Senior Data Engineer shaping data landscape and leading ETL/ELT solutions for mission - critical engineering projects in the UK. Collaborating with teams to deliver high - quality data products.
About the role
- Data Engineer Lead managing data pipelines and analytics for enterprise initiatives while leading a team. Architecting and optimizing solutions to ensure data quality and business alignment.
Responsibilities
- Architecting, creating and maintaining data pipelines
- Assist with renovating the data management infrastructure to drive automation in data integration and management
- Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements
- Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases
- Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Strategic, intellectually curious thinker with focus on outcomes
- Professional image with the ability to form relationships across functions
- Provides leadership, coaching, and mentoring to team members, and develops team to work with all areas of the organization
- Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
- Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s)
- Coaches' individuals through change and serves as a role model.
Requirements
- Bachelor's Degree in computer science, statistics or a related field
- 7+ years of related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
- 7+ years of experience with database programming languages and advanced analytics
- Master's degree in computer science, statistics or related field (preferred)
- Hands on data testing experience (preferred)
- Demonstrated success working with data preparation tools (preferred)
- Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS) (preferred)
- Expert knowledge of BI software tools (preferred)
- Expert experience with open-source and commercial data science platforms (preferred)
- Strong experience with various Data Management architectures and processes (preferred)
- Strong ability to design, build and manage data pipelines for data (preferred)
- Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets (preferred)
- Demonstrated success in working with large, heterogeneous datasets to extract business value (preferred)
- Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities (preferred)
Benefits
- Flexible work arrangement
- Professional development opportunities
- Equal Opportunity Employer
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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