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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 a collaborative environment with opportunities for professional growth and modern tech exposure.
- Why this job: Make a real-world impact while working with cutting-edge data analytics and infrastructure technologies.
- Qualifications: Experience with Salesforce Health Cloud, Informatica, and cloud environments is essential.
- Other info: Ideal for problem-solvers passionate about data workflows and healthcare outcomes.
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.
Locations
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 Salesforce and Informatica. Attend industry meetups or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Brush up on your SSH skills and virtual machine troubleshooting techniques. Being able to confidently discuss these topics will set you apart as a candidate who is ready to tackle the technical challenges of the role.
✨Tip Number 4
Gain hands-on experience with AWS services and orchestration tools like Apache Airflow. Consider setting up a personal project or contributing to open-source projects to showcase your practical skills in these areas.
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 cloud platforms like 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, especially in infrastructure and data engineering. This will demonstrate your ability to work effectively in a team-oriented environment.
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 virtual machine access and ensuring seamless data flow, be ready to share examples of how you've tackled similar challenges in the past. This will show your analytical thinking and adaptability.
✨Familiarise Yourself with Cloud Platforms
Brush up on your knowledge of AWS services and Google Cloud Platform. Understanding how these platforms interact with data workflows will be crucial, so be prepared to discuss your experience with cloud-based environments.
✨Emphasise Collaboration Skills
This position requires working across various teams, so highlight your ability to collaborate effectively. Share experiences where you worked with infrastructure, data engineering, or business teams to achieve common goals.
