Data Engineer with Spark

Who We Are:

Launched in 2012, IMG Arena leveraged our rights expertise to pioneer the mainstream introduction of official data rights. We paved the way for a new revenue stream for our Rightsholder clients, whilst at the same time delivering greater value to the sports betting industry. We have gone on to expand our sports betting product suite with the addition of Event Centres and Official Virtual Sports. At IMG Arena the job is yours. We want you to be yourself. We are focused on building an inclusive and empowering environment that’s welcoming for everyone, where you are trusted and empowered to do what you’re good at. It’s your arena and your opportunity to shape it and your career. You’ll have the opportunity to pick up the latest technology, develop your own ideas and run with them. There’s loads of room for improvement and innovation. You get to prove and own the process from start to finish.

At IMG ARENA, we acquire the official rights to the data and video streams of a diverse range of federations, tournament formats and sports such as basketball, football, golf, MMA, table tennis, tennis, volleyball and many more to come. We collect real-time player and ball tracking data, scoring information, and other relevant data at sports venues. This data is then enhanced using mathematical models and delivered to customers worldwide with low latency speed. Additionally, we offer advanced visualizations for both web and mobile platforms, including 3D views.

About the Role

IMG ARENA is looking to maximise the value of the rich variety of sports data available through data enrichment, sports and excitement analytics and by building proprietary metrics. As a Data Engineer you will be part of an agile Data Engineering and Data Science team (DataOps) collaborating with people across the business, from product development teams to business stakeholders, with the responsibility of championing the highest standards of storage, quality, feature engineering, analysis and democratisation of both sports and product data. You will implement new products and features according to their acceptance criteria, as well as maintaining and improving the existing features/codebase.

What will you do?

Building data processing pipelines both streaming and batch

Feature engineering, combining data sets from internal and external sources

Exploring and innovating with sports data to discover new data products

Managing and maintaining standards for Data Analysis tools used across the organisation

Engaging with sports data providers about source data quality

Contributing to future design/architecture solutions that directly impact the business.

What have you done?

This role will evolve with the maturity of the data platform and the product offerings we provide. We are looking for mixture of the following experiences:

Functional programming (e.g. Spark, Scala, Phyton)

Large-scale data manipulation and processing (e.g. Spark, SQL, BigQuery, Pandas)

Streaming applications (e.g. Akka/ZIO, Spark Streaming, Kafka Streams)

Analytical mind with problem-solving skills

Approachable and a proficient communicator across both technical and non-technical organisational levels

Passion for sport is a bonus!

Nice to have:

Data analysis, reporting and visualization (e.g. Tableau, PowerBI, d3.js, Matplotlib)

Cloud data platform experience (AWS, GCP or Azure)

Experience with configuration management (e.g. Terraform, Ansible, Docker, Kubernetes).

Technologies we use:

Spark

Scala

Kubernetes

Apache Druid

Big Query

Airflow

Docker, Kubernetes, Terraform.

Company culture:

Our culture is based on ownership, innovation, collaboration, passion and a commitment to quality. We solve problems together, organize technology innovation days every quarter, provide access to various online courses, and support our developers with 10% of their time dedicated to learning, experimenting and exploring the latest technologies. This allows us to continuously push the boundaries of our product's excellence and value proposition.

What do we offer?

B2B contract/Contract of employment

Fully remote work

Extra-ordinary projects

In-house innovation days and dedicated time for learning

International work environment

Small efficient teams and fantastic teammates

Integration meetings.

Recruitment stages:

Interview with Recruiter (30")

Tech interview with Tech Team (90")

JR24979