Lead Data Engineer
Lead Data Engineer
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Job Description
Accepting applications until:
25 April 2025Job Description
Lead Data Engineer (DAX)
We are Global
At Global we think big work hard and never stand still. Were the proud home of the best media and entertainment driven by our talented and passionate people. Our mission To make everyones day brighter our Globallers our audiences our partners and our communities.Whether were in the studio building worldclass technology or securing record Outdoor advertising partnerships we make sure were doing it as a team.
Your new role: Lead Data Engineer
Global is looking for an established Lead Data Engineer to come fill in a pivotal role in the development of new datacentric products for Globals Digital Ad Exchange (DAX).
This position demands a seasoned professional with a deep understanding of data architectures engineering best practices data governance testing strategies and a track record of successfully leading a data engineering team.
The role would be reporting to the Head of Data Engineering and is a unique opportunity to continue the work to develop and maintain a robust data infrastructure that supports DAX datadriven initiatives.
Key Responsibilities
Design & Implementation 50:
Building and maintaining key data platform capabilities pipelines and services used across DAX.
Translating requirements into technical designs and planning the implementation of new features.
Ensuring technical solutions align with project requirements and follow industry standards and best practices.
Establishing comprehensive testing strategies including unit integration and endtoend testing to ensure the reliability of data services.
Implementing and enforcing data governance techniques to ensure the accuracy and reliability of the data delivered.
Leadership & Collaboration 20:
Leading and mentoring a team of Data Engineers fostering a culture of continuous improvement and technical excellence.
Raising the bar across the team by setting standards and best practices and demonstrating them through your own work.
Organising the work of the team ensuring an appropriate balance of feature delivery and platform improvements.
Collaborating with the other DAX and Data engineering teams and the wider Data Group.
Contributing to the design implementation and maintenance of the wider data architecture ensuring quality scalability reliability durability and performance.
Operations Innovation & Optimisation 30:
Overseeing the ongoing operational support of the pipelines and processes.
Implementing observability alerting and automated recovery mechanisms
Ensuring SLAs (Service Level Agreements) for data availability and reliability are met and that incidents are managed appropriately.
Staying updated on industry trends researching and evaluating new tools and techniques to optimise the solutions.
Owning and prioritising a backlog for maintenance and improvements.
What Youll Love About This Role
Think Big: Youll be at the heart delivering the next evolution our DAX data platform which will underpin critical features and insights as we grow this part of the business
Own It: Youll be doing this by leading technical delivery on some of our most important use cases
Keep it Simple: Weve got some of the largest and most diverse data sets in UK media with scale that continues to grow. Youll play a leading role in how we enable our platform to meet this scaling challenge while remaining reliable maintainable and costeffective
Better Together: Youll be part of a diverse data team and have an opportunity to work alongside highly talented engineers data scientists and data analysts to deliver our most important business outcomes
What Success Looks Like
In the first few months you would have:
Rapidly have acquired quite deep understanding of the current platform; its architecture engineering challenges work methodologies and short/long term planning and deliverables.
Identified opportunities to improve resilience and efficiency of the platform and established a roadmap for enhancements.
Introduced best practice SDLC methodologies for testing and deploying reliable and scalable data services.
Fostered a culture of accountability collaboration and continuous improvement within the team.
Become immersed within the DAX data domain partnering with the business to deliver trusted data products.
Demonstrated a commitment to researching and applying the latest tools and techniques driving engineering excellence.
What Youll Need
The ideal candidate will be proactive innovative and committed to building reliable and welltested solutions.
Recommended Skills & Experience:
Strong programming skills (ideally Python) with a focus on writing testable and maintainable code.
Expertise in cloud services (ideally AWS and Databricks) with an emphasis on secure scalable and resilient data architectures.
Experience working with largescale streaming data systems (e.g. Apache Kafka Apache Spark Streaming in particular leveraging the Databricks platform.
Proficiency with lowlatency timeseries databases (i.e. Apache Druid)
Proven experience in leading data teams to build and deploy highly available distributed systems for data extraction transformation and loading (ETL/ELT).
Strong understanding of monitoring and observability practices to ensure system reliability.
Knowledge of CI/CD pipelines Infrastructure as Code (e.g. Terraform) and automation testing frameworks for data engineering.
Ability to lead complex projects from design stage to delivery across multiple team members.
Good communication skills demonstrated in the design of solutions and technical decisions being able to bridge the gap with nontechnical stakeholders and transmitting knowledge with less experience engineers.
Analytical thinking with a datadriven approach to problemsolving and decisionmaking.
Coach and mentor other team members by helping them grow and develop their skills and demonstrating best practices.
Strategic delegation evaluating the skill levels and growth potential of junior team members and assigning tasks that align with their capabilities while eager to undertake the most complex and critical tasks.
Mitigate roadblocks discovering and mitigating unknown project blocking risks.
Understanding of Agile methodologies and how they can be applied to drive efficiency.
Bonus Points for:
Relevant Certifications
Ability to debug distributed architecture (K8s)
AdTech domain experience
Creating a place we all belong at Global
We are dedicated to creating a place where different voices are represented amplified and celebrated.Weknow that we cantserve our diverse audiences without first celebrating it in our people which is why were passionate about creating an inclusive culture where every Globaller can belong. So no matter who you are or where you are from you can find your place at Global.
As a business we believe in the importance of a healthy worklife balance and the value of a flexible and agile workforce. Therefore we operate a Smart Working approach.If you need us to make any reasonable adjustments during your recruitment process drop us an email at well be happy to help.
Employment Type
Full-Time
