QA & Data Quality Engineer

Description

More about evoke

We’re a business that embraces change and progress. The power behind big name brands William Hill, 888, and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction, and ambition for the business, there couldn’t be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class betting and gaming experiences. That’s the future. That’s evoke.

At evoke, you’ll benefit from flexibility and a culture built on trust. We’ll give you the space to be yourself and the tools you need to protect our customers while they play. We’ll invest in your future to help you develop your unique strengths and build the right career for you.

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At evoke, we prioritize diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides growth opportunities.

Sound good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage.

Apply today to kickstart your application with the evoke Family!

At evoke, you’ll benefit from flexibility and a culture built on trust. We’ll give you the space to be yourself and the tools you need to protect our customers while they play. We’ll invest in your future to help you develop your unique strengths and build a career that’s right for you.

As a Data-oriented company, we - the Data Group, are at the center of every large project and serve as a critical component in most development processes.

Nowadays we are in the middle of a big technological transformation from Legacy on-Prem systems to a modern Cloud-based solution running with modern Technologies like Airflow, DBT, and Snowflake.

About the role and responsibilities:

• Run testing and approve all ETL processes & DB scripts.
• Building testing scripts/simulations according to design documents.
• Building feature files for automation tests on the new Data platform.
• Troubleshooting and identifying the root cause of identified issues. 
• Be part of the Data engineers team working in Agile methodology.
• Working with various stakeholders and applications across the company.

Requirements

• At least 2 years of experience with large-scale DWH environments (Azure, Snowflake, BigQuery, Redshift...).
• 2 years experience in writing SQL queries & scripts.
• 2 years experience in ETL/ELT testing – data quality tests, testing scripts, STD documents, reading and analyzing product & dev documents.
• Fluent English skills

 Advantage if you have:

• Experience working with SSIS.
• Experience in Python.
• Bachelor’s degree in computer science / IS Engineering / Related field