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- Tasks: Lead the transformation of healthcare data into actionable insights using cloud-native pipelines.
- Company: Join a forward-thinking company dedicated to optimising healthcare through data engineering.
- Benefits: Enjoy hybrid or remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration in a mission-critical field.
- Why this job: Make a real difference in patient care by ensuring clean, governed data flows.
- Qualifications: 3+ years in data engineering, expert SQL skills, and proficiency in Python or Scala.
The predicted salary is between 60000 - 80000 £ per year.
Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into actionable insights that drive revenue cycle optimization and clinical outcomes.
Why This Role Matters
Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.
Key Responsibilities
- Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
- Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
- Write and optimize SQL queries for performance across large healthcare datasets
- Implement data governance, quality frameworks, and HIPAA compliance controls
- Collaborate with analytics, data science, and business teams to define data requirements
- Monitor and troubleshoot data pipeline health and performance
- Develop Python or Scala code for complex transformations and data processing
- Support Power BI and analytics teams with data modeling and performance optimization
- Document data lineage, transformations, and technical architecture
Requirements
- 3+ years of professional data engineering or ETL/ELT development experience
- Expert-level SQL skills with proven optimization experience
- Proficiency in Python, Scala, or similar data processing languages
- Hands‑on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
- Understanding of healthcare data standards (HL7, FHIR, claims data structures)
- Strong grasp of data modeling, normalization, and schema design
- Experience with data versioning, CI/CD pipelines, and data quality frameworks
Preferred Qualifications
- Experience with Microsoft Fabric or Azure Data Factory
- Knowledge of HIPAA compliance and healthcare data security
- Background in healthcare, RCM, or claims processing
- Experience with dbt (data build tool) or equivalent transformation frameworks
- Exposure to dimensional modeling and data warehousing best practices
What Success Looks Like
- In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
- In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
- Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance
Data Engineer in Chesterfield employer: Nimble Solutions
Contact Detail:
Nimble Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Chesterfield
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare data engineering space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, especially those using Azure Synapse or Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Python. Be ready to tackle technical questions and coding challenges. Practising with real-world healthcare data scenarios can really help you shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in Chesterfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL/ELT pipelines, SQL skills, and any cloud platforms you've worked with. We want to see how your background aligns with our needs!
Showcase Your Projects: Include specific projects where you've designed or optimised data pipelines. If you've worked with healthcare data, mention it! We love seeing real-world applications of your skills that relate to what we do.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data engineering in healthcare and how you can contribute to our mission. Keep it engaging and personal—let us know who you are!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy—just a few clicks!
How to prepare for a job interview at Nimble Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure Synapse, Databricks, and SQL. Brush up on your ETL/ELT processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering. Think about how you optimised a pipeline or resolved a data quality issue. This will demonstrate your analytical thinking and hands-on experience.
✨Understand Healthcare Data Standards
Familiarise yourself with HL7, FHIR, and claims data structures. Being able to speak knowledgeably about these standards will show that you understand the nuances of healthcare data and its importance in driving clinical outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they measure success in their data engineering team. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.