Data Engineer – Real Time Data

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 directlyimpact the business

• Exploring and innovating with sports data to discover new data products.

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.

Nice to have

• 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).

Technologies we use:

- Spark

- Scala

- BigQuery

- Apache Druid

- Kubernetes

- Airflow

- Docker, Terraform.

Our offer:

- B2B contract (optionaly contract of employment)

- Fully remote work

- English lessons

- Referral Scheme

- Extra-ordinary projects

- International work environment

- Integration meeting.