Data Engineer

We’re on a mission to change the future of clinical research. At Perceptive, we help the**biopharmaceutical industry bring medical treatments to the market, faster.

Our mission is to change the world but to do this, we need people like you.

As D** ata Engineer, Medical Imaging , you will support the design, development, and maintenance of scalable, secure, and compliant data solutions that enable analytics, reporting, and AI/ML workloads.

You will contribute to data ingestion, transformation, modelling, and orchestration activities, enabling reliable and high-quality data across the organisation with appropriate guidance.

In this role, you will work as part of a team building modern cloud data platforms, supporting data operations, and ensuring performance, reliability and compliance with industry standards.

Key Responsibilities

Cloud-Native Data Architecture & Pipeline Engineering

• Build scalable, cloud-native data pipelines for batch and streaming workloads

• Support the implementation of data ingestion frameworks for structured, semi-structured, and unstructured data

• Develop APIs and integration services for data exchange between internal systems

• Collaborating with Senior Engineers, support platform scalability and reliability across global operations

Data Modelling & Storage Design

• Support the 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

Data Transformation, Quality & Governance

• Implement data quality frameworks, validation rules, and automated checks

• Build reusable transformation components to standardise data processing

• Support the implementation of data lineage, cataloguing, and governance capabilities under guidance

• Following established policies, ensure data privacy, protection, and compliance with regulatory requirements

Data Platform Development & Optimization

• Develop high-throughput data processing solutions using distributed systems

• Assist in optimising data pipelines for performance, cost efficiency, and resilience

• Contribute to observability and monitoring activities for pipeline health, data drift, and SLA compliance

• Build caching, partitioning, and indexing strategies to improve query performance

Analytics & AI/ML Enablement

• Support the enablement of data scientists with curated datasets and feature pipelines

• Develop real-time or batch-oriented feature stores

• Integrate data workflows with ML operations (MLOps) and model deployment systems under guidance

• Build visualisation-ready datasets for BI tools and dashboards

Security, Compliance & Risk Management

• Apply established security practices to implement role-based access control, encryption, and secure data-sharing patterns

• Support compliance with FDA/GxP, GDPR, HIPAA, and other applicable regulations

• Develop audit trails, data retention, and disaster recovery solutions

Innovation

• Stay informed on emerging data engineering, AI, and cloud technologies, developing technical capability and experience across data engineering domains

• Share insights and drive continuous improvement across data engineering practices

Functional Competencies (Technical knowledge/Skills)

• 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

• Demonstrates willingness to learn and develop technical skills

• A flexible attitude with respect to work assignments and new learning.

• Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail.

• Ability to identify and implement process improvements.

• Proactively participates in skills improvement training and encourages their teams to participate.

Experience, Education and Certifications

• 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.

Salary Range

• This position attracts a salary of up to EUR 47,300 per year.