Data Engineer

Project Foundry Resourcing Services; Leinster; On-site; EUR 70,000 - 100,000; Full time

Job summary

Project Foundry Resourcing Services is seeking an experienced Data Engineer to build the foundational data infrastructure for a large-scale clinical trial forecasting program. You will design and deliver reliable, scalable data products that enable forecasting across study, site, subject and procedure-level activity.

You will work hands-on across contract, budget and operational data from multiple enterprise sources, delivering multi-currency, multi-site, multi-country solutions with governance,

Qualifications

• Hands-on experience designing, building and maintaining production data pipelines.
• Experience integrating datasets from operational, contractual and financial systems across countries.
• Experience with data ontologies, knowledge graphs or master data.
• Experience in clinical trials, life sciences or regulated environments.

Responsibilities

• Develop automated ingestion pipelines for contract and budget data and publish trusted datasets.
• Integrate site-level rate and budget data and publish versioned datasets for forecasting initiatives.
• Define and implement a common data ontology and knowledge graph with clear versioning.
• Maintain a governed source-of-truth register with amendment history.
• Collaborate with stakeholders to ensure accurate data for the subject-level projection engine.

Skills

Data pipelines

Data product delivery

Data integration

Multi-country data

Job description

We are seeking an experienced Data Engineer to build the foundational data infrastructure supporting a large-scale clinical trial operational and financial forecasting programme. You will design and deliver reliable, scalable data products that enable forecasting across the full trial lifecycle, including study, site, subject, visit and procedure-level activity. Your work will underpin downstream analysis of investigator fees, laboratory kits, resource demand and revenue recognition.

This is a hands‑on engineering role operating across complex clinical trial data domains. You will work with contract, budget, operational and actuals data from multiple enterprise source systems, ensuring that data is integrated, reconciled and available at the right level of granularity. You will build solutions that support multi‑currency, multi‑site and multi‑country studies, while maintaining the governance, traceability and version control required for trusted forecasting outputs.

KEY RESPONSIBILITIES

You will develop automated ingestion pipelines for contract and budget data, together with structured consumption layers that make trusted data available to forecasting products and business users. You will integrate site‑level rate and budget data, build feedback pipelines that return operational actuals at forecast grain, and publish versioned datasets for use by several forecasting initiatives.

You will also define and implement a common data ontology and knowledge graph, establishing consistent identifiers and relationships across upstream and downstream systems. A key part of the role will be creating and maintaining a governed source-of-truth register with clear versioning and amendment tracking. You will partner with stakeholders to ensure the subject-level visit projection engine‑the primary downstream consumer‑receives accurate, timely and well‑documented data.

MUST‑HAVE SKILLS

Data Pipeline Development and Data Product Delivery

CORE

You have strong, hands‑on experience designing, building and maintaining robust production data pipelines. You can automate ingestion, transformation and publication of data from multiple source systems, and you understand how to produce reusable, versioned datasets that meet the needs of several downstream products. Experience working with data at different operational grains and delivering reliable data products in a governed enterprise environment is essential.

CORE

You can integrate complex datasets from operational, contractual and financial systems, resolving differences in data models, identifiers and business definitions. You are comfortable building a shared integration layer that supports data across countries, sites and currencies, while preserving the detail required at study, site, subject, visit and procedure level.

Data Ontology, Knowledge Graphs and Master Data

CRITICAL
You have practical experience designing data ontologies, canonical models or knowledge graphs that create consistent entities, identifiers and relationships across disparate systems. You understand how this capability supports data reconciliation, lineage and trusted cross‑domain analytics. You can apply these principles to establish a governed source of truth with clear version control and amendment history.

Clinical Trial, Life Sciences or Complex Operational Data

REQUIRED
You bring experience working with complex operational data, ideally within clinical trials, life sciences or a similarly regulated environment. You understand the importance of data quality, auditability and traceability where data informs operational and financial decision‑making. Exposure to clinical trial contracts, budgets, site data, subject activity or visit‑level data will be particularly valuable.

NICE TO HAVE

• Experience supporting forecasting, planning or revenue‑recognition data products - useful for understanding the needs of the programme's downstream consumers.
• Experience with actuals‑versus‑forecast feedback loops - valuable for improving forecast accuracy and operational learning over time.
• Familiarity with subject‑level visit projection or patient journey models - beneficial for supporting the programme's principal forecasting engine.
• Experience operating in multi‑country, multi‑currency environments - useful when designing scalable and consistent data solutions across global trials.

WHY THIS ROLE

This role offers the opportunity to shape the data foundations of a high‑impact clinical trial forecasting capability. You will solve challenging integration and data‑modelling problems while creating trusted, reusable assets that support better planning and decision‑making across clinical operations and finance.