
Job Overview
Location
United Kingdom
Job Type
Full-time
Category
Data Science
Date Posted
July 4, 2026
Full Job Description
📋 Description
- • Define and execute the organization’s enterprise-wide data strategy aligned with business objectives in a FinTech and financial services environment.
- • Own the architecture and evolution of the enterprise data platform, including data ingestion, transformation, storage, and access layers.
- • Build, lead, and develop a high-performing data engineering team while establishing engineering standards, delivery best practices, and technical governance.
- • Design and implement scalable data governance frameworks covering data ownership, quality, lineage, metadata, and stewardship.
- • Ensure the data platform remains secure, reliable, scalable, and cost-efficient while supporting both operational and analytical workloads.
- • Drive adoption of self-service analytics by enabling business teams to confidently access and leverage trusted, governed data products.
- • Partner with senior leadership to translate business priorities into technical roadmaps and identify strategic data initiatives.
- • Establish delivery processes, prioritization frameworks, and operating models that balance immediate business needs with long-term platform sustainability.
- • Evaluate and implement appropriate cloud technologies, tooling, and vendor solutions to enhance data capabilities.
- • Champion a data-driven culture by improving data literacy, promoting best practices, and increasing organizational data maturity across departments.
- • Communicate technical strategy, delivery progress, risks, and business impact clearly to executive and non-technical stakeholders.
- • Support AI and advanced analytics initiatives by building robust, scalable data foundations that enable machine learning and predictive modeling.
- • Ensure compliance with regulatory requirements inherent to financial services through data governance and audit-ready data practices.
- • Lead cross-functional collaboration between data engineering, analytics, product, and compliance teams to align data capabilities with business outcomes.
- • Foster a culture of ownership, continuous improvement, and engineering excellence within the data organization.
- • Maintain fluent English communication across all levels of the organization, including executive briefings and stakeholder updates.
🎯 Requirements
- • Proven experience leading enterprise data strategy and owning modern data platforms within complex organizations
- • Extensive experience building and leading Data Engineering or Data Platform teams
- • Strong expertise with modern cloud-based data architectures, data warehousing, ETL/ELT pipelines, and data platform design
- • Demonstrated experience implementing data governance, data quality, lineage, metadata management, and stewardship frameworks
- • Track record of scaling data capabilities and improving organizational data maturity
- • Fluent English communication skills
🏖️ Benefits
- • Lead the company's enterprise-wide data strategy and shape its long-term technology direction
- • Build and scale a modern cloud-based data platform supporting analytics, operations, and AI initiatives
- • Create and develop a high-performing engineering organization with significant influence across the business
- • Work closely with executive leadership on strategic initiatives that directly impact company growth
- • Drive meaningful organizational transformation by embedding data into decision-making at every level
- • Join a collaborative, technology-first environment that values ownership, continuous improvement, and engineering excellence
Skills & Technologies
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About Pragmatike Soluciones Tecnológicas S.L.
Spanish technology firm founded in 2014, delivering custom software, mobile apps, cloud migration, and data analytics. Combines agile development, AI, and DevOps practices to serve finance, healthcare, retail, and public sectors across Europe and Latin America. Core services include UX/UI design, QA automation, and 24/7 managed support, with ISO 27001-certified processes and multilingual teams in Madrid, Barcelona, and remote hubs.
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