Data Engineer designing and optimizing Azure - based data platforms for enterprise analytics. Developing scalable data pipelines and enabling insights through Power BI and Azure Synapse Analytics.
About the role
- Data Engineer at Betfair Romania Development responsible for building and maintaining scalable data pipelines. Collaborating with cross-functional teams to transform raw data into trusted datasets.
Responsibilities
- Assist in building and maintaining batch and real-time data pipelines using modern data tools and cloud platforms.
- Monitor internal dashboards and communication channels to help identify and escalate production issues.
- Respond to support requests from data users related to data access, anomalies, and performance questions.
- Support the resolution of data quality issues, working with senior engineers to identify root causes.
- Help create and maintain documentation for pipelines, systems, and troubleshooting steps.
- Collaborate with engineers, analysts, and technical project managers to ensure smooth data operations and successful delivery of features.
- Ensure the reliability of data ingestion processes, respecting the governance principles defined by the organization.
- Contribute to the quality and technological innovation of the product and the work environment.
- Participate in team meetings and code reviews to learn engineering best practices and contribute to technical quality.
- Sharing in-depth technical knowledge of Big Data and helping to train users in data solutions.
- Promoting data quality and monitoring in the information environment.
Requirements
- A passion for working with data and solving technical challenges.
- Solid foundation in SQL, experience with at least one programming language (e.g., Python, Java, Scala), and familiarity with data transformation workflows using dbt.
- Familiarity with data warehouses and/or cloud platforms such as AWS (bonus if you've used S3, Redshift, or similar tools).
- Experience with ETL/ELT processes and data ingestion techniques.
- Experience with Databricks, including Delta Live Tables (DLT) for building reliable and maintainable data pipelines.
- Hands-on knowledge of Apache Spark and/or Spark Streaming for processing large-scale batch and real-time data.
- Exposure to data orchestration tools (e.g., Airflow) or monitoring tools (e.g., Datadog).
- Good communication and collaboration skills.
- Curiosity and a growth mindset – you’re eager to develop your skills and try new tools.
- Understanding of dimensional modeling or data testing frameworks
- Familiarity with Git or CI/CD pipelines (e.g., GitHub Actions).
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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Experience level
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Not specified
Degree requirement
Tech skills
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