Description:
· The Global Data and Analytics team provides centralized support for data and business intelligence capabilities throughout the enterprise
· We industrialise datasets into our global data warehouse
· We enable access to data using scalable business intelligence solutions
· We standardise and consolidate customer data to support marketing activities and analysis
Could you be our new Manager, Data Engineering? Do you?
· Have extensive experience in the data engineering practice including data warehousing, ETL/ELT, and broad business intelligence concepts
· Have extensive experience leading multiple data engineering teams
· Have a data-driven mindset with a passion for building a data first organisation
· Lead a culture of transparency and agile ways of working
· Have an awareness of advanced analytic approaches to solving business problems
· Have experience of working and building globally distributed teams.
Your new role:
· Lead multiple teams to build enterprise scale data and analytic solutions.
· Manage direct reports to ensure that performance and goals are aligned with product and department goals and communicate company and strategic department objectives to the team.
· Accountable for recruiting and building a high performing team of internal and contract data engineers for approved investment initiatives to help realise the intended business benefits.
· Lead data engineering strategy on documentation, processes, and governance to better standardise the Data Engineering function within the company to continually improve data delivery.
· Provide data engineering expertise and direction in partnership with software engineers, product managers, and data scientists to build data architecture that drives insights.
· Experience delivering cloud-based data services (Azure strongly preferred).
· Experience using tools such as SSIS, Azure Data Factory, Spark, or comparable data integration tools.
Organization | Engage Transform |
Industry | Management Jobs |
Occupational Category | Manager |
Job Location | London,UK |
Shift Type | Morning |
Job Type | Full Time |
Gender | No Preference |
Career Level | Intermediate |
Experience | 2 Years |
Posted at | 2024-03-31 1:52 am |
Expires on | 2024-12-25 |