Data Engineer

PharmaLex; Lutterworth; Remote; GBP 40,000 - 70,000; Full time

Job summary

An innovative firm is seeking a Data Engineer to enhance their data management capabilities. This remote-based role involves designing and maintaining data pipelines, ensuring effective data flow into a central repository. The ideal candidate will collaborate with Data Analysts and Scientists to optimize data quality and automation. With a focus on using Microsoft Azure and MS SQL, this position is perfect for those passionate about data engineering within the healthcare sector. Join a dynamic team where your contributions will significantly impact data-driven decision-making and analytics.

Qualifications

• Experience in healthcare data analytics or data engineering is preferred.
• Familiarity with data pipelines and ETL processes is essential.

Responsibilities

• Design and maintain data pipelines ensuring seamless data flow.
• Collaborate with analysts to optimize data quality and reliability.

Skills

Data Quality Assurance

Creativity & Innovation

Critical Thinking

Impact and Influencing

Prioritization and Organization

Education

Bachelor’s Degree in Statistics

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Information Technology

Tools

Microsoft Azure

MS SQL

Databricks

LogicApps

Data Factory

Power BI

Python

Job description

Pharmalex is looking for a Data Engineer to join their growing team. This will be a remote-based role but there is a requirement to travel to Lutterworth one day of the month.

Your role involves designing, building, and maintaining data pipelines, ensuring seamless data flow into a central Microsoft Azure repository and hosted MS SQL database. Collaborate with Data Analysts and Scientists to optimise data quality, reliability, security, and automation.

Skills & Responsibilities:

• Core responsibility will be using the NHS Secure Data Environment which utilises databricks, to design and extract regular datasets.
• Configure and troubleshoot Microsoft Azure, manage data ingestion using LogicApps and Data Factory.
• Develop ETL scripts using MS SQL, Python, handle web scraping, APIs, and relational databases.
• Familiarity with Power BI (you will not have to use Power BI, but being aware of how to collaborate with people that do is important).
• Work closely with data analysts and scientists, contribute to data models and testing of outputs.

EDUCATIONAL QUALIFICATIONS:

Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience.

WORK EXPERIENCE:

Experience of directly-related or relevant experience, preferably in healthcare data analytics or data engineering.

SKILLS & KNOWLEDGE:

Behavioral Skills:

• Creativity & Innovation
• Critical Thinking
• Impact and Influencing
• Prioritization and Organization

Technical Skills:

• Data Quality Assurance

Seniority level

Associate

Employment type

Full-time

Job function

Pharmaceutical Manufacturing