Director, Data Engineering – RWD

🕒 September 11

🌐 United Kingdom, Poland, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote 🇷🇴 Romania – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Parexel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Venture Round on 1990-01

Consulting • Healthcare • Logistics

Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.

📋 Description

• Orchestrate and drive delivery across Data Ingestion, Data Engineering, and Data Distribution for Real-World Data and related enterprise data products • Connect clinical research, operational, and commercial priorities to executable plans across ingestion, transformation, curation, and distribution • Provide technical leadership for scalable RWD pipelines, lakehouse design, architecture, data quality controls, metadata practices, and reusable data product patterns • Coordinate between RWD stakeholders, Clinical Operations, Commercial, business domain owners, architects, engineers, governance teams, analytics teams, and downstream consumers • Lead intake management, prioritization, roadmap shaping, delivery planning, dependency management, stakeholder alignment, delivery governance, and value tracking • Influence execution across teams without direct authority by clarifying tradeoffs, resolving blockers, and driving commitment to agreed outcomes • Coordinate data engineering teams and stakeholders to align technical quality, execution discipline, stakeholder engagement, and delivery accountability • Champion capability development in cloud data engineering, Azure Databricks, lakehouse architecture, CI/CD, SQL, Python, data observability, governance, and secure data distribution • Track delivered outputs against planned KPIs and expected value measures • Ensure trusted, high-quality, governed, and reusable data assets support analytics, AI enablement, operational reporting, regulatory-aligned use cases, and sponsor-facing distribution

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field (required) • Strong advanced-level experience in IT, data, analytics, or technology, predominantly focused on life sciences, clinical research, healthcare data, RWD, or regulated data environments • Significant hands-on leadership in enterprise data engineering, integration, cloud platforms, and data delivery • Previous high-level experience leading complex data engineering, data delivery, or analytics platform initiatives in relevant regulated or life sciences environments through matrixed leadership • Deep technical expertise in enterprise data engineering, including ingestion patterns, transformation frameworks, lakehouse architecture, medallion design, data quality, metadata management, and operational support • Strong matrixed leadership and orchestration skills • Predominant experience with life sciences data environments, including Real-World Data, clinical research data, healthcare data, regulated data environments, GxP expectations, privacy controls, sponsor/client needs, and data governance • Hands-on knowledge of Azure Databricks, Azure Data Lake, SQL, Python, Spark, APIs, orchestration frameworks, CI/CD, and monitoring practices • Experience applying product- and program-management discipline to data engineering delivery • Proven ability to manage cross-team dependencies, delivery risks, prioritization tradeoffs, capacity constraints, and competing stakeholder expectations in a matrixed organization • Experience developing and implementing applications in new computing architecture environments using innovative technologies • Experience influencing technical and business teams across multiple project lifecycle phases • Experience leading resources to achieve goals across multiple projects • Experience developing efficient and effective solutions to complex business challenges • Experience translating business needs into technology priorities, delivery plans, success measures, and realized outcomes • Experience in life sciences, clinical research, healthcare, RWD, or regulated data environments • Clinical trial operations, sponsor-facing data delivery, regulatory-aware analytics, or commercial life sciences data experience strongly preferred

🏖️ Benefits

• Competitive base salary • Bonus • Car allowance • Holiday • Other leading benefits expected with a top company in the CRO industry • Structured career pathway • Encouragement to develop within the role • Awareness and understanding of the industry