Engineering Lead - London Area, United Kingdom - Recoded Recruitment

Description

Recoded Recruitment is delighted to be partnering exclusively with Boon, an exciting and funded psychological AI start-up. For the next stage in Boon's growth, we are looking for a talented Engineering Lead to join the team.

What we are looking forIn a Nutshell:

We are looking for an Engineering Lead to join our 15-month-old, rapidly growing,

psychological AI startup to build B2B analytics and data products that tackle complex

questions about human behaviour, and in doing so, tackle some of the most challenging

issues of our time. You will be working closely and collaboratively with our Lead Data

Scientist, Lead Front-End Developer, and Lead Behavioural Scientist.

Why This Role Is Important to our Work:

Our focus is to use cutting-edge data science and behavioural science techniques to answer

complex questions about human behaviour. We work with non-profits, municipalities,

strategy consultancies, and businesses to solve business and societal challenges. At our core,

we're a company founded on the premise that data can be used for social good, and we take

on as many projects as possible aligned with that mission.

Once You Are Here, You Will:

• Design and implement the architecture of data solutions for the company using

multiple platforms

• Enable the design, creation, management, and business use of large data sets

• Effectively communicate amongst software developers, data scientists, and

behavioural scientists to determine how best to design the data warehouse for

productionising data models and facilitating a seamless user-experience in the

platform

• Develop and tune SQL to provide optimised solutions to the business

• Design and implement scalable ETL processes in the data platform to support the

rapidly growing and dynamic business demand for data, and use it to deliver the data

as service

What Do We Offer You:

We are unique. It's a place where you can solve complex, diverse challenges about human

behaviour, have a societal impact, and work with thoughtful, collaborative people who are

deeply passionate about their crafts. We were founded out of a passion for using data for

social good, and for merging the art of psychology with the science of data. We encourage

everyone who works with us to be themselves, to bring their most creative selves to the table,

and we promise to respect the work-life balance, autonomy, and collaboration you need.

Our founders have 25+ years of experience in computational behavioural science,

disinformation, behavioural strategy, and content development across 3 continents. Whether it be in the military, ad agencies or the Hollywood studios, we are profound believers

in the ability of a group of intelligent, collaborative people, to create something amazing.

For our Data Engineer, we offer:

• Flexible working with benefits to make flexible working truly work for you

• Sponsored training so you can continue to learn and grow

• Shaping purpose-driven insights and technological innovations, including climate-

tech hackathons

• Working with companies who excel in their craft- whether it be superhero movies,

luxury brands or sustainability organisations

• Crafting how companies think about human beings and how they measure behaviour

• To work with optimistic, open-minded people who value creativity, empathy, and a

good laugh

Relevant Experience & Mindset:

• 5+ years as a Data Engineer or ML/Dev ops

• Bachelors in computer science, mathematics, engineering or related field

• Proven experience constructing data pipelines for B2B products

• Fluency in Python and SQL; experience with Java, Scala, or NodeJS

• Experience with data modeling, warehousing and building ETL pipelines

• Experience in tuning performance in big data / distributed systems

• Experience with GCP

• (Desirable) Knowledge of professional software engineering & best practices for full

software development life cycle, including coding standards, software architectures,

code reviews, source control management, continuous deployments, testing, and

operational excellence

• (Desirable) Experience with non-relational databases / data stores (object storage,

document or key-value stores, graph databases, column-family databases)

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR, Snowflake,

and Data Mesh principles

• Team player

• Proactive and resilient

• A passion for social good

Our Mission Statement:

We are an equal opportunity employer. As an ethnically and cognitively diverse, female-

founded team, diversity, inclusivity, and social impact are part of our DNA. We were founded

with the commitment to using data and technology to drive positive societal change, and

that is reflected in the clients we work with. We do not work with oil and gas companies, nor

with political parties on political elections, and we evaluate every client project to ensure its outcome does not result in societal harm. We collaborate with non-profits and intend to

leverage our most cutting-edge technology on for-good use cases.