Requirements

Expected technologies

Python

Scala

SQL

Spark

Pandas

BigQuery

Optional technologies

Kubernetes

Docker

Apache Druid

Spark Streaming

Kafka Streams

Superset

Tableau

Our requirements

• 2 years of experience in data engineering
• Programming (e.g. Python, Scala)
• Large-scale data manipulation and processing (e.g. SQL, Spark, Pandas, BigQuery)
• Analytical mind with problem-solving skills
• Approachable and a proficient communicator across both technical and non-technical organisational levels.

Optional

• Experience with Kubernetes and Docker
• Real-time analytics databases (e.g. Apache Druid)
• Streaming applications (e.g. Spark Streaming, Kafka Streams)
• Data analysis, reporting and visualisation (e.g. Superset, Tableau).

Your responsibilities

• Building data processing pipelines both streaming and batch
• Feature engineering, combining data sets from internal and external sources
• Managing and maintaining standards for Data Analysis tools used across the organisation
• Contributing to future design/architecture solutions that directly
• impact the business
• Exploring and innovating with sports data to discover new data products.