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- Tasks: Manage data flows and troubleshoot across cloud platforms in a dynamic team.
- Company: Join a mission-driven pharmaceutical business focused on impactful healthcare solutions.
- Benefits: Enjoy flexible work options and the chance to work with cutting-edge technologies.
- Why this job: Make a real-world impact while engaging with modern data analytics and infrastructure.
- Qualifications: Experience with Salesforce Health Cloud, Informatica, and cloud environments is essential.
- Other info: Ideal for problem-solvers who thrive in collaborative, cross-platform environments.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled and adaptable Data engineer with a hybrid background in Salesforce Health Cloud and Informatica to join our analytics and infrastructure team. This role requires a hands-on professional comfortable bridging business intelligence, ETL workflows, and infrastructure-level troubleshooting across cloud platforms.
Project overview: This role supports the OAPI/Pharma business line by managing data integrations between Salesforce Health Cloud and Informatica, ensuring seamless data flow between systems. You’ll troubleshoot virtual machine access via SSH, facilitate migration of outputs into Airflow, and support AWS infrastructure while interfacing with Google Cloud-hosted systems. The position plays a key role in enabling actionable insights and operational stability across complex, cross-platform data ecosystems.
Requirements:
- Strong experience with Salesforce Health Cloud
- Hands-on experience with Informatica PowerCenter or Informatica Cloud
- Solid understanding of data extraction, transformation, and loading (ETL) processes
- Proficiency in SSH and managing/troubleshooting virtual machine environments
- Familiarity with orchestration tools such as Apache Airflow
- Experience with AWS services (e.g., S3, EC2, RDS)
- Understanding of cloud-based environments (Google Cloud Platform experience a plus)
- Ability to collaborate across infrastructure, data engineering, and business teams
- Experience supporting pharmaceutical or life sciences data workflows is a plus
Responsibilities:
- Manage and optimize data flows between Salesforce Health Cloud and Informatica
- Perform infrastructure-level troubleshooting using SSH and virtual machine access
- Ensure high-quality data migration and integration into Airflow-managed pipelines
- Support AWS-based data operations and contribute to multi-cloud data management
- Collaborate with infrastructure and application teams to maintain seamless operations
- Analyze and validate data transformations to support downstream business reporting
- Serve as a key point of contact for troubleshooting across BI, ETL, and cloud systems
Why this position: This role offers a unique opportunity to work at the intersection of data analytics, infrastructure, and healthcare. You’ll engage with modern cloud platforms and ETL technologies while supporting a mission-driven pharmaceutical business. It’s an ideal position for a BI Analyst who enjoys problem-solving across platforms, building resilient data workflows, and making a real-world impact in health-related outcomes.
Data engineer (Salesforce & Informatica experience) employer: Intellias
Contact Detail:
Intellias Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data engineer (Salesforce & Informatica experience)
✨Tip Number 1
Familiarise yourself with Salesforce Health Cloud and Informatica by exploring online resources, tutorials, and forums. This will not only enhance your understanding but also demonstrate your commitment to the role during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those with experience in cloud platforms and ETL processes. Engaging in relevant LinkedIn groups or attending industry meetups can provide valuable insights and connections.
✨Tip Number 3
Brush up on your SSH skills and virtual machine troubleshooting techniques. Being able to confidently discuss these topics in an interview will set you apart as a candidate who is ready to tackle the technical challenges of the role.
✨Tip Number 4
Prepare to discuss your experience with orchestration tools like Apache Airflow and AWS services. Having specific examples of how you've used these technologies in past projects will showcase your hands-on expertise and problem-solving abilities.
We think you need these skills to ace Data engineer (Salesforce & Informatica experience)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Salesforce Health Cloud and Informatica. Use specific examples of projects where you've managed data integrations or optimised ETL workflows.
Craft a Compelling Cover Letter: In your cover letter, emphasise your hands-on experience with cloud platforms and troubleshooting virtual machine environments. Mention how your skills align with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role in managing data flows, using SSH for troubleshooting, or working with orchestration tools like Apache Airflow.
Highlight Collaboration Skills: Since this role requires collaboration across various teams, make sure to mention any experience you have working with infrastructure, data engineering, or business teams. Provide examples of how you contributed to successful outcomes in these collaborations.
How to prepare for a job interview at Intellias
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Salesforce Health Cloud and Informatica. Highlight specific projects where you managed data integrations or optimised ETL processes, as this will demonstrate your technical proficiency.
✨Demonstrate Problem-Solving Abilities
Since the role involves troubleshooting and managing data flows, be ready to share examples of how you've resolved complex issues in previous positions. Discuss your approach to using SSH for virtual machine access and any challenges you faced.
✨Familiarise Yourself with Cloud Platforms
Make sure you understand the basics of AWS services and Google Cloud Platform. Be prepared to discuss how you've used these platforms in past roles, especially in relation to data operations and multi-cloud management.
✨Emphasise Collaboration Skills
This position requires working across various teams, so highlight your experience collaborating with infrastructure, data engineering, and business teams. Share examples of successful teamwork that led to improved data workflows or operational stability.
