Data Engineering Leadership Opportunity
We are seeking an exceptional Data Engineering leader to join our team and drive the development of our enterprise data engineering strategy.
* Job Summary:
The successful candidate will lead a high-performing global data engineering team, championing excellence in data timeliness, integrity, infrastructure scalability, and operational efficiency.
Main Responsibilities:
* Develop and execute a scalable data engineering strategy that supports applications, business intelligence, and data science workloads.
* Lead the design, development, and support of cloud-native data platforms supporting analytics, business intelligence, and data science workloads.
* Manage cloud-based data infrastructure on platforms such as Azure, Amazon Web Services, or Google Cloud Platform.
* Collaborate with business analytics and data science teams to ensure data environments are optimized for downstream consumption.
* Champion the use of data analytics, reporting, and business intelligence tools to support decision-making, performance tracking, and regulatory needs.
Requirements:
* 12+ years of technical hands-on experience in data engineering, data integration, or data architecture roles, including at least three years in a leadership position.
* Proven ability to lead and develop high-performing data teams, with a strong emphasis on professional growth, mentorship, retention, and creating a culture of continuous learning and technical excellence.
* Financial services experiences, ideally within wealth or asset management and associated data sets and applications.
* Strong hands-on experience with iPaaS platforms (e.g., Workato, Celigo, Boomi, MuleSoft), particularly in mid-market enterprise integration scenarios.
Desirable Skills:
* Deep experience with the design, development, implementation, and support of cloud-native data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric, or Azure Synapse Analytics.
* Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica.
* Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other distributed data processing frameworks.
About Us:
We are a dynamic organization building something meaningful and seeking talented individuals who want to help shape our future. If you're excited by the opportunity to work across a dynamic global platform and influence enterprise-wide technology transformation, we'd love to hear from you.
This role could be based in Lisbon or London offices, but may require remote work or travel depending on business needs.