Data Engineer

The Opportunity

An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Tech and Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development.

The Company

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 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 (Assurance), 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.

mediasense has over 200 employees across London, New York, Singapore and New Delhi.
For more information, visit www.media-sense.com

The Role

This role is for a Data Engineer, based in the UK (remote options).

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. 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.

The role itself will involve a range of activities including:

• 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

The Candidate

You are a data engineer (or analytics-focused data professional) with 2-5 years experience; comfortable working with structured data at scale and motivated by solving client problems through data. You enjoy contributing to designing solutions, care about data quality, and are confident working across both technical and analytical problems.

The ideal candidate will have the following:

• 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.
• Enjoys building robust data solutions while working closely with analysts, media subject matter experts and clients to turn data into meaningful insight

The following are preferable, but training will be provided:

• 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

What We Offer

• Remote working
• 28 days holiday per year, up to a maximum of 32 days
• Work from any location in the world up to 4 weeks per year
• 10 days Annual Leave Purchase per year
• Day off for your birthday
• Company bonus scheme
• Pension
• Private Healthcare
• Employee Assistance programme
• Group Life insurance
• Annual season ticket loan
• Cycle to work scheme
• Eye test & contribution towards glasses for VDU
• Employee Referral Bonus
• New Business Bonus