senior software engineer

ai engineer

data engineer

machine learning engineer

software engineer

senior software engineer analytics

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>

Senior Analytics Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Own the analytics that leadership actually uses to run the business. As a Senior Business Intelligence Engineer, you'll define the metrics, build the data products, and deliver the analysis that directors and VPs depend on for high-stakes decisions where accuracy isn't negotiable. 
 
This is a senior role on a team that works closely with business leaders, so the problems you take on are ambiguous, consequential, and rarely solved by a standard report. You'll translate unclear business questions into precise, measurable analysis, build the data foundation to answer them, and defend your methodology when senior stakeholders press on it. We value depth and detail: clean logic, defensible metric definitions, and analysis that holds up under scrutiny. 
 
Why you'll want this role: 
 
<ul><li>A direct line of sight from your analysis to the decisions leadership makes</li><li>Hard problems with real stakes,</li><li>A team that cares about mechanisms, clarity, and getting definitions right</li><li>Room to set standards and grow into broader technical leadership</li></ul> 
Key job responsibilities 
What you'll do: 
 
<ul><li>Lead analytics on executive-level projects from the first question through to a clear recommendation</li><li>Build and own the pipelines, models, and dashboards that drive decisions, with reliability treated as part of the job</li><li>Set the standard for metric definitions, finance and operational reconciliation, and data quality across the team</li><li>Mentor other BIEs and raise the bar on SQL, data modeling, and analytical rigor</li><li>Present to senior leadership, demonstrating leadership principles: Ownership, and Have Backbone; Disagree &amp; Commit</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience with SQL</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience in the data/BI space</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience managing, analyzing and communicating results to senior leadership</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Business Intelligence Engineer, EU Retail TCEE Data & Analytics

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>

Leonardo

<div>Job Description:<div>
Salary Range: &pound;40,000 &ndash; &pound;71,400 basic with a 12.5% uplift</div><div><div><div><div><div><div><div><div><div>
Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.</div></div></div></div></div></div></div></div></div>
Your impact
Our Central London team is looking for talented and enthusiastic analysts to perform weapon system assessments for our UK Ministry of Defence (MOD) customer. The role will suit either recent STEM graduates, postgraduates, or those with relevant industry experience of systems engineering who wish to apply their abilities in a technical analysis and systems assessment environment. You will help ensure that MOD&rsquo;s weapon assessments are robust and delivered in a timely manner to UK Defence partners and front-line forces.
This is intended as a fulltime position, but we would consider part time working of 4 days per week. This is primarily an on-site role with some possibility for hybrid working.<ul><li>
Customer Integration: You will be a member of a weapons project team within our larger Defence Analytics Group working in Central London. The group is integrated into a joint unit with government employees, members of the armed forces, and other contractors.</li><li>
The Challenge: To conduct analysis to assess the performance and capability of weapon systems. Complex problems are solved through the application of scientific methods, physical principles, data analytics, and AI and Machine Learning to intractable data sets. This process may involve new techniques and their encapsulation in improved tools.</li><li>
Collaboration: You will be working in close liaison with teams within the UK and partner nations, with the opportunity to contribute, influence, challenge and improve joint ways of working and knowledge.</li><li>
Breadth: You will be working in an environment where both the complexity and capabilities of the systems are continually evolving throughout the world.</li></ul>
What you&rsquo;ll do as a Defence Analytics Engineer:<ul><li>
Conduct analysis through the application of physical principles to real world problems. This will be facilitated through the suite of in-house software tools and the development of ad-hoc software, primarily in Python.</li><li>
Production of reports and presentations of your work and presentation of them to local MOD customers and the wider community both within the UK and partner nations.</li><li>
Provide ad hoc advice and support to MOD customers, often at short notice.</li><li>
Use your developing experience and knowledge to propose and implement improvements to tools and processes.</li><li>
In conjunction with the project team conduct regular liaison with both MOD and the wider customer base to keep them informed of recent developments and to determine future analysis requirements.</li><li>
Seek co-operative and collaborative approaches with our UK and multi-national partners, identifying best practice.</li><li>
Travel for technical exchanges with our partners, in the UK and abroad.</li></ul>
What you&rsquo;ll bring<ul><li>
A good understanding of scientific methods and their use through the application of fundamental physical principles.</li><li>
A degree in a STEM subject and strong numerical and analytical skills, with the ability to apply these to real world problems.</li><li>
Good Interpersonal skills to facilitate collaborative and effective working within an inter-disciplinary team.</li><li>
Ability to problem solve and self-steer, work to deadlines as necessary, sometimes at short notice.</li><li>
Ability to communicate, both in writing and verbally, with audiences of differing technical backgrounds and seniority.</li><li>
Although not essential, an appreciation of aerospace technologies, such as aerodynamics, propulsion, guidance &amp; control, weapon systems and sensors would be an advantage.</li><li>
Experience of Python, C# and AI/ML would be a distinct advantage.</li></ul>
This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.
Security Clearance
This role is subject to pre-employment screening in line with the UK Government&rsquo;s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) will apply, this will include meeting the eligibility requirements for The Security Check (SC) and Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting
Why join us
At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work&ndash;life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we&rsquo;re here to help you thrive.<ul><li>
Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.</li><li>
Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution.</li><li>
Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity).</li><li>
Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.</li><li>
Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.</li><li>
Refer a friend: Receive a financial reward through our referral programme.</li><li>
Tailored Perks: Spend up to &pound;500 annually on flexible benefits including private healthcare, dental, family cover, tech &amp; lifestyle discounts, gym memberships and more.</li><li>
Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.</li></ul>
For a full list of our company benefits please visit our website.
Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team&mdash;they are key contributors to shaping innovation, advancing technology, and enhancing global safety.
At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.
Be part of something bigger - apply now!
Primary Location:
GB - London - Whitehall
Contract Type:
Permanent
Hybrid Working:
Onsite</div>

Defence Analytics Engineer

Tapestry

<div>Explore the possibilities across our global house of brands. 
 
Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story. 
 
At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.
Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry&rsquo;s EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience.
The successful individual will leverage their proficiency in Data Analytics to:
<ul><li>Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data‑driven analysis, strategies and tools
</li><li>Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading‑indicator insights
</li><li>Perform large‑scale analysis that uncovers high‑impact acquisition drivers, media‑spend efficiency and revenue‑boosting actions; translate results into clear, data‑driven stories
</li><li>Drive organisation‑wide adoption of data. Measure outcomes, showcase impact and encourage a data‑first mindset for decision‑making.
</li><li>Embed predictive models, automated reporting and AI‑driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes
</li><li>Drive adoption of automation &amp; AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models
</li><li>Collaborate with data‑engineering, data‑science and algorithm teams to innovate data sourcing, management and product solutions
</li><li>Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross‑regional data collaboration
</li><li>Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self‑service data
</li><li>Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site‑consumer journey &amp; conversion, and focus the organisation on acquisition levers
</li></ul>The accomplished individual will possess:
<ul><li>5+ years of hands‑on analytics experience within retail, eCommerce, or consulting environments
</li><li>Advanced SQL and ETL capabilities
</li><li>Strong data‑visualisation expertise (Tableau or comparable)
</li><li>Hands‑on experience with Google Analytics and BigQuery
</li><li>Proficiency in Python or R for analysis and modelling
</li><li>Proven ability to drive adoption of data‑based measurement and turn metrics into strategic actions
</li><li>Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI‑assisted tools)
</li><li>Excellent storytelling, communication, and relationship‑building skills
</li><li>Track record of translating analytics into revenue‑driving initiatives and improving gross margin
</li><li>Ability to prioritise dynamically in a fast‑paced, global environment
</li><li>Bachelor&rsquo;s degree in a quantitative or technical discipline
</li><li>Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.)
</li><li>Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling
</li><li>Prior success influencing global data‑culture change and promoting data‑centric decision making
</li></ul>Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK.
What Tapestry can offer you:
<ul><li>Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely)
</li><li>Option to finish early on a Friday (Flex Fridays)
</li><li>1 paid volunteering day per year and opportunities to volunteer with global projects
</li><li>Learning &amp; development opportunities
</li><li>Internal mobility &amp; career progression
</li><li>Regular social events - seasonal &amp; cultural
</li><li>Equity Inclusion &amp; Diversity initiatives which include employee resource groups &amp; regional inclusion council 
</li></ul> 
Other benefits include:
<ul><li>25 days holiday in addition to bank holidays
</li><li>Annual Incentive Plan (company performance bonus)
</li><li>Multi brand discount up to 50% off &ndash; Coach and Kate Spade.
</li><li>Private healthcare with health assessment (Bupa)
</li><li>Bupa rewards - Financial wellbeing support and wellness discounts
</li><li>Private dental cover
</li><li>Free 24/7 support for family building, fertility and menopause with Maven
</li><li>Eyecare vouchers
</li><li>Employee assistance programme
</li><li>Enhanced employer pension contribution
</li><li>Gym discount
</li><li>Interest free season ticket loan
</li><li>Cycle to work scheme
</li></ul>At Tapestry, we are committed to building a diverse &amp; inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that&rsquo;s ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you.
 
 
Our Competencies for All Employees
 
Courage : Doesn&rsquo;t hold back anything that needs to be said; provides current, direct, complete, and &ldquo;actionable&rdquo; positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
 
Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
 
Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
 
Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn&rsquo;t upset when things are up in the air; doesn&rsquo;t have to finish things before moving on; can comfortably handle risk and uncertainty.
 
Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
 
Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
 
Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
 
 
Our Competencies for All People Managers
 
Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
 
Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
 
Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant&rsquo;s or employee&rsquo;s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
 
 
Visit Tapestry, Inc .</div>

Senior Manager, Data Analytics

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

Elsevier

<div>Senior Software Engineer I &ndash; Search and AI Platform
Are you passionate about building scalable, high-performance data-driven applications?
 
Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact? 
 
About the team:
The Search and AI Platform is Elsevier&rsquo;s agentic data platform, which powers products such as LeapSpace, Scopus, ScienceDirect, Clinical Key, Reaxys, and our next-generation AI powered search systems. The platform uses agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data to deliver insights to the scientific community so they can collaborate more effectively, work smarter, and deliver quality research more quickly.
We are looking for an innovative, passionate Senior Software Engineer II to work as part of the teams building and enhancing our platform to deliver intelligent, scalable solutions that create real value for our clients.
About the role:
The Shared Graph Team is a core part of Elsevier&rsquo;s Search and AI Platform . This team builds structured queries based on relationships and entity metadata hydration, enabling advanced traversal, discovery, and recommendation systems. As a Senior Software Engineer II , you will work with a passionate team that delivers scalable, reliable, and innovative solutions that accelerate scientific discovery.
Key responsibilities:
<ul><li>Design and implement graph-based search services.
</li><li>Develop applications using Java , Spring Boot, Spring, GraphQL , and GraphQL Federation .
</li><li>Integrate with databases, web services, or AWS services (Neo4j, DynamoDB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines.
</li><li>Champion clean code, SOLID principles, and engineering best practices , setting standards and mentoring engineers.
</li><li>Collaborate with product managers and engineering teams to deliver advanced search and recommendation features.
</li><li>Ensure robust monitoring and logging with New Relic and Coralogix , driving reliability and performance.
</li></ul>Requirements:
<ul><li>4+ years of professional software engineering experience in distributed systems or search platforms .
</li><li>Proven track record building scalable backend systems and APIs.
</li><li>Strong expertise in Java and the Spring Boot ecosystem .
</li><li>Hands-on experience with GraphQL API/REST APIs design.
</li><li>Solid background in cloud-native architectures with AWS and Kubernetes (EKS) .
</li><li>An advocate of best practices for rapid development of quality software, including SOLID principles, clean code, architectural design patterns, CI/CD
</li><li>Familiarity with Agile, Kanban, or other iterative development methodologies.
</li><li>Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem
</li><li>An inclusive, positive, collaborative mindset and a desire to deliver real business value to our customers
</li></ul>Nice to have:
<ul><li>Experience with Apollo Router or advanced GraphQL federation strategies.
</li><li>Background in data modelling for graph-based systems .
</li><li>Familiarity with search platforms or AI-driven discovery systems.
</li><li>Experience working in high-throughput, distributed systems
</li></ul>Why join us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you 
 
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals.
<ul><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
</li></ul>Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
<ul><li>Comprehensive Pension Plan
</li></ul><ul><li>Generous vacation entitlement and option for sabbatical leave
</li></ul><ul><li>Maternity, Paternity, Adoption and Family Care leave
</li></ul><ul><li>Flexible working hours
</li></ul><ul><li>Personal Choice budget
</li></ul><ul><li>Internal communities and networks
</li></ul><ul><li>Various employee discounts
</li></ul><ul><li>Recruitment introduction reward
</li></ul><ul><li>Employee Assistance Program (global) 
</li></ul> 
About the business &ndash;
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world&rsquo;s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
If performed in NLD Amsterdam (Radarweg), the base pay range is &euro;86,900 - &euro;144,600.This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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Senior Software Engineer I – Search and AI Platform

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