Senior / Expert Frontend Engineer for Analytics [rekrutacja online]
Miejsce pracy: Warszawa
Numer referencyjny: MB/SST/RDTV/DA/D/KZ/8265
We are looking for you if:
  • Advanced knowledge of JavaScript, CSS, and HTML
  • Experience building rich JavaScript / TypeScript web applications, using leading frameworks and libraries, like React, Angular, Polymer and Vue.
  • Familiarity with browser rendering behaviour, security and performance
  • Solid understanding of UI design patterns and usability.
  • Familiarity and experience with the W3C Accessibility Guidelines
  • Experience with web asset optimization and content delivery networks.
  • Experience using web build tools, such as Webpack, Parcel or Babel
  • Understanding and experience with unit, integration and end-to-end testing
  • Knowledge of DevOps practices including Git, CI/CD, monitoring.
Youll get extra points for
  • Basic knowledge of machine Learning and/or data engineering
  • Experience with data visualization and analytics dashboard development
Information about the squad

Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-channel distribution strategy and an international network. If you want to work at a place where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to delivering stable and secure services to end-users, and where we have a no-nonsense getting-things done mentality, please read on! Job Description As a Frontend Engineer, you will be joining ING’s Advanced Analytics global organization and will partner with Machine Learning Engineers and Backend Engineers to design and implement leading-edge analytical products. You will help develop data-driven products and own innovative web applications using advanced JavaScript, CSS, and HTML, with a desire to achieve exceptional design fidelity, usability, accessibility, and performance across both desktop and mobile browsers. You will be responsible for the solid technical execution of web projects through hands-on development, quality assurance, and prototyping. In this role, you will be developing the frontend of tools having data science or machine learning components, visualizing machine learning models’ data and metrics, and then putting research into production. You will be responsible for: • Analytics software frontend development • Working closely with machine learning and backend engineers to take PoCs being developed by data scientists and create a compliant product ready to be deployed into a production environment. • Technically responsible with your scrum team for the frontend solution, from product requirements to development, testing, and deployment. • Using the newest web development framework and technologies. Embrace emerging standards while promoting best practices in order to push the limits of what a browser can do. • Develop application code and unit tests in the JS and Rest Web Services • Follow coding and security standards to build appropriate deployment scripts. • Make design and technical decisions for the JS projects. • Stay on top of new trends in web development technologies. About you • Always thinking a step ahead and never satisfied with the status quo • Enthusiasm for helping others to be successful and a talent for taking it on and making it happen • You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback • You embrace challenges in a fast-changing and complex environment • You are a naturally collaborative person who listens and invests in others to achieve common goals • You have a Pro-active and can-do attitude (self-steering) • You are happy to work together with front-end engineers and are not scared to help them out when needed. • You take pride in your code and take responsibility for keeping it running in production. What department? ING Analytics is an organisation responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organizations within the banking sector and beyond. The organisation consists of a several Global Analytics Centres of Excellence around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime & RegTech, Customer Intelligence, etc.) as well as strong coordination areas around people capabilities, technology, data, tooling, and external partnerships. The Data, Tools & Technology team is one of the five core teams within ING Analytics Unit. It is responsible for driving overall strategy and roadmap for analytics platforms, technology and tooling, productionization of analytics models and data roadmap for all the workstreams, change management activities and their interdependencies. What do we offer? Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. In addition, we offer: • Fun! • A competitive salary • Working with highly skilled people • Working in an area which is of great importance to the strategy of ING • A relaxed and fun team • An International atmosphere • A full time position (40 hours per week) • Great training and education opportunities




  • contract of employment
    type of contract
  • Flexible working hours 8-18 (8 hours per day)
    work hours
  • Zajęcza 4, Warsaw
    this is the location of our office
Working time per task
100%- Working with the squad on industry leading ML solutions
Your development
  • professional development
  • certificates and knowledge development
  • training budget
  • access to the newest technologies
  • international projects
  • free English courses
Your health, well-being and family
  • provate medical care
  • 50% funded Multisport Card
  • bicycle parking
  • chillout rooms
  • integration events and Stay Fit program
Working conditiions
  • stability of employement
  • fully equipped workstations
  • kitchen
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