Data Product Manager (Remote EU)
Salary:
€65000-75000 - Per Month
Locations:
Malta, Malta
Type:
Permanent
Published:
November 5, 2025
Contact:
Ike Feehi
Ref:
19143
Required Skills:
Kafka,SparkShare this job
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Job title: Data Product Manager
Working Model: Remote EU
Contract: Permanent
Responsibilities
Requirements
Working Model: Remote EU
Contract: Permanent
Responsibilities
- Act as the primary liaison between business functions and the data team to define, prioritize, and deliver impactful data solutions.
- Translate strategic business objectives into clear product requirements and development plans for the data team.
- Manage and refine the data product roadmap, ensuring initiatives are prioritized based on business value and strategic alignment.
- Establish clear data product standards covering documentation, ownership, accessibility, latency, and governance.
- Implement scalable processes for data quality assurance, monitoring, and incident resolution.
- Promote the effective use of data governance frameworks and tools such as catalogs, lineage tracking, and access controls to increase data trust and compliance.
- Partner with engineering and analytics teams to design, launch, and optimize reliable and discoverable data assets.
- Serve as a data product advocate across the organization by improving awareness, usability, and adoption of available data assets.
- Contribute hands-on when necessary to accelerate delivery or troubleshoot complex data-related challenges.
- Minimum 5 years of experience in data product management, data engineering, or analytics engineering roles.
- Demonstrated success in managing and scaling data products that enable business insights and operational efficiency.
- Strong understanding of modern data ecosystems, including data pipelines, warehousing, and cloud technologies, AWS is the preference
- Experience with streaming tools such as Spark, Flink or Kafka
- Experience working in the Igamnig industry
- Knowledge of data governance principles, including compliance, access management, and metadata practices.
- Proven ability to balance technical depth with strategic business understanding.
- Excellent communication and collaboration skills, capable of engaging both technical and non-technical stakeholders.
- Fluency in English, with strong written and verbal communication abilities.
