Data Engineer building scalable data platforms using Databricks and Azure for Reconomy. Collaborating across teams to deliver high - quality data solutions.
About the role
- Senior Data Engineer developing and supporting data integration, ETL, and data-driven services at Betfair Romania. Working in an agile environment with opportunities for growth and collaboration.
Responsibilities
- Be an effective team player of a Scrum Team - understanding and contributing to the agile delivery process and taking ownership of your team’s processes.
- Create and promote the use of behavior/test-driven development at multiple levels within the software by pairing with production code developers and product owners.
- To deliver excellent production quality code and encourage and mentor other developers to do so.
- To be proactive in identifying holistic approaches across diverse programs, projects and technologies.
- To promote the production of reusable code and modules where appropriate with a view to maximizing effort and reducing development costs applying principles of Agile delivery.
- To be proactive in the identification of opportunities to improve and rationalize applications and processes across the whole Data team, working in close collaboration with other Data team members and subject matter experts.
- To liaise closely with other Data team members and subject experts to ensure that accurate and effective support documentation is maintained to reflect code development and changes.
- To ensure risks and issues are identified in a timely manner and effectively communicated with proposed resolution and mitigation strategies to the Data Engineering Manager.
- To be proactive and drive the building of effective relationships across Data and key areas of the business stakeholder community.
- Write and maintain functional and technical specifications.
- Monitor, optimize and trouble shoot database, microservice and stream and ML service performance.
- Analyze code for problem resolution thorough, demonstrable unit testing.
Requirements
- Excellent SQL, preferably on both RDBMS and an MPP platform like Redshift or another big data platform like Hadoop
- Dimensional data modelling
- Demonstrable experience with high-volume data loads (terra bytes and above)
- Knowledge of ETL from highly transactional (1000s records/second) OLTP systems
- Demonstrable experience of object oriented in Python
- A proven ability to influence technical decisions in a fast-moving commercial environment
- Demonstrates excellent people skills
- Demonstrates exceptional communication, interpersonal skills, and consistent high energy levels
- Proven development skills in at least one and preferably two or more of the following: Kafka or another message based streaming platform, Microservices, Machine learning and analytics in either Python or Sagemaker, Open source NoSQL technologies (e.g. MongoDB, CouchDB, ElasticSearch), ETL Tools such as Talend or Airflow, AWS (preferable) or experience of data engineering on another leading cloud vendor such as GCP or Azure
- Experience of database performance analysis and design
- Unit testing knowledge
- Exposure to Continuous Integration / Continuous Delivery tools (e.g. Go, Jenkins)
Benefits
- Hybrid & remote working options
- €1,000 per year for self-development
- Company share scheme
- 25 days of annual leave per year
- 20 days per year to work abroad
- 5 personal days/year
- Flexible benefits: travel, sports, hobbies
- Extended health, dental and travel insurances
- Customized well-being programmes
- Career growth sessions
- Thousands of online courses through Udemy
- A variety of engaging office events
Job title
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