Data Engineer II

Liveperson is an expert based culture, built on the drive and passion of smart people! Our business is growing and we are looking for people like you!

LivePerson is the global leader in conversational commerce solutions and we aim to make life easier by transforming how people communicate with brands. Our 18,000 customers, including leading brands like Citibank, HSBC, Orange, Virgin Atlantic, RBS and Liberty Global, use our conversational commerce solutions to orchestrate humans and AI, at scale, and create a convenient, deeply personal relationship — a conversational relationship — with their millions of consumers.

Over the next three years, our goal is to transform the 268 billion analogue phone calls between a brand and it's consumers to digital on the LiveEngage platform. By doing this, we enable consumers to get back time and experience a more connected relationship with the brand in which sales, service, marketing, branches, stores, and contact centre's become a unified experience.

We are looking for a Data Engineer II to expand our Analytics Product Offerings, and play a key role in ensuring smooth daily operations for underlying infrastructure. This is a critical area of functionality that enables the world's largest brands to run contact center operations at scale, while focusing on quality. The role will source data from multiple locations, specifically LivePerson's Data APIs and Databases, and will transform data into scalable feeds that integrate into products and other downstream systems. The result is that brands will have the data and insights they need to drive messaging and automation at scale.

In this role you will:

• Develop a deep understanding of LivePerson's data API architecture and data mappings.
• Leverage Python to transform data from LivePerson's APIs into fit-for-purpose operations feeds.
• Contribute to and extend LivePerson's primary data delivery tool, Data Transporter
• Work cross-functionally across engineering, product, and business teams to understand how business requirements can best be met.
• Build the data models that support LP's analytics tools in delivering recommendations to brands
• Assist our engineers in designing a data architecture that supports speed and innovation in development.
• Work with innovative technologies incorporating AI, machine learning and conversational interfaces.

Your qualifications are:

• Degree in Computer Science, Statistics, or another quantitative field or 5+ years of relevant experience
• Proficiency with one or more programming languages (3+ years with Python highly preferred)
• Understanding of OOP and Functional Programming paradigms
• Experience with Python packages for analytics, data science, and machine learning (e.g. Pandas)
• 3+ years of experience in a Backend Engineer role working with Relational Databases
• Advanced Proficiency with SQL
• Experience working with containerized applications is beneficial (Docker, Kubernetes)
• Experience in public cloud (especially GCP) is beneficial
• Experience with Git
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Demonstrated ability to work closely with teammates in a highly collaborative environment and simultaneously be a self-starter with strong individual contributions.

We care about you.

LivePerson works hard to create a positive employee experience. Your life outside of the office is important to us. We support our teams with great benefits, like pension plans, paid parental leave, and competitive paid time-off that enables your family to take the time they need to recharge.

We want you to feel part of our LivePerson family.

Frequent team events, daily breakfast and happy hours on occasion (and there are lots of those) will help you settle quickly into your new workplace.. And - our holiday parties are a blast!

You can read more about LivePerson and Our Principles here - https://www.liveperson.com/company/#guiding-principals

Our company believes equal opportunities for both genders is something that has been overlooked for too long.

To shake up the industry, LivePerson CEO Robert Locascio recently launched the Equal AI initiative - established to focus efforts on eradicating gender bias in AI engineering. We are also keen on getting women enthusiastic about software engineering by sponsoring WomenHack and Female's Favor{IT}e Conference events globally.

LivePerson provides equal employment opportunity without regard to an applicant's race, color, age, national origin, religion, sex, gender identity or expression, sexual orientation, veteran status, disability, pregnancy, genetic information, or any other status protected under applicable law.