Data Engineering Professional at BT Group enabling data - driven decision making through scalable data solutions. Responsible for development, testing, and deployment of ETL/ELT pipelines.
About the role
- Director of Data Engineering leading a team to deliver scalable data solutions at The Hartford. Collaborating across business units for innovative data-driven strategies and machine learning integration.
Responsibilities
- Actively lead and develop a team of data engineers to deliver and maintain reusable and sustainable data assets and production pipelines that assist the functional business units in meeting their strategic objectives
- Collaborate with Data Scientists and Product Owners to advise approaches to business opportunities
- Develop the design and vision for data pipelines and testing frameworks, both batch and real-time to meet business needs while balancing maintainability, reliability, security, and scalability.
- Provide guidance on and independently navigate data warehouses, understand data architectures, and join disparate data sources to ensure quality and appropriateness of data solutions.
- Lead the use and development of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices
- Contribute to and execute a multi-year roadmap to build and remediate enterprise-grade data assets leveraging cloud-based target state technology and architecture
- Drive disciplined innovation by balancing a relentless focus on delivering results and customer adoption with out-of-the-box thinking and a continuous improvement mindset
- Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
Requirements
- 8+ years of relevant experience recommended
- Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related discipline
- Experience in managing Data Engineering teams in an Agile environment
- Experience designing and delivering scalable data engineering solutions that integrate GenAI capabilities and agentic AI systems
- Expertise in Python and SQL
- Expertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
- Expertise in ETL concerning metadata management and data validation
- Expertise in Unix and Git
- Expertise in Automation tools (Autosys, Cron, Airflow, etc.)
- Experience with AWS Services (i.e. S3, EMR, etc.) or GCP
- Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus
- Able to communicate effectively with both technical and non-technical teams
- Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
- Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
- Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Benefits
- Bonuses
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
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