Cloud Data Engineer

🔥 16 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

BoyleSports

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📣 Marketing

✈️ Travel

🎲 Gambling

Marketing • Travel • Gambling

BoyleSports is the largest and most successful independently-owned bookmaker on the island of Ireland. Founded in 1982 by John Boyle, the company has grown to over 375 shops in Ireland and the UK, offering a variety of betting services including mobile, online, and live betting. With headquarters in the Republic of Ireland, BoyleSports employs over 2,700 people across multiple countries including the UK, Gibraltar, Manila, and South Africa. The company is regulated for betting and gaming activities in Ireland, the UK, and Gibraltar, and is actively involved in sports sponsorships, including the Irish Grand National and various football clubs.

📋 Description

• Design, develop, and maintain scalable batch and real-time data pipelines. • Build ELT workflows to extract, transform, and load large datasets from multiple internal and external sources. • Develop and maintain cloud-based data infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift. • Implement orchestration and scheduling workflows using Apache Airflow or Amazon MWAA. • Develop data transformations and modelling processes using SQL and dbt. • Integrate streaming and large-scale processing solutions using technologies such as Apache Kafka and Apache Spark. • Ensure the reliability, performance, and scalability of production data pipelines and infrastructure. • Participate in a scheduled on-call rotation to monitor, troubleshoot, and resolve high-priority data pipeline issues, ensuring the reliability of the data platform during weekends and bank holidays. • Support the integration of data into enterprise data warehouses such as Snowflake or Redshift.

🎯 Requirements

• Minimum of 3 years’ professional experience in data engineering or a related technical role. • Hands-on experience working with cloud data platforms, particularly Amazon Web Services. • Strong experience working with large-scale production databases and SQL-based data warehouses such as Amazon Redshift, Snowflake, or Google BigQuery. • Proven experience developing ELT pipelines using dbt, Apache Airflow, and Python. • Familiarity with big data and streaming technologies such as Apache NiFi, Apache Kafka, and Apache Spark. • Experience with containerization and orchestration technologies including Docker and Kubernetes.

🏖️ Benefits

• N/A