is the global leader in social and digital consumer intelligence, working with the biggest brands and most admired agencies worldwide – 39 of the Fortune 100 are clients.
*This is Remote position which requires candidates to have the right to work and be based in England.
Why work here
As a backend engineer, you will work within a cross-skilled agile team in our Engineering department, contributing directly to our flagship product Consumer Research. You will contribute to improving existing and developing new features, working closely not only with other backend engineers across the entire department, but also with product & delivery managers, data scientists, designers, as well as QA & frontend engineers, to solve our users’ problems.
You will do so by designing, developing, improving and maintaining our real-time text and image data processing pipelines using infrastructure on the terabyte to petabyte level. You will work on implementing custom machine learning solutions developed by our data science team, and our APIs that support both the product as well as API users.
You will be embedded in a small team. You will work within our state-of-the-art technology stack, building Java applications using the Spring Framework and technologies such as Kafka, Solr, Redis, and PostgreSQL. You will ship code in a continuous integration environment using tools such as Git, Github Actions, Jenkins, Docker, and Kubernetes. You will collaborate with our global teams based around the world.
You should apply if
… you have an applicable prior industry experience of writing and shipping high quality Java code, preferably using the Spring Framework. You may be looking for an opportunity to provide technical leadership within a small team. Are willing to coach other developers and inspire them to write high quality code.
Beyond that, we recognize that you may need further development in some areas, and we encourage you to apply even if your profile does not meet all of the requirements for the role: we encourage and support growth and development for everyone. That said, prior experience in any of the following areas will be beneficial: Big data processing technologies such as Kafka and Solr Databases such as PostgreSQL and Redis Deployment infrastructure of scalable cloud applications such as Docker, Kubernetes, and Zookeeper Continuous integration technologies such as GitHub Actions and Jenkins
Our Benefits Small, autonomous teams of skilled people, in a friendly and relaxed environment Work with people all over the world 37.5 hour work week - or less! 10% of your time to work on anything you like, reading groups, tech talks, generous training and conference budgets, and any technical books you need Flexible & remote working Bike and tech schemes An extensive people development program, including LinkedIn Learning for every employee and in-house courses such as our Brandwatch Leadership Development program Community-focused groups, such as our Diversity & Inclusion and Green committees
- Big Data
- Data Science