Data Engineer- Sportsbet

Data Engineer

We are looking for a Data Engineer to join our Data team, working for Sportsbet Australia. The role is available in Cluj-Napoca, Romania.

The Data Engineer is a key role within Data Platforms, responsible for delivering innovative and sustainable data driven solutions to provide Sportsbet a competitive advantage in the market.

Key Responsibilities / Duties:

Project Delivery:

• Analyze and question business requirements.
• Actively contribute to the solution design.
• Accurately estimate effort and hold yourself and others accountable for delivery.
• Develop high quality, high performing code which meets the business need.
• Continuously improve our platforms / services with each release - new initiatives are an opportunity to deliver faster than last time.
• Optimize platforms / solutions to ensure we support our service levels and minimize spend.
• Identify gaps and implement best practices across operational processes, DevOps, deployments etc.
• Promote the production of reusable code and modules where appropriate with a view to maximizing effort and reducing development costs
• Develop and socialize patterns and standards for use across the organization.
• Automate processes wherever possible.
• Innovate and challenge the status quo by introducing new ideas and concepts to the team.

Platform Operations:

• Support what we build - taking ownership of production issues, working with stakeholders through to resolution.
• Identify, escalate and mitigate operational risks.
• Conduct regular performance tuning across our platforms to ensure optimal usage of resources.
• Perform regular maintenance and audit activities (patches, upgrades, user access reviews, DR tests etc.) as required to ensure stability.
• Identify and act on opportunities for automation.

Experience & Qualifications:

Essential

• Strong experience in developing software with Python.
• 3+ years of development experience in a cloud first, data centric organization.
• Comprehensive knowledge about APIs – ability to design RESTful services and integrate with other data providers.
• Involvement with CI/CD platforms and pipeline deployments patterns (Jenkins, Bamboo, Shell Scripting, Unit/Integration Testing)
• Experience with data streaming based architecture.
• Exposure to a variety of databases technologies (NoSQL, PostgreSQL, SQL) and ETL tools (Databricks, Airflow, NiFi, AWS Glue).
• Broad experience and familiarity with AWS technologies and managed services (S2, SNS, SQS, EventBridge, CloudWatch, Lambda, DynamoDB, Spectrum, Redshift, EMR).

Desirable:

• Fast paced agile based environment.
• Test-driven development techniques.
• A clear understanding of systems analysis, component based system design and modern software development principles.
• Experience with serverless based technologies.
• Exposure to Spark, Genie, Sqoop, Flume, Flink would be beneficial.
• Data modelling knowledge using Kimball and Data Vaults is also a plus
• Experience or exposure to SQL Server stack (SSIS, SSRS)
• Experience or exposure to Talend

What you can expect:

• 25 days of annual leave;

• Sharesave scheme;

• ”Flexible Benefits” of your choice;

• Private health insurance (includes dental insurance and health assessments);

• Free parking;

• Thousands of courses online through ‘Udemy';

Ways of working:

Flexible working is our way of working! We're a diverse workforce and therefore a 'one size fits all' approach isn't necessarily best. Whatever your personal needs may be, let's have a chat and see how we can accommodate them;

We thank all applicants for their interest, however only the suitable candidates will be contacted for an interview.

By submitting your application online, you agree that: your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record.If your application is unsuccessful, we will retain your details for a period no longer than two years, in order to consider you for prospective role within the company.