Data Engineer - Leading Pharmaceutical Company - Manchester

Noir; Manchester; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading pharmaceutical company is seeking a skilled Data Engineer for a hybrid role based in Manchester. You will design and maintain data pipelines and ETL processes while ensuring compliance with regulatory standards. This position offers competitive salary, benefits, and opportunities for professional growth in a collaborative environment.

Benefits

Hybrid working model

Competitive salary and benefits package

Opportunities for professional development

Collaborative and supportive work environment

Qualifications

• 3+ years experience developing data pipelines and ETLs using Microsoft products.
• 1+ years working with cloud technologies.
• Experience in supporting ETLs crucial for production.

Responsibilities

• Design, develop and maintain data pipelines, ETL processes and databases.
• Ensure compliance with regulatory requirements and data integrity.
• Collaborate with teams to define solutions and requirements.

Skills

Data Pipeline Development

ETL Processes

Data Quality

Agile Methodologies

Data Security Best Practices

Education

Degree in a relevant subject

Tools

Azure Data Factory

SQL Server

Databricks

Job description

Data Engineer - Leading Pharmaceutical Company - Manchester

(Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies)

About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects in a collaborative environment.

About the Role: Our client is seeking an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards.

Key Responsibilities:

• Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.
• Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices.
• Collaborate with teams across the business to define solutions, requirements, and testing approaches.
• Assist with process definition, ensuring compliance with organisational processes and regulatory standards.
• Ensure compliance with regulatory requirements and standards and audit readiness.
• Automate and monitor data and data processes, ensuring data quality and integrity.
• Share knowledge and provide guidance on databases and data.
• Maintain up-to-date, accurate, and concise documentation of database configurations and processes.
• Work across the team to deliver best practice infrastructure and infrastructure deployment and management processes.

Essential Skills/Experience:

• A good degree in a relevant subject or equivalent professional experience in a data role.
• At least 3 years' professional experience developing data pipelines and ETLs using Microsoft products.
• Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory.
• Demonstrable experience of delivering technical work within time and budget constraints.
• Good understanding of data security best practices.
• Experience in supporting ETLs or data pipelines crucial to a production system.
• Experience working in a cross-functional team to deliver technical solutions.

Desirable Skills:

• Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL.
• Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep.
• Understanding of DevOps practices and the associated benefits.
• Skill in database testing including unit, performance, stress, and security testing.
• Experience working in an agile team.
• Experience working in a highly regulated industry and with highly sensitive data.
• Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.
• Experience in data science using R, Stata, or Python.
• Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.
• Understanding of clinical trials, GCP, and GxP.

What We Offer:

• Hybrid working model with flexibility between remote and office-based work.
• Competitive salary and benefits package.
• Opportunity to work on innovative projects within the pharmaceutical industry.
• Collaborative and supportive work environment.
• Professional development and career growth opportunities.

Location: Remote Working UK

Salary: £45,000 - £55,000 + Bonus + Pension + Benefits

Applicants must be based in the UK and have the right to work in the UK even though remote work is available.

To apply for this position please send your CV to Matt Jones at Noir.

NOIRUKTECHREC

NOIRUKREC

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