Data Engineering Lead - Madrid, España - e-Frontiers

e-Frontiers

Empresa verificada

Madrid, España

hace 3 semanas

Publicado por:

Isabel García

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Descripción

Job Description:

We are looking for a Data Engineering Lead to join the Digital Data & Analytics team. You will have the opportunity to work at the intersection of Data, Sport and Media.

This role would suit a strong data engineer who wants to evolve into a data engineering leader. If you have a solid technical background and an objective to build leadership skills we would love to hear from you

Our data infrastructure is almost entirely built on AWS serverless components, and focused on infrastructure as code, near-real time and low/no code solutions where possible.

We continuously evolve to provide the most effective solutions in a high volume high availability environment.

We are a dynamic and multicultural team of specialists with a range of skills from analytics, statistics, and data engineering to business communications and project management.

We highly value diversity of background and perspective.

Duties & Responsibilities

In this role you will be a key leader of our data engineering work.

You will take responsibility for leading the approach on all new components as well as the continuous evolution of our current components.

The emphasis is on guiding our partner development teams, with occasional hands-on coding as a means to achieve this objective.

Design and delivery leadership components that meet requirements.
Contribute to the overall data infrastructure architecture, including understanding opportunities and feasibility of adopting new cloud components
Review existing implementations to identify opportunities to optimise performance or reduce cost
Troubleshoot data issues and perform root cause analysis to proactively resolve issues and identify improvements
Lead partner code reviews to ensure quality of components built.
Help to define, measure and monitor smart and realistic technical Service Level Agreements (eg availability, update latency, incident resolution) as a means to align expectations between users and partners.
Coordinate the approval of roles and permissions to sensitive production systems
Have daily stand ups with the Data engineering service
Discuss technical approach for future projects
Monitor the evolution of current data engineering projects (like the evolution of our Data Lake, cost reduction strategy for cloud costs, etc)
Troubleshoot data issues and perform root cause analysis to prevent future issues

Skills & Requirements

8+ years of relevant/professional experience related is required
At least 5 years of experience developing data related software.
Experience with Cloud environments is expected, especially in an serverless environment. Ideally AWS but other cloud experience is also appreciated. Proven track record of leveraging massive amounts of data to drive business progress.
Familiarity with Machine Learning is appreciated
Experience guiding and executing crossfunctional data engineering projects to completion, while remaining handson.
Familiar with Cloud Security concepts
Familiar with GDPR is appreciated
Experience working with external vendors to deliver projects.
Fluent in oral and written English, comparable to C1 proficiency

Workplace & Environment