Data Engineer

Job not on LinkedIn

🔥 38 minutes ago

🇫🇷 France – Remote

💵 €47.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Perceptive Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Perceptive Inc. is a leading provider of scientific and data-driven solutions for the bio-pharmaceutical industry, focusing on oncology, central nervous system (CNS) therapeutic areas, and musculoskeletal imaging. With expertise in drug discovery, preclinical and early clinical imaging, and radiochemistry, Perceptive offers services that identify promising candidate compounds and mitigate risks through premier imaging services. It also provides comprehensive eClinical solutions, including Randomization and Trial Supply Management (RTSM), aimed at optimizing clinical trial processes. Trusted for its high-quality data, Perceptive serves as a partner in advancing clinical trials and bringing essential treatments to patients faster, backed by over 50 years of experience and a team of dedicated experts. Perceptive's global presence ensures seamless delivery of Discovery, eClinical, and Imaging services to support worldwide clinical trials.

📋 Description

• Build scalable, cloud-native data pipelines for batch and streaming workloads • Support implementation of data ingestion frameworks for structured, semi-structured, and unstructured data • Develop APIs and integration services for data exchange between internal systems • Support platform scalability and reliability across global operations while collaborating with Senior Engineers • Support implementation of database and storage solutions across relational, NoSQL, and data lake systems • Develop metadata-driven ingestion and transformation frameworks • Assist in ensuring data schemas support analytics, AI/ML, and business applications • Implement data quality frameworks, validation rules, and automated checks • Build reusable transformation components to standardise data processing • Support data lineage, cataloguing, and governance capabilities under guidance • Ensure data privacy, protection, and regulatory compliance • Develop high-throughput distributed data processing solutions • Optimise data pipelines for performance, cost efficiency, and resilience • Contribute to observability and monitoring for pipeline health, data drift, and SLA compliance • Build caching, partitioning, and indexing strategies to improve query performance • Enable data scientists with curated datasets and feature pipelines • Develop real-time or batch-oriented feature stores • Integrate data workflows with MLOps and model deployment systems under guidance • Build visualisation-ready datasets for BI tools and dashboards • Apply security practices including role-based access control, encryption, and secure data-sharing patterns • Support compliance with FDA/GxP, GDPR, HIPAA, and other regulations • Develop audit trails, data retention, and disaster recovery solutions • Stay informed on emerging data engineering, AI, and cloud technologies • Share insights and drive continuous improvement across data engineering practices

🎯 Requirements

• Working knowledge of cloud-native data platforms and serverless architectures (Azure, AWS) • Good understanding of CI/CD and DevOps concepts • Understanding of data modelling concepts • Familiarity with API patterns • Knowledge of streaming platforms (Kafka, Kinesis, Pub/Sub, Event Hubs) • Strong SQL skills • Good communication skills with ability to work across technical and business teams • Experience in data pipeline orchestration (e.g., Airflow, Prefect, Dagster) • Experience with scalable data processing frameworks (Spark, Flink, Beam, Databricks) • Experience working in data engineering or related technical roles • Exposure to cloud-native data platforms (Azure, AWS, or GCP) • Exposure to modern ELT/ETL tools and distributed data processing • Good experience in Python, SQL, and optionally 3GL technologies • Exposure to modern data warehousing and lakehouse platforms • Exposure to analytics tools (Power BI, Tableau, Looker) beneficial • Bachelor's Degree in Computer Science, Data Engineering, Software Engineering, or related discipline • English: Fluent