Data Engineer

Data Engineer

Slough Full-Time 36000 - 60000 ยฃ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and optimise data pipelines using cutting-edge tools on Google Cloud.
  • Company: GSK is a global healthcare leader dedicated to improving lives through innovative science and technology.
  • Benefits: Enjoy a collaborative culture, opportunities for growth, and the chance to impact global health.
  • Why this job: Join us in revolutionising healthcare with AI and Machine Learning to tackle diseases head-on.
  • Qualifications: 2+ years of data engineering experience; strong skills in Python, SQL, and cloud technologies required.
  • Other info: Passion for continuous learning and a desire to make a difference in healthcare are essential.

The predicted salary is between 36000 - 60000 ยฃ per year.

Overview

GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together.

Position Summary

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. Weโ€™re looking for a highly skilled Backend Engineer to help us make this vision a reality.

The ideal candidate will have a track record of shipping data products derived from complex sources, responsible for the process from conceptual data pipelines to production scale. We have a commitment to quality, so the person in this role will be able to use modern cloud tooling and techniques to deliver reliable data pipelines and continuously improve them.

This role requires a passion for solving challenging problems aligned to exciting Artificial Intelligence and Machine Learning applications. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory.

Key Responsibilities

  • Build data pipelines using modern data engineering tools on Google Cloud: Python, Spark, SQL, BigQuery, Cloud Storage.
  • Ensure data pipelines meet the specific scientific needs of data consuming applications.
  • Responsible for high quality software implementations according to best practices, including automated test suites and documentation..
  • Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them.
  • Participate in code reviews, continuously improving personal standards as well as the wider team and product.
  • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products.

Minimum Requirements

  • 2+ years of data engineering experience with a Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience.
  • Cloud experience (e.g. Google Cloud preferred).
  • Strong skills with industry experience in Python and SQL.
  • Unit testing experience (e.g. pytest).
  • Knowledge of agile practices and able to perform in agile software development environments.
  • Strong experience with modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment).

Preferred Requirements

  • Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience.
  • Bioinformatics expertise, familiarity with large scale bioinformatics datasets.
  • Experience using Nextflow pipelines.
  • Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval.
  • Familiarity with orchestration tooling (e.g. Airflow or Google Workflows).
  • Experience with AI/ML powered applications.
  • Experience with Docker or containerized applications.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose โ€“ to unite science, technology and talent to get ahead of disease together โ€“ so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns โ€“ as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, itโ€™s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves โ€“ feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Inclusion at GSK

GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

If you need any adjustments in the recruitment process, please get in touch with our Recruitment team (EMEA-GSKLink@allegisglobalsolutions.com) to further discuss this today.

Important notice to employment businesses/agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK\’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSKโ€™s compliance to all federal and state US Transparency requirements. For more information, please visit GSKโ€™s Transparency Reporting For the Record site.

Data Engineer employer: Allegis Global Solutions

At GSK, we are committed to fostering a dynamic and inclusive work environment where innovation thrives. As a Data Engineer, you will have the opportunity to work at the forefront of healthcare technology, contributing to groundbreaking advancements that impact billions of lives. With a strong focus on employee growth, collaboration, and well-being, GSK offers a unique chance to be part of a mission-driven team dedicated to uniting science, technology, and talent to get ahead of disease together.
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Contact Detail:

Allegis Global Solutions Recruiting Team

StudySmarter Expert Advice ๐Ÿคซ

We think this is how you could land Data Engineer

โœจTip Number 1

Familiarise yourself with GSK's mission and values. Understanding their commitment to integrating science, technology, and talent will help you align your passion for data engineering with their goals, making you a more compelling candidate.

โœจTip Number 2

Showcase your experience with cloud technologies, particularly Google Cloud. Highlight any projects where you've built data pipelines or worked with tools like BigQuery and Cloud Storage, as this is crucial for the role.

โœจTip Number 3

Engage with the data engineering community online. Participate in forums or groups related to Python, SQL, and machine learning. This not only helps you stay updated but also allows you to network with professionals who might have insights into GSK's hiring process.

โœจTip Number 4

Prepare to discuss your problem-solving skills in relation to AI and machine learning applications. GSK values candidates who can demonstrate a passion for tackling complex challenges, so be ready to share relevant experiences during interviews.

We think you need these skills to ace Data Engineer

Data Pipeline Development
Python Programming
SQL Proficiency
Google Cloud Platform
BigQuery
Spark
Unit Testing (e.g. pytest)
Agile Methodologies
Version Control (e.g. Git, GitHub)
DevOps Practices
Bioinformatics Knowledge
Experience with Nextflow Pipelines
NLP Techniques
Processing Unstructured Data
Orchestration Tools (e.g. Airflow, Google Workflows)
Containerization (e.g. Docker)

Some tips for your application ๐Ÿซก

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with tools like Python, SQL, and Google Cloud. Emphasise any projects where you've built data pipelines or worked with scientific data.

Craft a Compelling Cover Letter: In your cover letter, express your passion for using data to improve healthcare outcomes. Mention specific examples of how your skills align with GSK's mission and the role's responsibilities.

Showcase Continuous Learning: GSK values continuous learning and development. Include any recent courses, certifications, or projects that demonstrate your commitment to staying updated in data engineering and AI/ML applications.

Highlight Team Collaboration: Since the role involves liaising with other technical staff, mention experiences where you've successfully collaborated in teams. This could include code reviews, agile practices, or cross-functional projects.

How to prepare for a job interview at Allegis Global Solutions

โœจShowcase Your Technical Skills

Be prepared to discuss your experience with Python, SQL, and cloud technologies like Google Cloud. Bring examples of data pipelines you've built or worked on, and be ready to explain the challenges you faced and how you overcame them.

โœจUnderstand GSK's Mission

Familiarise yourself with GSK's commitment to healthcare and their focus on using AI and Machine Learning in drug development. This will help you align your answers with their goals and demonstrate your passion for contributing to their mission.

โœจPrepare for Problem-Solving Questions

Expect to tackle technical problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to work through complex issues.

โœจEmphasise Collaboration

GSK values teamwork, so be ready to discuss your experiences working in collaborative environments. Highlight any instances where you liaised with other teams or contributed to group projects, showcasing your ability to communicate effectively.

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