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- Tasks: Design and maintain data pipelines, ensuring quality and compliance in a dynamic environment.
- Company: Join a leading pharmaceutical software house known for innovation and collaboration.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and professional development opportunities.
- Why this job: Be part of exciting projects that impact healthcare while working with cutting-edge technologies.
- Qualifications: 3+ years in data roles, experience with ETL processes, and cloud technologies like Azure.
- Other info: Remote work available; applicants must be UK-based with the right to work.
The predicted salary is between 36000 - 66000 £ per year.
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.
If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you.
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.
- 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.
- 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 Rishi Chudasama at Noir.
Data Engineer employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks, Azure Data Factory, and Python. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Network with professionals in the pharmaceutical industry or data engineering field. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data pipelines in detail during interviews. Be ready to share specific examples of how you've improved data quality and compliance in previous roles.
✨Tip Number 4
Showcase your understanding of regulatory standards and data security best practices. This is crucial in the pharmaceutical industry, so be prepared to discuss how you’ve ensured compliance in past projects.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies mentioned in the job description like Databricks, Python, and Azure. Use specific examples to demonstrate your skills in developing data pipelines and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and the pharmaceutical industry. Mention how your experience aligns with the key responsibilities of the role and express your enthusiasm for contributing to innovative projects.
Highlight Relevant Skills: In your application, emphasise your experience with cloud-native technologies, data security best practices, and working in cross-functional teams. Make sure to include any experience with Agile methodologies and regulatory compliance, as these are crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is essential for a Data Engineer role.
How to prepare for a job interview at Noir
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks, Python, and Azure. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering, particularly in optimising ETL processes or ensuring data quality. Highlight your ability to drive continuous improvement and compliance with regulatory standards.
✨Demonstrate Collaboration Experience
Since the role involves working in cross-functional teams, be ready to share experiences where you collaborated effectively with others. Discuss how you defined solutions and requirements together, and how you contributed to a team environment.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, database management, and cloud technologies. Brush up on your knowledge of SQL Server, Azure Data Factory, and any relevant data security best practices to confidently answer these queries.
