Data Engineer

What you will be doing: 

We are looking for talented Data Engineers to help us build our internal Platform solutions as well as provide insights to our customers. By giving our customers actionable insights, we enable them to be agile with their compliance operations, iterating on how they tune their search and transaction monitoring parameters. You will join the Insights team, be involved in data engineering at scale, and design and build systems that create insights and analytics from large volumes of data.

As a Data Engineer, you will

• Join as a Data Engineer within the Platform Tribe. We are looking for someone with demonstrable experience working with Data Warehouses and who understands the design patterns and subtleties behind the different flavors of databases, computation engines, message queues, and workflow orchestrators used in the Data Engineering space. When building solutions, they should be able to bring real-world experience to implementation and problem-solving to help drive and implement a cohesive vision
• Join one of our empowered teams and help contribute to the right technical and design decisions which will be an important part of implementing a solution that enables us to continue to evolve and scale our systems. You will be accountable for delivering parts of the system, and to discuss ideas collaboratively, and agree solutions with your team
• Help others with their work through review and paired working. You will contribute to the overall success of the team, with a focus on the team’s successful delivery rather than solely at an individual level. We pride ourselves on having an open and collaborative environment within the teams and as well as working on your code
• Not only take part in this but also support others in the team to ensure the overall system conforms to a high quality. Within the team, we look for engineers to take responsibility for the quality of their code. Engineers are expected to write tests, add observability and take ownership of the systems to ensure overall quality

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
• We make substantial use of relational database technologies, notably Postgres, large scale noSQL technologies such as Cassandra, as well as Spark and cloud based object stores for big data processing
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
• We use modern observability solutions (such as Datadog or Grafana) and deploy our code using ArgoCD

About you:

As a Data Engineer, you will have

• Experience in a range of languages and paradigms
• Experience with high throughput data streaming architectures and technologies
• Experience working with Data warehousing technology and Databases used for analytical workflows
• Ownership of software from idea inception to production
• Experience working with tooling for testing, build and deployment pipelines 
• Understanding of observability - logging, monitoring, and alerting tooling
• Experience implementing and designing cloud-native solutions 
• Good communication and writing skills including experience producing technical documentation

Nice to haves

• Experience working in a multi-disciplinary team (Software Engineers, SREs, Product)
• Experience managing data models and versioning.
• Working with cloud based and containerised infrastructure.
• Experience with ETL / ELT pipelines
• Experience with Data visualisation tools or libraries

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget of to drive your performance and career development