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Data Engineer – Leading Pharmaceutical Company – Manchester

Noir Consulting

Manchester

On-site

GBP 45,000 - 55,000

Full time

30+ days ago

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Job summary

An established industry player is on the lookout for a skilled Data Engineer to join their innovative team. This fully remote role offers the chance to work with cutting-edge technologies in the pharmaceutical sector. You will design and optimize data pipelines, ensuring data quality and compliance with regulatory standards. Collaborating with cross-functional teams, you will drive continuous improvement and contribute to exciting projects. If you are passionate about data engineering and eager to make a significant impact in a supportive environment, this opportunity is perfect for you.

Benefits

Hybrid working model
Competitive salary
Professional development opportunities
Collaborative work environment
Pension
Bonus

Qualifications

  • 3+ years of experience developing data pipelines and ETLs.
  • Strong understanding of cloud-native technologies and data security.

Responsibilities

  • Design and maintain data pipelines and ETL processes.
  • Collaborate with teams to define solutions and ensure compliance.

Skills

Data Engineering
ETL Processes
Python
Data Security Best Practices
Agile Methodologies
Collaboration
Cloud Technologies

Education

Degree in a relevant subject
Equivalent professional experience

Tools

Databricks
AWS QuickSight
Azure Data Factory
SQL Server
Atlassian Tools (JIRA, Confluence)

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.

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

NC/RG/DE

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