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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Vice President - **Company:** gb BlackRock - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Software Quality, Continuous Integration, Information Engineering, Python (Programming Language), Performance Tuning, Cloud Services, SQL Databases, Strategies of Testing, Workflow Management Systems, Model-Driven Development, Snowflake, Containerization, Kubernetes, Data Management, Terraform, Software Version Control, Data Pipelines - **Published:** September 6, 2026 - **Apply:** https://www.totaljobs.com/job/data-engineer/blackrock-job107944570 ## About the Role * Demonstrated experience (5+ years) operating enterprise-scale, production-grade data platforms, with a strong track record of reliability, performance, and stakeholder trust in business-critical environments. * Proven ability to exercise senior technical judgement, making architectural and prioritisation trade-offs across complex data ecosystems, including scalability, cost, governance, and long-term sustainability considerations. * Advanced expertise in SQL and analytical data modelling, with sustained experience building high-quality, well-governed datasets used broadly across analytics, research, and decision-making functions. * Strong background in modern analytics engineering, including dbt-based transformation layers, testing strategies, documentation, and embedded data quality practices in production environments. * Proficiency in Python for building and operating data pipelines, orchestration, and automation, supported by solid software engineering fundamentals (version control, testing, CI/CD). * Experience building and operating data pipelines using workflow orchestration frameworks (e.g. Apache Airflow), with a focus on reliability, observability, dependency management, and operational resilience. * Experience designing and operating cloud-native data platforms (AWS or Azure preferred) and enterprise data warehouses (Snowflake preferred), including performance tuning, cost controls, and secure access patterns. * Experience leading, mentoring, and developing data engineers while maintaining hands-on technical credibility. Desirable Experience * Experience working with private markets or alternative investment data (e.g. private equity, private credit, real assets, venture capital), supporting investment, research, or portfolio-level analytics at scale. * Exposure to advanced analytics or AI-enabled capabilities embedded within data platforms, such as automation, model-driven data products, or AI-assisted workflows. * Familiarity with modern data platform infrastructure and enablement practices, including infrastructure as code (Terraform or equivalent), container orchestration (Kubernetes), and related cloud-native technologies. Who You Are * You operate with a strong sense of ownership and accountability, taking responsibility for complex, business-critical data platforms and driving initiatives through to sustained production impact. * You apply rigorous, analytical thinking to ambiguous problems, using evidence, engineering judgement, and structured decision-making to deliver scalable, well-governed solutions. * You set a high bar for engineering excellence, embedding best practices in security, code quality, documentation, testing, and operational resilience. * You collaborate effectively across disciplines, building trusted partnerships with product, analytics, and business stakeholders. * You lead through influence and example, fostering an inclusive, collaborative, and high-performing engineering culture. * You demonstrate a growth mindset and continuous improvement orientation, embracing change and challenging established ways of working to deliver better outcomes at scale. ## Description As a Vice President, you will operate as a player-coach: a senior individual contributor providing hands-on technical leadership while also managing and developing a small team of data engineers. You will own complex data engineering initiatives end-to-end, partner closely with product, analytics, and business stakeholders, and set a high bar for engineering excellence, reliability, and operational maturity in an enterprise environment., * Provide senior technical leadership and architectural direction for data platforms and pipelines that enable the scalable expansion of Preqin's private company universe, ensuring performance, cost efficiency, and long-term maintainability. * Own the end-to-end delivery of complex, business-critical data engineering initiatives, from design through sustained production operation, with accountability for outcomes, reliability, and data trust. * Drive a platform-centric data engineering strategy, building reusable frameworks, shared datasets, and extensible pipelines that support multiple Company Intelligence products and advanced analytics use cases. * Ensure high standards of data quality, governance, lineage, and observability, proactively managing operational and compliance risks across enterprise-grade data products. * Partner effectively with product, analytics, and business leaders, developing a deep understanding of strategic objectives and translating them into data platforms that deliver measurable business value. * Lead, coach, and develop data engineers, combining hands-on technical contribution with people management to foster a high-performing, inclusive, and continuously improving engineering culture. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)