Job Title: Senior Manager, Data Engineering

Location:LondonType:Full-TimeSalary:Competitive

Our client in the media sector are currently seeking a Senior Manager of their Data Engineering team to their skills to help facilitate their analytical and data driven approach. Primarily this will involve architecting custom data solutions both for clients as well as the agency.

You will work closely with our team to automate data collection and transformation pipelines, ensuring the highest standard in data integrity. You will also be required to propose best ETL pipeline solutions.

This is an exciting role with excellent career opportunities within a high-profile team and scope to strategically shape the agency. Therefore, we are looking for someone who can hit the ground running, define their work, and drive a new practice area within the overall team. Experience with digital media data isn’t a pre-requisite, but would be extremely beneficial.

Responsibilities

• Be the leading voice on the core design of data architecture, determine the best way to progress, and lead the team implementing the plan.
• Be available for the team of data engineers as a mentor.
• Take responsibility for the team to mature into a best practices dataops team, as well as driving data literacy across the marketing science team within the data engineering space.
• Be a key stakeholder on our cloud based infrastructure, providing expertise and recommendations on the best opportunities to innovate and develop the underlying technology.
• Get involved in designing, building and maintaining data pipeline architecture for ELT/ETL.
• Proactively review existing process to identify opportunities to automate manual processes, optimise data delivery, re-design infrastructure for greater scalability, etc.
• Collaborating with data scientists, analysts and front-end data visualisation team to identify potential opportunities and maximise the value delivered from data models.

About You

• Experience as a data engineer working in with experience in key disciplines, e.g. data warehousing, Business Intelligence and big data processing.
• Experience working with Google Cloud Platform (preferred, but any other cloud experience e.g. AWS, Azure is also relevant).
• Experience in developing ELT/ETL data pipelines.
• Ability to translate business needs into technical specifications.
• Good knowledge of Python and/or R.
• Good knowledge of SQL.
• Familiar with different data modelling techniques.
• Comfortable using GIT.
• Familiarity with CI/CD principles and tools.
• Some experience of Business Intelligence (BI) tools such as PowerBI, Tableau or QlikView desirable, but not necessary.
• Experience with DBT(Database Build Tool) desirable.
• Knowledge of the digital media industry is necessary.

Qualities

• Organization – an ability to manage multiple projects at one time with accuracy and speed.
• Curiosity – a natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics.
• Resourcefulness – an ability to look beyond the usual sources and insight opportunities to find a solution when data may be limited.
• Creativity – an ability to think and solve problems in non-linear ways, and an ability to connect dots and craft compelling stories.
• Collaboration – a desire to create a collaborative working environment where the notion of team comes before labels.