Senior Data Engineer

Parexel; Sheffield; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading healthcare consulting firm in the UK is seeking a Senior Data Engineer to architect and optimize data pipelines using Azure, Databricks, and Snowflake. The role involves transforming raw data into actionable insights and establishing data governance controls for compliance. The ideal candidate has 6+ years of experience in data engineering with a strong focus on Azure and hands-on experience in building BI-ready datasets. This is a key position requiring technical mentorship and collaboration with cross-functional teams.

Qualifications

• 6+ years of data engineering experience with 4+ years in Azure, Databricks, and Snowflake.
• Proficient in building BI-ready datasets and performance tuning in Power BI.
• Strong grasp of data security, privacy compliance, and best practices.

Responsibilities

• Architect and implement end-to-end data pipelines using Azure Data Factory.
• Collaborate with BI teams to ensure data models are optimized for reporting.
• Establish data governance and security controls for compliance.

Skills

Azure Data Factory

Databricks

Snowflake

Power BI

SQL

Python

Cloud Platform

Education

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

Tools

PowerApps

Java/Spark

Reltio

Job description

Role Overview

At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by a deep conviction in what we do. 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.

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 – convert high‑level design to low‑level design and implement 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 troubleshoot – 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.

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.
• 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.
• Proficient in SQL, Python, and cloud‑native architecture.
• Strong grasp of data security, privacy compliance, and best practices in a regulated environment.