MarTech Technologist - Consumer Goods, Retail and Logistics - Germany at Infosys

Munich, Bavaria, Germany

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer Goods, Retail, LogisticsIndustries

Proven experience in a MarTech, marketing operations, or similar technical role
Hands-on experience with at least one major Customer Data Platform (CDP) like Segment, Tealium, mParticle, or Lytics, including event tracking, identity resolution, and audience segmentation
Deep knowledge of a leading Marketing Automation Platform such as HubSpot, Marketo, Braze, or Pardot, including campaign setup, automation rules, and email deliverability
Strong proficiency with APIs (REST, SOAP) for system integrations
Solid understanding of SQL for data querying and analysis
Familiarity with scripting languages like Python or JavaScript for custom integrations and automation tasks
Knowledge of HTML/CSS for email and landing page template management
Ability to analyze data, troubleshoot complex technical problems, and provide data-driven recommendations
Broad business skill set including stakeholder management, problem-solving, and resilience
Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
Excellent interpersonal skills and strong written and verbal communication skills in Germany’s official language(s) (C2 proficiency) and English (C2 proficiency)
Project-related mobility/willingness to travel
Preferred: Experience with CRM platforms like Salesforce or Microsoft Dynamics
Preferred: Familiarity with data warehousing solutions (e.g., BigQuery, Redshift, Snowflake)
Preferred: Knowledge of tag management systems

Design, implement, and maintain integrations between CDP (e.g., Segment, Tealium), Marketing Automation platform (e.g., HubSpot, Marketo, Braze), and other parts of the tech stack (CRM, analytics tools, etc.)
Develop and manage the data model within the CDP, ensuring data is accurate, standardized, and readily available for segmentation and personalization
Build, test, and optimize automated marketing campaigns, lead nurturing sequences, and data-triggered workflows
Act as the primary technical point of contact for the marketing team, resolving issues related to data discrepancies, API connections, and platform performance
Monitor the health of the MarTech stack, identify opportunities for improvement, and implement solutions to enhance campaign effectiveness and data quality
Work closely with marketers to understand their needs and translate campaign requirements into technical solutions