Data Engineer

JR United Kingdom; Manchester; Hybrid; GBP 45,000 - 75,000; Full time

Job summary

Join a leading pharmaceutical company as a Data Engineer, where you'll play a crucial role in designing and optimizing data pipelines and ETL processes. This hybrid position offers the flexibility to work remotely while contributing to innovative projects that enhance data quality and compliance in the pharmaceutical industry. You'll collaborate with cross-functional teams, ensuring best practices in data management and security. If you have a passion for data and a desire to make a significant impact in a collaborative environment, this opportunity is perfect for you.

Benefits

Hybrid working model

Competitive salary

Professional development opportunities

Collaborative work environment

Qualifications

• 3+ years in data engineering with a focus on ETL and data pipelines.
• Experience in a highly regulated industry with sensitive data.

Responsibilities

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

Skills

Data Engineering

ETL Processes

Python

SQL Server

Azure Data Factory

Data Security Best Practices

Agile Methodologies

Collaboration

Education

Degree in a relevant subject

Tools

Databricks

AWS QuickSight

TSQL

SSIS

Azure SQL

Atlassian Tools (JIRA, Confluence, BitBucket)

Job description

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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.

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.

Minimum requirements:

• 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.
• 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

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.