9 jobs found

Are you ready to step into the fast-paced world of fintech? We're Pollinate. We combine the agility and flexibility of a high growth company with the global ambitions and backing of an established brand. We at Pollinate think banks have the potential to do more, to be more, and to reclaim the central role in the lives of their business customers. So we are working side by side with them to deliver the technology to help merchants grow and create unforgettable payment experiences to customers. With big global banking clients already under our belt, from NatWest to National Australia Bank, we are growing rapidly, and we need talented people like you to join us on our journey. As part of Pollinate, you'll be working with experts across payments, technology, customer experience, and financial services, supported by a world-class network of partners. Workplace wellbeing and inclusivity is very important to us-this year, in addition to internal support, we rolled out the mental health platform, Unmind, company-wide to support each employee's individual wellbeing journey. Our platform has picked up multiple industry awards, including 'Banking Innovation of the Year' at the 2020 Future Digital Awards, and the 'Innovation Frontier' award at the Celent Model Bank 2020 Awards through our work with NatWest's Payit. We're also currently shortlisted in the Women in Tech Employer Awards 2020. Join us to be a key part of a team that's changing the future of payments, with the freedom to make your mark. Together, we'll push the boundaries of what's possible with payment enabled merchant services for SMEs around the world. Purpose of the role As a Senior Full Stack Developer you will be responsible for implementing the technical vision as defined and managing the technical deliverables. You will own one or more components of our internal and external microservices which forms the basis of our merchant onboarding portal, SaaS services and core acquiring platform. In addition, you will be working side-by-side with other engineers, leads and architects on platform architecture, integration (internal/external), performance and security to create a powerful platform to enable us reinvent merchant acquiring for banks. You will work with a talented and experienced team of engineers, architects, product managers designers as well as having the opportunity to contribute to product design, architecture, system reliability and scalability of our services. You will be responsible for ensuring the teams uses engineering best practices such as CI/CD, TDD/BDD, automated testing and influencing the adoption of best tools for completing day to day development tasks. Responsibilities Implementing industry best practices and coding standards of the project/platform Accountable for the technical development and quality assurance of one or more products across the teams Mentoring developers and encouraging the adoption of best practises within the team Support Business Analysts, Product Managers and Delivery Managers in producing roadmaps and estimates. Develop high-quality software design and architecture using best practices, common standard and frameworks Develop microservices, applications and tools by producing clean, testable and efficient code Documenting application low level technical design, including software diagrams, pseudo code comments and operating instructions Create proof of concepts if required, to validate proposed solutions and seek feedback from stakeholders Working with business users by evaluating the problem definition, requirements, solution development and proposed solutions technical analysis of business requirements, low level design documentation Identify performance bottlenecks and come up with novel ways to solve them Proactively benchmark application code to mitigate performance and scalability issues Work with the Quality Assurance team on issue reporting, resolution, and change control Assisting the DevOps team with any environment issues during application deployment across Development, QA, Pre-production, and Production environments Collaborating with test and application support teams in troubleshooting problems that may arise from applications or integration of various components Collaborate with internal teams and vendors to fix and improve developed software and application What we are looking for Java and associated concepts including OO and service design principles (JSON and/or RESTful). Strong knowledge and experience of Java 8 and above, as well as Spring Hibernate/JPA etc. Good understanding and experience of test-driven development, continuous integration and continuous delivery practices Strong experience and knowledge of relational databases and SQL tuning Experience working with Agile methodologies as part of the software development life cycle. Experience of working with containers and message brokers like Kafka or any other message brokers Experience of container services like Kubernetes, Docker etc Experience of working of Cloud systems preferably Azure Microservice design and development Rest, JSON/XML Multi-threading in high volume, high availability systems. Experience of mobile app development using native or hybrid frameworks Experience using JavaScript frameworks: Angular or React Knowledge of HTML5, CSS3, OO JavaScript, Node.js etc. Who we are looking for Ideally someone who has worked for a Fintech start-up and has experience with products focused on consumer but also involved in developing highly scalable and resilient microservice applications Starter-finisher attitude to manage work Strong verbal and written English communication skills High energy and drive that suits a start-up environment Comfortable working outside of rigid structures and frameworks Effective working in ambiguous environments You are a team player and can work cross-team - for instance with business-minded staff, designers, product owners, and everything in between What we stand for We believe we are better together when we listen, engage and support each other, we want you to bring your expertise and experience to work every day We are passionate about what we are doing and want you to share this with us, enjoy your time with us, stay calm under pressure and bring positive energy to the team We are all on a journey together, we want your ambition and flexible mind set to embrace the twists and turns as we grow as a business At the moment, and for the foreseeable future, this role will be 100% home based. We are in the process of developing a Future of Work at Pollinate strategy which will include hybrid working. Pollinate offers great benefits including up to 20% bonus, Pension, Life Assurance, Health Cash Plan, CSOP as well as flexible working hours and a weekly online Yoga class. This Job Description covers the main areas of your responsibilities. It is not an exhaustive list. We only accept candidates who have the right to work in the UK. - Pollinate offers excellent benefits, including up to 20% bonus Pension Life Assurance Health Cash Plan CSOP Flexible working hours Online Yoga class 2 stagesJava, Spring, Hibernate, SQL, AzureJava, J2EE, JavaScript, SQL, Kafka, Kubernetes, Docker, Azure

Edinburgh, Midlothian Lloyds Banking Group Edinburgh, Midlothian Lloyds Banking Group End Date 24 February 2019 Salary Range £48,636 - £54,040 We support agile working - click here for more information on agile working options. Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary A key role in our Group CIO Engineering Data Science team driving data science model development and engineering capabilities. Job Description Lloyds Banking Group is the UK's biggest Retail, Digital and Mobile bank with over 30 million active online customers across our three main brands. Our products touch millions of customers so we have a big responsibility to help Britain Prosper. We've placed digital banking at the heart of our strategy to become the best bank for customers, backed with an investment of £3bn in Digital Transformation into areas such as Data Science, AI and Robotics. So why join our CIO Engineering Team? You'd help us play a pivotal role in engineering new capabilities for the Group and build the bank of the future. You'd be working with a group of AI, RPA and Automation trailblazers at the hub of a ground-breaking agenda. You'll use data science techniques in a huge way to rapidly transform everything from how we deliver key engineering projects to optimising new Cloud platforms and various strategic transformations. You'll work on well-invested programmes at scale with over 70,000 users, thousands of apps, platforms and devices and 30m+ customers relying on your work. Interested? Here are some real examples of the work you could be doing: You'll be harvesting and wrangling data from various sources (Cloud data stores, NoSQL databases etc) to engineer automated solutions for projects such as optimisation of applications or the load placed between various Cloud platforms. You'll develop new data models, algorithms and visualisations to help our engineers fix our technology "Stack" and predict the downstream impacts and effects of system outages. And you'll help overhaul our massive patch management operations using streamed and batch process data to deliver better systems and devices. Together we'll make it possible.. So who are we looking for? We're keen to attract established Data Engineers/Data Scientists with skills spanning across the following: A strong knowledge of Python, including libraries (Pandas, Numpy, Matplotlib etc.). Skills in model-development and an understanding of different data sources and structures including NoSQL databases (Cassandra, Splunk, Log Analytics). A good understanding of machine learning principles (with additional skills in ML technologies like Scikit-Learn and understanding of common ML algorithms being very helpful). Any wider knowledge of software development practices or Cloud data engineering would also be very useful. And how could we challenge you? You'll get exposure to a host of wider technologies and careers by broadening your data science and engineering horizons. We'll give you the stretch you desire in terms of systems data science with opportunities to widen your skills in engineering data-led solutions to complex technology stacks. What we'd give you in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll also give you a broad remuneration package which includes: A Car/allowance A Performance Share bonus of c15% A generous pension contribution A flex cash pot you can adjust to suit your lifestyle. Private health cover 30 days holiday plus bank holidays So if your expertise lies with engineering data, Python and NoSQL databases and joining a growing, state of the art team within a leading FinTech appeals then get in touch, we'd like to hear from you... At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Edinburgh, Midlothian Lloyds Banking Group End Date 24 February 2019 Salary Range £48,636 - £54,040 We support agile working - click here for more information on agile working options. Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary A key role in our Group CIO Engineering Data Science team driving data science model development and engineering capabilities. Job Description Lloyds Banking Group is the UK's biggest Retail, Digital and Mobile bank with over 30 million active online customers across our three main brands. Our products touch millions of customers so we have a big responsibility to help Britain Prosper. We've placed digital banking at the heart of our strategy to become the best bank for customers, backed with an investment of £3bn in Digital Transformation into areas such as Data Science, AI and Robotics. So why join our CIO Engineering Team? You'd help us play a pivotal role in engineering new capabilities for the Group and build the bank of the future. You'd be working with a group of AI, RPA and Automation trailblazers at the hub of a ground-breaking agenda. You'll use data science techniques in a huge way to rapidly transform everything from how we deliver key engineering projects to optimising new Cloud platforms and various strategic transformations. You'll work on well-invested programmes at scale with over 70,000 users, thousands of apps, platforms and devices and 30m+ customers relying on your work. Interested? Here are some real examples of the work you could be doing: You'll be harvesting and wrangling data from various sources (Cloud data stores, NoSQL databases etc) to engineer automated solutions for projects such as optimisation of applications or the load placed between various Cloud platforms. You'll develop new data models, algorithms and visualisations to help our engineers fix our technology "Stack" and predict the downstream impacts and effects of system outages. And you'll help overhaul our massive patch management operations using streamed and batch process data to deliver better systems and devices. Together we'll make it possible.. So who are we looking for? We're keen to attract established Data Engineers/Data Scientists with skills spanning across the following: A strong knowledge of Python, including libraries (Pandas, Numpy, Matplotlib etc.). Skills in model-development and an understanding of different data sources and structures including NoSQL databases (Cassandra, Splunk, Log Analytics). A good understanding of machine learning principles (with additional skills in ML technologies like Scikit-Learn and understanding of common ML algorithms being very helpful). Any wider knowledge of software development practices or Cloud data engineering would also be very useful. And how could we challenge you? You'll get exposure to a host of wider technologies and careers by broadening your data science and engineering horizons. We'll give you the stretch you desire in terms of systems data science with opportunities to widen your skills in engineering data-led solutions to complex technology stacks. What we'd give you in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll also give you a broad remuneration package which includes: A Car/allowance A Performance Share bonus of c15% A generous pension contribution A flex cash pot you can adjust to suit your lifestyle. Private health cover 30 days holiday plus bank holidays So if your expertise lies with engineering data, Python and NoSQL databases and joining a growing, state of the art team within a leading FinTech appeals then get in touch, we'd like to hear from you... At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.