Senior Data Engineer
This is an exciting opportunity to be part of a strategic transformation focused on data and AI innovation within a dynamic market-leading global business. We have a supportive culture with a keen focus on innovation, technical excellence, career development and mutual support. Responsibilities
- Data Pipeline Development: Design, develop, and optimize robust data pipelines and ETL processes to ensure efficient data flow and integration
- Data Infrastructure Management: Manage and enhance our data infrastructure to support performance, scalability, and long-term reliability
- Advanced Analytics Support: Build and maintain data models, data marts, and data lakehouse architectures to support data science initiatives, advanced analytics and reporting
- Data Quality Assurance: Implement data quality checks to maintain accuracy and consistency across all data sources
- Technology Exploration: Explore and implement advanced data technologies and tools
- Drive Continuous Improvement: Identify opportunities to streamline processes and improve the efficiency of our data pipelines
- Mentor and Support Team Members: Provide guidance and mentorship to junior engineers and support team to tackle technical challenges together
- Stakeholder Collaboration: Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs and collaborate with Analysts, Data Scientists, product owners, and business stakeholders to deliver high-impact, AI-driven solutions.
- Considerable experience in Data Engineering with strong focus on Data Management and Data Quality
- Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience required
- Deep proficiency in Python, SQL, Cloud Platforms ((AWS, GCP, Azure). Data Warehousing (Snowflake), Orchestration (Airflow, Rundeck), Streaming (Kafka)
- Continuous engagement with Data Science and Analytics colleagues to understand requirements for our data-assets and empower them with best possible data, to create high value analytical services
- Ownership of assigned data products, including data model design, end-to-end data pipeline delivery, data product quality monitoring, requirements analysis and issue resolution
- Enthusiastic attitude to explore and implement advanced data technologies and tools
- Working with other tech teams to define data requirements for external data products e.g., APIs, Data Marketplace offerings etc.
- Create data-to-value framework, which enables data value tracking from ingestion to customer value realisation
- A team player who works collaboratively and possesses excellent communications skills with ability to communicate technical details in business terminology
- Demonstrated success in managing multiple deliverables concurrently and prioritising effectively
- Detail-orientated with strong problem-solving skills, innovative thinking and self-motivation in learning and exploring applications
- Capable of providing coaching and support to transfer technical and data knowledge, fostering a collaborative team environment
- Contribute to continuous improvement initiatives and process enhancements.
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