Data Engineer at Kin + Carta

Job Description:

The role in a nutshell:

• Actively participate in iterative development processes focused on delivering high value outputs to clients; contributing to definition of minimal viable product, helping to size work, prioritising areas of focus and owning task completion.
• Designing, building and testing data products thats solve real problems for real users
• Designing, building and testing cloud hosted data pipelines, platforms & infrastructure
• Designing, building and testing data migrations from legacy solutions into modern cloud platforms
• Helping clients implement ways to improve data reliability, efficiency, and quality
• Helping data scientists and machine learning engineers to scale and publish their models into production
• Working with designers and business subject matter experts to help visualise insights
• Performing ad-hoc analyses of data to help organisations understand its meaning, limitations and quality
• Interfacing with clients and providing technical recommendations for building data products, platforms and pipelines
• Helping to evaluate emerging tools, applications, technologies and practices
• Working with experienced data engineers, data scientists, and data architects to develop and grow as an engineer

The type of person we’d love to meet:

We want all new hires to succeed in their roles at Kin + Carta. That's why we've outlined the types of experiences that we find it desirable for you to have, we recognise that Data Engineering is a growing craft and every data engineer has a different story to tell, if your story involves experience in any of the following we'd be keen to hear from you:

• Experience working with data pipeline and workflow management tools
• Experience working with cloud data technologies such as Google Cloud Platform or Microsoft Azure
• Experience working with both relational SQL and NoSQL databases
• Experience in working with message queuing, stream processing, and highly scalable big data stores
• Experience in applying TDD and CI/CD approaches when building data solutions
• We are also keen to hire people who may have experience in some of the following areas, this isn't essential but we do get excited when people have a little bit extra to bring to the table
• Implementation of Single Customer View/Customer Data Platform/Master Data Management solutions that manage customer identity resolution.
• Data visualisation and reporting tools like Looker, Tableau or PowerBI
• Big data tools like Google BigQuery, Hadoop, Spark, Kafka, or Elasticsearch, stream-processing systems such as Storm and Spark-Streaming Python, Java and/or .NET, knowledge with Kotlin and Scala
• Microservice design patterns including Serverless and BFF RESTful APIs
• Database maintenance, monitoring, and performance-tuning
• Machine Learning
• Participation in Agile / Scrum / Kanban practices

Finally, we’ll put all our data engineers through the following certifications, but if you already have them that would be great!

Certifications in:

• Google (Professional Data Engineer)
• Microsoft (Azure Data Engineer Associate, Azure AI Engineer Associate)

Company Benefits

• Apple kit
• Private pension
• Life insurance/critical illness cover
• Employee assistance loan
• Cycle to work scheme
• Eye care
• Season ticket loan
• Learning grant - £1000 per year
• Enhanced parental leave
• Health insurance
• Flexi-working
• Dog friendly offices

Interview Process

• Talent Partner screening
• First background interview
• Final interview with technical exercise