Data Engineer (Data Mesh & Lake Architecture) (mfx)

Tipico is looking for a Data Engineer to join our team. Grow with us introduce us to new ideas and develop products that maximise the thrill of sports for our customers. Every day youll work in a highly collaborative and agile environment with cross-functional team members to develop products and create technical solutions that push us forward.

Your playing field :

• You will play a pivotal role in deploying maintaining and governing real-time data pipelines and data lake architecture to ensure reliable high-quality data for analytics and operations
• You will oversee the implementation of an enterprise data mesh architecture enable decentralized ownership while maintaining consistency scalability and governance across the organization
• Our focus is on providing data ownership and governance across the companys different data products ensuring that stakeholders have access to trusted well-managed data
• Identify design and implement internal process improvements : automating manual processes optimizing data delivery and re-designing infrastructure for greater scalability
• Build and maintain both batch (ETL) and real-time data pipelines and architecture using SQL and AWS cloud technologies
• Collaborate with stakeholders including software architects engineers product managers and IT teams to achieve organisational goals
• Assemble large and complex data sets that meet functional and non-functional business requirements driving actionable insights into customer acquisition operational efficiency and other key business metrics

Qualifications :

Which skills should you bring to the pitch :

Additional Information :

This is how we score with you :

Think a career at Tipicos right for you

Apply now and join our winning team! If you have any questions or comments about this role our TA team is happy to help you! Feel free to reach out to us on our social media channels

We look forward to your application!

Remote Work : No

Employment Type : Full-time

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Experience : years

Vacancy : 1