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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, modern tech tools, and a collaborative culture.
- Why this job: Make a real-world impact while working with cutting-edge data technologies.
- Qualifications: Experience with Salesforce Health Cloud, Informatica, and cloud environments is essential.
- Other info: Ideal for problem-solvers passionate about data analytics and healthcare.
The predicted salary is between 43200 - 72000 £ 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.
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: LinkedIn
Contact Detail:
LinkedIn 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 Salesforce and Informatica. Attend industry meetups or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Gain hands-on experience with AWS services and orchestration tools like Apache Airflow. You can set up personal projects or contribute to open-source initiatives to showcase your skills and practical knowledge.
✨Tip Number 4
Prepare for potential technical interviews by practising troubleshooting scenarios related to SSH and virtual machine environments. Being able to demonstrate your problem-solving skills in real-time will set you apart from other candidates.
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, explain why you're passionate about data engineering in the healthcare sector. Mention your familiarity with AWS and Google Cloud, and how your skills can contribute to the company's mission.
Showcase Relevant Skills: Clearly list your technical skills related to SSH, virtual machine troubleshooting, and orchestration tools like Apache Airflow. Provide context on how you've used these skills in previous roles.
Highlight Collaborative Experience: Emphasise any past experiences where you collaborated with cross-functional teams. This is crucial for the role, so mention specific instances where your teamwork led to successful data operations.
How to prepare for a job interview at LinkedIn
✨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.
✨Familiarity with Cloud Platforms
Make sure to mention your experience with AWS services and any exposure to Google Cloud. Companies are keen on candidates who can navigate multi-cloud environments, so discussing relevant projects will set you apart.
✨Collaboration is Key
This role requires working across various teams, so emphasise your ability to collaborate effectively. Share experiences where you worked with infrastructure, data engineering, or business teams to achieve common goals.