo;ll Be
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing.
Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you&rsquo;ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 
Benefits 
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</li><li>
Cycle to work and electric car schemes</li><li>
Free Calm App membership</li><li>
Enhanced Parental leave</li><li>
Fertility Treatment Financial Support</li><li>
Group Income Protection and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Cushman & Wakefield

<div>Job Title
Junior Analytics Engineer
Job Description Summary
Job Description
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.
Responsibilities:<ul><li>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</li><li>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</li><li>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</li><li>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</li><li>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</li><li>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</li><li>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</li><li>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</li><li>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</li><li>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</li><li>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</li><li>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</li><li>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</li></ul>
Requirements:<ul><li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</li><li>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</li><li>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</li><li>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</li><li>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</li><li>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</li><li>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</li><li>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</li><li>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</li><li>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</li><li>
Good communication skills, with the ability to ask clear questions and document work clearly.</li><li>
Knowledge of the real estate sector is a plus but not required.</li><li>
Fluent in English; additional European languages are an advantage.</li></ul> 
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact. 

INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

<div>Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.
At Hometrack, we are looking for an experienced Senior Machine Learning Engineer, to translate POC model code from data science and analytics into robust pipelines and live APIs.
Responsibilities:<ul><li>
Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and monitoring their performance over time.</li><li>
Work closely with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services.</li><li>
Develop automated workflows for model retraining, testing, and deployment to streamline the machine learning lifecycle.</li><li>
Advocate for and implement best practices in software engineering, including code reviews, continuous integration, and continuous delivery (CI/CD) for machine learning models.</li></ul>
Requirements:<ul><li>
Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control, testing frameworks, MLOps.</li><li>
Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code.</li><li>
Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM.</li><li>
Have worked with a cloud service, such as AWS.</li><li>
Familiarity developing Infrastructure as code (e.g Terraform, cloudformation).</li><li>
Have some experience with data engineering, building data pipelines with PySpark, SQL (E.g in Databricks, Glue) to power machine learning applications.</li><li>
Comfortable working with Docker and containerised applications.</li><li>
Experience leveraging AI native engineering tooling.</li><li>
Passion for building products that meet customer needs and business objectives.</li><li>
Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment.</li></ul> 

Benefits 
<ul><li>
Everyday Flex - greater flexibility over where and when you work</li><li>
25 days annual leave + extra days for years of service</li><li>
Day off for your birthday, house move, good deed day, and digital detox day</li><li>
Cycle to work and electric car schemes
</li><li>Free Calm App membership
</li><li>Enhanced Paternity Leave
</li><li>Fertility Treatment Financial Support
</li><li>Group Income Protection and private medical insurance</li><li>
Gym on-site in London &ndash; or membership in regional offices</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li><li>
Talent referral bonus up to &pound;5K</li></ul></div>

Senior Machine Learning Engineer

LSEG (London Stock Exchange Group)

<div>Manager, Data Engineering Lead
SwapClear and Listed Rates, LCH Ltd, London
<div><h1 class="jobSectionHeader">LCH, SwapClear and Listed Rates</h1></div>
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.
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
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.<div><h1 class="jobSectionHeader">
Role Profile</h1></div>
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.
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, Snowflake based data platform. This solution will enable robust, performant reporting, self-service analytics, and new data distribution patterns for our members and clients.
Joining as a Senior Engineer, you will be accountable for setting the platform&rsquo;s technical direction, delivering Reporting &amp; Data Analytics features, and ensuring the ongoing stability of the platform during and beyond the transformation.
You will be a technology leader with deep hands-on data engineering experience, strong technical judgement, and the seniority to engage confidently with Group Architecture, Group Data Governance, and senior business partners.
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.
You will ensure the platform evolves beyond migration into a scalable, governed platform that supports our members and clients, and internal partners. 
<div><h1 class="jobSectionHeader">Key Responsibilities</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. 
</li></ul><div><h1 class="jobSectionHeader">
Required Experience, Skills and Traits</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>
Desired Experience, Skills and Traits<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><div><h1 class="jobSectionHeader">
About the London Stock Exchange Group</h1></div>
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.
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).
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.
Career Stage:
Manager
London Stock Exchange Group (LSEG) Information:
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.
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.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change 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.
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.
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.
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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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.
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.</div>

Data Engineering Lead

Burns Sheehan

<div>
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
 
 
 
 
 
 📍 London (Hybrid, 3 days per week)
 
 
 
 
 
 
 
 💵 &pound;80,000 &ndash; &pound;90,000 + 10-20% Bonus
 
 
 
 
 
 
 
 💻 Python, Django, Flask, Pandas, APIs, Airflow, Data Processing
 
 
 
 
 
 
 
 📈 Growing Private Credit technology platform
 
 
 
 
 
 
 
 ⚙️ Backend ownership, platform engineering and data-adjacent challenges
 
 
 
 
 
 
 
 
 
 We're partnered with a specialist technology business operating within the Private Credit and Asset Finance space. Following multiple new client wins and a significant increase in platform demand, they're expanding their engineering team with the hire of a Senior Backend Engineer.
 
 
 
 
 
 This is a genuine ownership role within a small, highly capable engineering team. Engineers are responsible for features and components from design through to delivery, working closely with technical leadership and domain experts to shape the future of the platform.
 
 
 
 
 
 The business has built a sophisticated software platform used to manage and monitor complex financial workflows. As new projects continue to onboard, they're looking for an experienced Python engineer to help scale backend services, APIs and data-processing capabilities across the platform.
 
 
 
 
 
 One of the more interesting aspects of the opportunity is the level of influence available. There is no traditional product management layer, meaning engineers have direct input into technical decisions, ownership of meaningful components and the opportunity to shape how the platform evolves.
 
 
 
 
 
 
 Ideal profile:
 
 
 
 &bull; 5+ years' commercial software engineering experience
 
 
 &bull; Strong Python backend development experience
 
 
 &bull; Commercial experience with Django, Flask or similar frameworks
 
 
 &bull; Experience building APIs and backend services in production environments
 
 
 &bull; Comfortable working with data-processing workflows, ETL pipelines or DataFrame-style tooling
 
 
 
 
 
 
 
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
</div>

Senior Software Engineer

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