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Company

CvE - Marketing Consultancy · 3 hours ago

Data Engineer

United States

Full-time

Remote

Mid, Senior Level

5+ years exp

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Responsibilities

Collaborate with upstream and downstream technical teams to develop integrations to provide a seamless flow of customer and marketing data from planning to delivery

Create robust end-to-end ETL/ELT/hybrid compute data integrations

Possess 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 Cloud

Understand 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 concepts

Engage with clients to determine the technical and functional requirements to develop and build robust data integration pipelines

Define the data, reporting and analytics roadmap and long-term strategy for clients

Create KPI/Metric Catalogues as well as BI findings and recommendations reports

Build and maintain dashboards ensuring user stories and wireframes are created to make the reports fit for purpose

Implement data management and governance frameworks to ensure data is available, correct and secure

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringCloud PlatformsETL/ELTData VisualizationData GovernancePythonSQLSparkAPIsCustomer Data PlatformsDigital MarketingAnalytics SkillsRequirements GatheringSolution DesignProject Management

Required

5+ years of experience with data modelling in large complex IT estates, implementation of multiple data architectures and integration of Data Management/Governance tools

Creating robust end-to-end ETL/ELT/hybrid compute data integrations

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)

Hands-on experience with 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 concepts

Communicating trade-offs of architectural patterns and approaches associated with technology choices

Designing data models that reduce data redundancy, streamline data movements, and improve enterprise information management

Working 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 insights

Designing and presenting artifacts to clients in a consulting environment and/or digital agency with demonstrated track record of continuing responsibilities, creativity and innovation

Strong foundation in Python, SQL and Spark

Requirements gathering – documentation of business and technical requirements

Project management - identifying, scoping, prioritizing, tracking, and reporting deliverables and milestones

Solution design

Data visualization

Strong bias for action; ability to create a sense of urgency in a fast-paced, entrepreneurial environment

Excellent analytics skills to constantly analyze customer feedback and data

Ability to communicate with a deeply technical as well as low technology literacy stakeholders and customers