Software Developer - Data Analytics (Trading)
Job Title: Software Engineer - Data Analytics (Trading)
Job Type: Permanent
Location: Liverpool Street
Salary: GBP60,000-GBP80,000 + Bonus + Benefits
Skills: C# .NET, Kotlin, Azure, Kafka, Microservices, Containers, Kubernetes
I am working with a reputable and growing Energy Trading Software company based in London. They have a variety of Software development teams in the business who collaborate closely with each other - from the Trading platform team to the Desktop team, to the web team, to the Data Analytics team.
Their Data Analytics team are looking for an experienced Backend developer with a passion for big data to join the team on a permanent basis. The ideal candidate would have experience with Message Queues such as Kafka or Rabbit MQ.
The team are very talented and you would be learning from some of the best devs in the UK. They have a modern. quirky office in Liverpool street, London and a great culture between all levels of staff. This role would be remote until atleast the end of September, then it would be 50% remote.
Whilst this is a Senior role, their other teams are also looking for Mid-level .NET Back End developers. So if this role is a bit too high end for you, we may have another opportunity for you
Event streaming using Kafka
Day to day, you would be doing the following;
Discuss and design the architecture in team planning
Collaborate with other teams from other parts of the business at sprint snapshots and engage in technical discussions in brown bag sessions
Pair with your teammates and exchanging ideas
Writing high-quality, well-tested and maintainable code following best practices
- Consider the scalability of solutions and meeting latency requirements
27 days' holiday + BH
Meetups from CTOs of top companies such as Google
Pension 7% company 2% self contribution
GBP65 p/m contribution to all things health related
Enrollment to Share scheme
Impact Charity days
If you are interested in working for a great company with an unbelievable culture, working on interesting Real Time systems in the Trading sector, this might be the perfect role for you!
Please apply by sending your CV to (see below)