Data Engineering Manager

This is a very varied role which will suit an experienced team leader with a strong Data,
Analytics and Tech ops background. You would be joining a new function vertical in the CDO
office (Data Operations and Quality) as the Analytics Engineering Lead, working alongside three
other Leads for Architecture, Operations and QA. The role is about building a high-performance
team of engineers and best-practice SDLC governance to match, with the objective of producing
a wide range of robust and supportable solutions in Analytics using cloud tech.
? Building Data Products on top of a data lake including enterprise presentation layers,
APIs, subject oriented marts and cubes
? Drive down delivery times and increase data quality through the adoption of reusable
patterns such as generic decoupled service components, metadata driven frameworks,
rules engines, templates and code generators
? Increase data quality and reduce engineering delivery time through the continuous
improvement of the SDLC processes and toolset, focusing on CI/CD automation
? Leading, recruiting and performance management of a team of engineers and devOps
? Work with Architects, QAs and Ops to embed solution NFRs supporting Data
Governance policies and standards
? Work with Architects, QAs and Ops to embed solution NFRs ensuring operational
readiness, with focus on robustness, extensibility, supportability and monitoring/alerting
for both data quality and tech functionality
? Deploy and manage infrastructure and applications for self-hosted cloud solutions in line
with the central infrastructure and security policies
? Resource Level 3 support through a rota of engineers, to be coordinated by the Analytics
Operations lead for the investigation and resolution of production incidents and code
defects
? Own technical relationships with external suppliers
Qualifications
Essential:
? Held previously a leadership position in a large enterprise with similar responsibilities as
above
? Experience managing large data volumes in a complex ecosystem of Analytics and Data
solutions
? Proven experience setting up best practice for cloud development and infrastructure
delivery
? Process and documentation driven
? Dev and Test cycle automation
? Cloud certification (ideally AWS)
? Solid exposure to infrastructure and cloud deploy
? OLAP and Tabular Cubes
? Solid understanding of data warehousing and data modelling methods (ie Kimball)
? SQL performance optimization
? Implementation of API and service-oriented architectures
? Good understanding of FE technology and solid experience with web tracking data
? Python, Airflow, Snowflake, DBT
? Docker, Git, Kubernetes
? PowerBI
? Business data domain (i.e. finance, marketing, compliance)
? Data privacy and security
Desirable
? Passion for coding, still being hands-on with technology
? ML Ops using Sagemaker or DataRobot
? Google cloud and Google marketing platforms
? Digital marketing
? Gaming industry domain knowledge
Managerial/Leadership Responsibilities
? Hiring, retaining and leading top technical talent in the context of a large enterprise
? Staff performance management and ability to inspire, grow and motivate
? Experience handling difficult performance conversations
? Develop and communicate clear goals and objectives for the team aligned to our
business strategy.
Required Skills
[Snowflake, Data Engineer, Enterprise Architect]
Additional Information
NA