Senior Data Engineer

Parexel; Worthing; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global clinical research organization is seeking a Senior Data Engineer to architect and develop enterprise-grade data pipelines. Located in Worthing, UK, this role is essential for transforming raw data into actionable insights. The ideal candidate will have over 6 years of experience in data engineering and extensive knowledge of Azure and Databricks. Responsibilities include implementing data pipelines and ensuring compliance with data governance regulations such as GDPR. This role offers an opportunity to drive automation and CI/CD practices for data engineering.

Qualifications

• 6+ years of data engineering experience, with 4+ years hands-on in Azure, Databricks, and Snowflake.
• 3-5 years of experience in software development, with minimum 2 years of cloud computing.
• Proven experience in building BI-ready datasets and performance tuning in Power BI.

Responsibilities

• Architect and implement end-to-end data pipelines using Azure Data Factory, Databricks, and Snowflake.
• Collaborate with BI teams to ensure data models are optimized for reporting in Power BI.
• Establish data governance, quality, and security controls, ensuring compliance with GDPR.

Skills

Expert-level knowledge of Azure Data Factory

Proficient in SQL

Proficient in Python

Experience with Databricks

Experience with Snowflake

Knowledge of Agile techniques

Problem-solving abilities

Education

Bachelor’s or master’s degree in computer science or related field

Tools

Azure

Power BI

SQL

Job description

When our values align, there's no limit to what we can achieve.

Parexel is seeking a highly experienced Senior Data Engineer to architect, develop, and optimize enterprise-grade data pipelines and platforms using Azure, Databricks, Snowflake and Power BI. This role is pivotal in transforming raw data into actionable insights and building a resilient, scalable data ecosystem that supports business‑critical functions across clinical and operational domains.

Key Responsibilities

• Architect and implement end‑to‑end data pipelines using Azure Data Factory, Databricks, and Snowflake for large‑scale data ingestion, transformation, and storage.
• Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging Databricks and PowerBI in a medallion architecture setting.
• If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders.
• Excellent grasp of and expertise with test‑driven development and continuous integration processes.
• Analysis and Design – Converts high‑level design to low‑level design and implements it.
• Collaborate with Team Leads to define / clarify business requirements, estimate development costs, and finalize work plans.
• Run unit and integration tests on all created code – Create and run unit and integration tests throughout the development lifecycle.
• Benchmark application code proactively to prevent performance and scalability concerns.
• Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management.
• Support and Troubleshooting – Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments.
• Familiarity with PowerBI and Reltio is advantageous but not required.
• Collaborate with BI teams to ensure data models are optimized for reporting in Power BI, with a focus on performance and usability.
• Establish data governance, quality, and security controls, ensuring compliance with GDPR, HIPAA, and global clinical data regulations.
• Mentor and guide junior engineers, fostering technical excellence and knowledge sharing.
• Drive automation and CI / CD practices within data engineering pipelines, integrating with version control and deployment workflows.
• Work closely with Data Architects, Business Analysts, and Product Owners to translate business needs into technical solutions.

Required Qualifications

Experience

6+ years of data engineering experience, with at least 4 years hands‑on in Azure, Databricks, and Snowflake; experience with Reltio and Power BI integration is highly desirable.

Education

Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.

Skills

• Expert-level knowledge of Azure Data Factory, Databricks, and Snowflake.
• Understanding of quality processes and estimate methods.
• Understanding of design concepts and architectural basics.

Fundamental grasp of the project domain

• The ability to transform functional and nonfunctional needs into system requirements.
• The ability to develop and code complicated applications is required.
• The ability to create test cases and scenarios based on specifications.
• Solid knowledge of SDLC and agile techniques.

Knowledge of current technology and trends

• Logical thinking and problem‑solving abilities, as well as the capacity to collaborate.

Primary skills

Cloud Platform, Azure, Databricks, ADF, ADO

Advantageous

SQL, Python, PowerBI

General Knowledge

PowerApps, Java / Spark, Reltio

Other Experience

3-5 years of experience in software development with minimum 2 years of cloud computing.

Power BI Experience

Proven experience in building BI‑ready datasets and performance tuning in Power BI.

Technical Proficiency

Proficient in SQL, Python, and cloud‑native architecture.

Security and Compliance

Strong grasp of data security, privacy compliance, and best practices in a regulated environment.