About us 🚀
We are disrupting the way businesses communicate with prospects and customers using direct mail and corporate gifting.
We’re enabling companies to deliver moments that matter at scale, throughout the entire customer lifecycle. With Reachdesk, businesses can build deeper connections with their customers, prospects and employees, through gifting and direct mail, in an easy and delightful way 😍
Our world-class integrations power a clear and quantifiable ROI of gifting to boost sales and drive customer advocacy. With Reachdesk, direct mail is no longer a guessing game.
Reachdesk has just raised $43m in Series B funding and we've been recognised as one of the Top 5 Fastest Growing Products for 2021. We're assembling a world-class global team, our headcount has grown to over 200 over the course of the last year across London, Lisbon and NY offices, with stratospheric growth and exciting product releases en route! 🚀
Role description 📖
We are looking for a Data Engineer to join our Data Science team to set up our data pipelines. You will be responsible for defining and creating the data structures, tools and platforms within the company. Working with the data science and software engineering teams you will oversee the deployment of systems into production and develop suitable monitoring to assure reliability, availability and speed.
You will work in a cross-functional team and with a wide variety of stakeholders in a remote, partially asynchronous environment to create a system that meets current and future needs. Autonomy will be expected but we are also looking for someone who seeks out collaborative opportunities to develop products that meet the needs of all users.
About you 👍
We do not believe that people live in boxes but we do feel that you should have:
- 2+ years of experience as a Data Engineer or in a similar role;
- Degree in a quantitative field (computer science, mathematics, physics, engineering or similar);
- Experienced with the full lifecycle of data pipelines;
- Knowledgeable with data engineering tools and frameworks such as Hadoop, Spark, ELK, as well as SQL and NoSQL databases;
- Understanding of messaging systems, such as Kafka or RabbitMQ;
- Proven knowledge of Python, Java, or Scala for data processing;
- Fluency in English.
It would also be nice if you could show that you have 😃:
- Exposure to cloud environments such as AWS, Google Cloud or Azure;
- Startup mindset - you know how to generate something from scratch;
- Cross functional communicator - you know how to tell the story in an audience-oriented way to product, engineering, data science, BI or anyone else who asks;
- Agile approach - you can break a task down into actionable components;
- Visualisation tools - you can use tools like Sisense, Tableau or Looker to show the data to a wider audience;
- A desire for personal growth - you strive to get better each day and inspire your colleagues to get stronger. This is critical for us. We love hearing stories about great mentors, that interesting article you just read, or the time you pushed yourself outside your comfort zone.
What we offer 💰
- A friendly atmosphere while working with a dynamic team of professionals;
- Great company culture;
- Competitive salary;
- An opportunity to grow quickly with a company that is breaking new grounds;
- Unlimited PTO;
- Flexible hours.
Our interview process consists of 🖋️
Our hiring process is straightforward and designed with simplicity in mind to find the best match for our team.
- We start by assessing your background with a screening call.
- You will then meet with the manager of the team you will be working in.
- The final step is a technical challenge which you will work on offline then present to senior members of the team.