Middle/Senior Data Engineer

• Start: 1st July
• Duration: by the end of the year
• Location: ▪ E.U citizens with E.U Passeport (Austria, Belgium, Bulgaria, Croatia, Republic of Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain and Sweden) ▪ also Great Britain, England, North Ireland, Wales, Scotland, Monaco,Liechtenstein, Andorra, ▪ also relocated from Ukraine./CIS and others countries already relocated in European Countries.
• Note: working 9 am-6 pm English time, working on Mac. the client will provide one Mac. Must to have o Must to have relevant experience as Data Engineer at least 5 years o Must to have relevant senior experience with Snowflake. o Must to have relevant senior experience with SQL for complex data manipulation, transformation, and analysis. o Must to have relevant senior experience with dbt core or dbt Cloud o Must to have relevant senior experience with Python for scripting and custom data ingestion. o Must to have relevant senior experience with data modelling, ELT development, and data warehousing techniques. o Must to have relevant senior experience with Git and GitHub Pull Requests. o Must to have relevant senior experience with supporting QA and User AcceptanceTesting processes. Good to have o Good to have experience with GitHub Actions o Good to have experience with Fivetran, o Good to have experience with Terraform. o Good to have experience with AWS cloud services, particularly (e.g., AWS Lambda, S3 and ECS). o Good to have experience with with Power BI. o Good to have experience with with Microsoft SQL Server and SSIS. o Good to have experience with with Azure Data Factory and Logic Apps. o Good to have experience with Understanding of the entertainment or ticketing industry is a plus. o Good to have experience with Experience data protection laws such as GDPR, CCPA and SOX.

About the role We have been on a journey to modernise our data technology stack and have moved to a modern data

stack that consists of Snowflake, dbt Cloud, Fivetran, Power BI and AWS. We still have many legacy

processes based on SQL Server and Azure to migrate to our new stack, all while responding to new

requests from our global business. You will report to the Lead Data Engineer and will convert raw data

into usable information for analytics and business decision-making across business functions,

including Technology, Product, CRM, Loyalty, Venue and Digital Marketing. You will be involved

in all aspects of the delivery including design, implementation, testing, and continuous improvement.

Key Responsibilities

• As a Data Engineer you will demonstrate your ability to: Design, implement, test, deploy, and maintain highly scalable data management systems and solutions, ensuring proper compliance with client’s architectural standards.
• Design and build stable, reliable and effective data processing pipelines across the Data Lake and Data Warehouse in Snowflake.
• Collaborate with Enterprise Data Architect and Business Analysts to integrate systems and automate data collection processes.
• Develop and update technical documentation, ensuring it is clear and understandable by the wider Data Team.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders.
• Recommend ways to improve data reliability, efficiency, and quality.