Data Engineer

• Design, architect, implement, and support key datasets and data warehouses for both static and real time data.

• Engineer analytics dashboards and tooling for data retrieval.

• Perform analysis to assess and enhance quality and meaning of data.

• Leverage automated tools to extract data from primary and secondary sources.

• Working with other stakeholders including management and engineering to devise and develop insight and reporting use cases for our customers.

• Help identify process improvements, system modifications and devise data governance strategies.

What you’ll have

• You are a self starter, with a passion for highly scalable data analytics systems.

• Experienced building AWS Cloud based data systems using:

• AWS Athena/PrestoDB

• Lambda, S3, Kinesis, Glue

• SQL

• NodeJS

• CubeJS

• Relational Database Systems

• Working with other developers, it is useful to have experience in technologies including:

• ReactJS

• Data visualization and analytics software such as Tableau

• Git/version control

• Other big data technologies such as hive, hadoop, spark

• Hands on experience building data warehousing including ETL pipelines.

• Experience processing data from multiple heterogeneous sources.

• Ability to design complex data architectures for performant analytics.

• Competitive salary.

• Share option scheme.

• Flexible working environment (hours, remote work).

• Healthy snacks, cake on Wednesdays and Friday Drinks trolly!

• Work with a fun, diverse, sociable team.

• Join a company backed by highly respected industry leaders.

• High-growth business with fast career progression.