Job Overview
Company logo: https://media.licdn.com/dms/image/v2/D4E0BAQFgVvjI9w4FUw/company-logo_400_400/company-logo_400_400/0/1708624121184/controlvexposed_logo?e=1746057600&v=beta&t=dlkvgp0gYCpPxHZItP20WFr5c6v6MY0HuOCetCFTmCE Who We AreCvE – Marketing Consultancy is a consultancy dedicated to enabling marketing to be a more effective growth engine. Our team, comprises of industry experts and consultants with backgrounds
spanning brand side, agency, technology, and publishing, advises Chief Marketing Officers (CMOs), senior marketers, and their teams on strategies that best suit their brand and business. We work with some of the world’s
most progressive brands including Mars, Dell, KFC, Sainsburys, 7-Eleven, Morrisons and Ulta Beauty.As a marketing consultancy, CvE acts as a recognized partner to our clients’ in-house or agency teams to deliver transformative
insights and solutions. In your role as a Data Engineer in the Data & Technology & Practice, you will deliver media and data engineering projects for blue-chip clients. Using your knowledge of cloud platforms (e.g.
Google BigQuery, Azure, AWS), ETL/ELT/hybrid compute, APIs, analytics and data exploitation, you will produce architectures and drive the development for complex, end-to-end data solutions. Collaborating with key internal
and external stakeholders, you will design, build and integrate data pipelines from source platforms (e.g. Google Ads, Meta, CRMs) to data lakes, clean rooms, CDPs and data visualization tools. You will showcase your understanding
of how 0PD, 1PD, 2PD and 3PD impact downstream media operations as well as the relevant data points and KPIs to drive marketing and media performance reporting. You will work with clients’ data to identify gaps and reveal
insights that lead to growth and change and empower clients to succeed post-engagement with clean, tested, and well-documented code.
What You Will doCollaborate with upstream and downstream technical teams to develop integrations to provide a seamless flow of customer and marketing data from planning to deliveryCreate robust end-to-end ETL/ELT/hybrid
compute data integrationsPossess hands-on experience with two or more major cloud platforms (including BigQuery, Azure, AWS, Snowflake, etc.), data connectors and APIs and data visualization platforms (PowerBI, Tableau,
Google Data Studio)Possess hands-on experience with two or more major Customer Data Platforms (Adobe RT CDP, Salesforce Data Cloud, Segment, ActionIQ, Amperity. etc.)Experience with Technologies and Processes for Marketing,
Personalization, and Data Orchestration such as Adobe Marketing Cloud, Oracle Marketing Cloud, Salesforce Marketing CloudUnderstand the digital marketing landscape and in particular the main KPIs by channel (search, social,
display, CTV, affiliates, CRM, etc.)Provide advice to clients on architecture/infrastructure, platform and engineering best practices across Data Warehouse/Data Lake solutions and modelling conceptsEngage with clients to
determine the technical and functional requirements to develop and build robust data integration pipelinesDefine the data, reporting and analytics roadmap and long-term strategy for clientsCreate KPI/Metric Catalogues as
well as BI findings and recommendations reportsBuild and maintain dashboards ensuring user stories and wireframes are created to make the reports fit for purposeImplement data management and governance frameworks to ensure
data is available, correct and secure
Who You Are5+ years of experience with the following:Data modelling in large complex IT estates, implementation of multiple data architectures and integration of Data Management/Governance
toolsCreating robust end-to-end ETL/ELT/hybrid compute data integrationsTwo or more major cloud platforms (including BigQuery, Azure, AWS, Snowflake, etc.), data connectors and APIs and data visualization platforms (PowerBI,
Tableau, Google Data Studio)Two or more major Customer Data Platforms (Adobe RT CDP, Salesforce Data Cloud, Segment, ActionIQ, Amperity. etc.)Advising clients on architecture/infrastructure, platform and engineering best
practices across Data Warehouse/Data Lake solutions and modelling conceptsCommunicating trade-offs of architectural patterns and approaches associated with technology choicesDesigning data models that reduce data redundancy,
streamline data movements, and improve enterprise information managementWorking within the digital marketing landscape and in particular the main KPIs by channel (search, social, display, CTV, affiliates, CRM, etc.)Building
dashboards and organizing data to deliver actionable insightsDesigning and presenting artifacts to clients in a consulting environment and/or digital agency with demonstrated track record of continuing responsibilities,
creativity and innovation
What You BringStrong foundation in Python, SQL and SparkRequirements gathering – documentation of business and technical requirementsProject management – identifying, scoping, prioritizing,
tracking, and reporting deliverables and milestonesSolution designData visualizationStrong bias for action; ability to create a sense of urgency in a fast-paced, entrepreneurial environmentExcellent analytics skills to constantly
analyze customer feedback and dataAbility to communicate with a deeply technical as well as low technology literacy stakeholders and customers
At CvE, we are committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and marketing partners across
industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients
and communities we serve.