
Data Platform Leader
4 days ago
Schibsted Marketplaces is a leading digital marketplace company in the Nordics, operating some of the strongest brands such as FINN, Blocket, Tori, DBA & Bilbasen.
The Data Platform Team is part of the Foundation unit, designed to empower Schibsted Marketplaces by providing essential technology shared services and fostering innovation.
In the Data Platform area, the focus is on enabling self-serve data management, discovery, and utilisation of data across the organisation. This area provides the foundational capabilities that allow various teams to seamlessly access, manage, and leverage data for analytics, AI development, personalisation, and advertising.
We are looking for an experienced Engineering Manager to join us and help drive the strategy, development, and success of these data platform capabilities.
**Job Overview:**
As an Engineering Manager, you will lead our Data Accessibility team and be responsible for ensuring seamless data access across the organisation while managing Apache Kafka infrastructure on Confluent Cloud for reliable real-time data streaming.
**Key Responsibilities:**
- Data Accessibility Strategies:
- Develop and implement strategies to ensure secure, efficient, and scalable access to enterprise data.
- Collaborate with Principal Engineers, developers, and business stakeholders to design accessible, high-performance data pipelines.
- Ensure compliance with data governance and privacy regulations, such as GDPR.
- Oversee the deployment, configuration, and administration of Apache Kafka and Confluent Cloud clusters.
- Ensure Kafka and Confluent Cloud environments are optimised for performance, scalability, and security.
- Manage Kafka brokers, topics, partitions, replication, and fine-tune performance on Confluent Cloud.
- Drive the automation of Kafka infrastructure management and operational tasks on Confluent Cloud, including provisioning, scaling, and monitoring.
- Work closely with DevOps and CloudOps teams to integrate Kafka/Confluent Cloud with cloud infrastructure (AWS, GCP).
- Partner with product, engineering, and business intelligence teams to understand data needs and prioritise initiatives.
- Collaborate with security and compliance teams to ensure data accessibility and Kafka environments adhere to security and regulatory standards.
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