Data Engineer
| Posting date: | 12 April 2024 |
|---|---|
| Hours: | Full time |
| Closing date: | 10 May 2024 |
| Location: | London, UK |
| Remote working: | Hybrid - work remotely up to 4 days per week |
| Company: | Royal Pharmaceutical Society |
| Job type: | Permanent |
| Job reference: |
Summary
Salary: up to £52,000 per annum
Are you a Data Engineer with experience and a desire for new challenges? Do you excel in designing, building, maintaining, and troubleshooting data systems and infrastructure? If this rings true for you, an exciting opportunity awaits at RPS!
In the role of Data Engineer, you will be a key member of our Technology team, with your primary responsibility being the development and maintenance of data pipelines. These pipelines move data from various sources into our centralised data platform. This crucial role will offer you the opportunity to significantly enhance the volume and quality of insights generated and actioned.
Your invaluable contributions will empower data analysts, data scientists, and other PhP stakeholders, enabling them to extract valuable insights from our data.
Requirements:
Strong programming skills in Python.
Experience in building data pipelines, complex ETL, and managing large data migration projects.
Familiarity with AWS (Redshift, Lambda, DynamoDB, S3 etc.).
Good communication skills.
Understanding of common approaches to data analysis, machine learning, and data visualisation.
Familiarity with different data architectures (e.g., Data Lake, Data Mesh, Data Warehouse, streaming, batch processing).
Hands-on experience with relational and NoSQL databases.
Experience with big data concepts for storing and processing large data volumes.
Understanding of information security and data governance.
Proven ability to deliver projects on time, with an emphasis on quality.
The Directorate
This role will work closely with the Head of Data Science, Data Scientists, Data Engineers, Delivery Lead, Data Quality Manager, Lead Architect, Software Developers and Chief Technology Officer.
The Team
As well as the above teams, you will be working across the organisation. We are welcoming someone who sees opportunities, is proactive and wanting to make a difference to the way we work and the way we support our members.
How we are currently working
RPS supports and works in a hybrid way, which means you will be able to work from home, however, there will be an expectation for collaborative face-to-face working – on average and typically this may be something between 4-8 working days per month at our London Office.
Closing date: 10 May 2024
If you would like to learn more about the role, please view our careers page.
We are passionate about creating a culture of belonging, inclusion, and diversity these are part of our core values at RPS and we are striving to have an organisation that represents the diversity of the profession. At RPS we do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender, age, or disability and we encourage applications from all backgrounds.
Are you a Data Engineer with experience and a desire for new challenges? Do you excel in designing, building, maintaining, and troubleshooting data systems and infrastructure? If this rings true for you, an exciting opportunity awaits at RPS!
In the role of Data Engineer, you will be a key member of our Technology team, with your primary responsibility being the development and maintenance of data pipelines. These pipelines move data from various sources into our centralised data platform. This crucial role will offer you the opportunity to significantly enhance the volume and quality of insights generated and actioned.
Your invaluable contributions will empower data analysts, data scientists, and other PhP stakeholders, enabling them to extract valuable insights from our data.
Requirements:
Strong programming skills in Python.
Experience in building data pipelines, complex ETL, and managing large data migration projects.
Familiarity with AWS (Redshift, Lambda, DynamoDB, S3 etc.).
Good communication skills.
Understanding of common approaches to data analysis, machine learning, and data visualisation.
Familiarity with different data architectures (e.g., Data Lake, Data Mesh, Data Warehouse, streaming, batch processing).
Hands-on experience with relational and NoSQL databases.
Experience with big data concepts for storing and processing large data volumes.
Understanding of information security and data governance.
Proven ability to deliver projects on time, with an emphasis on quality.
The Directorate
This role will work closely with the Head of Data Science, Data Scientists, Data Engineers, Delivery Lead, Data Quality Manager, Lead Architect, Software Developers and Chief Technology Officer.
The Team
As well as the above teams, you will be working across the organisation. We are welcoming someone who sees opportunities, is proactive and wanting to make a difference to the way we work and the way we support our members.
How we are currently working
RPS supports and works in a hybrid way, which means you will be able to work from home, however, there will be an expectation for collaborative face-to-face working – on average and typically this may be something between 4-8 working days per month at our London Office.
Closing date: 10 May 2024
If you would like to learn more about the role, please view our careers page.
We are passionate about creating a culture of belonging, inclusion, and diversity these are part of our core values at RPS and we are striving to have an organisation that represents the diversity of the profession. At RPS we do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender, age, or disability and we encourage applications from all backgrounds.
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.