Data Engineer Manager

Media Sense•London, CA

5d•Hybrid

About The Position

An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Intelligence as a Service (IaaS) practice as a Data Engineer Manager. This role is ideal for an ambitious data professional with 2–5 years’ experience who enjoys building robust data solutions while working closely with analysts, media subject matter experts and clients to turn data into meaningful insight. You’ll play a key role in developing and maintaining data pipelines, analytical datasets and calculations that underpin our audience and marketing intelligence offerings - helping clients better understand performance, reach and effectiveness across an increasingly complex media landscape. mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category – recognized as the world’s most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform and how all parts of the ecosystem connect. Because progress doesn’t happen in isolation, it takes alignment, intelligence and trust. That’s what we enable. That’s what we stand for. That’s Unified Marketing Intelligence. mediasense's product offering is designed around how we help marketers optimize and transform through best-in-class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Accountability), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. This role sits within our Intelligence as a Service (IaaS) practice in Client Services. IaaS is responsible for what we deliver to clients: scalable, repeatable, high-quality data and analytics solutions that power ongoing decision-making. The team partners closely with Client Solutions, Client Strategy, Technology and Data Operations, building data products and analytical assets that deliver measurable client value and support always-on reporting and insight. mediasense has over 200 employees across London, New York, Singapore and New Delhi. For more information, visit www.media-sense.com We are looking for a Data Engineer with strong SQL and Python skills who is comfortable working across the full data lifecycle — from ingestion and transformation through to analytical modelling and calculation logic. While this is primarily a data engineering role, it also requires an analytical mindset and comfort working with mathematical and statistical concepts. The role is available as London-based (3 days in the office) or remote within the UK. London office attendance is expected for key internal and client meetings, but day-to-day flexibility is supported. In this role, your key responsibilities will vary as we work on a project basis, problem-solving for clients on many different types of projects. Examples of day-to-day work may include:

Requirements

2-5 years’ data engineering, analytics engineering or a closely related role
Strong SQL skills (essential)
Strong Python skills for data transformation and analysis
Experience working with cloud data platforms (Azure, Snowflake, AWS, GCP or similar)
Solid understanding of data modelling and transformation concepts
Comfort working with mathematical and statistical concepts relevant to analytics and reporting
Ability to work with ambiguous requirements and iterate towards robust solutions
Strong written and verbal communication skills
Comfortable explaining technical concepts and data outputs to non-technical stakeholders, with support from senior team members
An interest in developing client-facing skills, with a clear pathway to greater ownership of client conversations over time
Experience working in project-based environments, collaborating with consultants, analysts or client teams
Demonstrate core mediasense values: curious minds, courageous hearts; stronger together, smarter together; do the right thing, always; and raise the bar, then raise it again.

Nice To Haves

Experience working with audience measurement, media or marketing data
Experience with the data visualisation tools including Tableau and PowerBI
Experience with workflow or analytics tools such as Alteryx

Responsibilities

Designing, building and maintaining data pipelines using SQL and Python
Transforming raw data into clean, well-structured analytical datasets
Implementing and validating calculation and validation logic for performance metrics
Supporting the delivery of audience and marketing intelligence products used by clients on an ongoing basis
Working with cloud data platforms, primarily Azure and Snowflake
Collaborating with analysts and consultants to ensure data structures support insight, reporting and storytelling
Troubleshooting data quality issues and improving reliability and performance of existing pipelines
Writing clear, maintainable code and documentation aligned to team standards
Contributing to the continuous improvement of IaaS tools, templates and ways of working