Mid-Level Data Engineer (Microsoft Fabric) in Stevenage

Mid-Level Data Engineer (Microsoft Fabric) in Stevenage

Stevenage Full-Time 54000 - 66000 £ / year (est.) Home office (partial)
Delphi Care Solutions

At a Glance

  • Tasks: Build scalable data solutions and develop AI products that improve lives.
  • Company: Roda BI, a mission-driven organisation focused on cognitive care.
  • Benefits: Competitive salary, flexible working, 25 days leave, and employee assistance programme.
  • Other info: Join a dynamic team with opportunities for genuine ownership and influence.
  • Why this job: Make a real social impact with cutting-edge Microsoft technologies.
  • Qualifications: Strong SQL, Python, and Microsoft Fabric experience required.

The predicted salary is between 54000 - 66000 £ per year.

  • Description
  • Mid-Level Data Engineer (Microsoft Fabric)
  • £55,000-£70,000 DOE | Hybrid | Flexible Location | Full-Time or Part-Time
  • Build AI That Improves Lives

Most data engineering jobs help organisations sell more.

This one helps them care better.

Roda BI , we're building a cognitive care platform that uses data, AI and decades of care-sector expertise to predict risk, identify issues sooner and help providers improve outcomes for the people they support.

We're looking for a talented

Data Engineer to help build the Microsoft Fabric platform underpinning our next generation of analytics and AI products.

This is an opportunity to work with modern cloud technologies, develop AI expertise and play a meaningful role in a mission-driven organisation using technology to make a genuine difference.

The Role

You'll work closely with senior technical leaders to build and maintain scalable data solutions across Microsoft Fabric, developing the pipelines, transformations and quality controls that power our platform.

You'll be someone who enjoys turning complex requirements into clean, reliable and well-documented solutions, while continuously improving how data is collected, transformed and consumed.

What You'll Need

Essential

  • Strong SQL skills
  • Python and/or Py Spark experience
  • Microsoft Fabric delivery experience
  • ETL/ELT and data pipeline development
  • API integrations
  • Data modelling and transformation expertise
  • Git/source control experience
  • Strong troubleshooting and documentation skills

Desirable

  • Azure AI/Cognitive Services
  • Power BI semantic models
  • Azure Data Lake, Azure SQL and Key Vault
  • Saa S analytics experience
  • Healthcare or social care data
  • Power Automate or automation technologies

Why Join Us?

  • Work on technology with real social impact.
  • Build innovative AI and data products.
  • Gain exposure to cutting-edge Microsoft technologies.
  • Flexible hybrid working.
  • Long-term opportunity with genuine ownership and influence.
  • Competitive salary of

Benefits

  • 25 days annual leave excluding Bank holidays
  • Bright HR
  • Bright Exchange
  • Employee assistance program

If you're passionate about Microsoft Fabric, data engineering and using technology to improve lives, we'd love to hear from you.

Benefits

Mid-Level Data Engineer (Microsoft Fabric) in Stevenage employer: Delphi Care Solutions

Delphi Care Solutions Ltd is an exceptional employer for former and current CQC inspectors, offering a competitive salary and the flexibility of field-based work across various locations including Nottingham, Stevenage, and Preston. Our supportive team culture fosters professional development and provides the unique opportunity to make a tangible impact on health and social care services, driving meaningful improvements while utilising your regulatory expertise in a consultancy role.

Delphi Care Solutions

Contact Details:

Delphi Care Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Mid-Level Data Engineer (Microsoft Fabric) in Stevenage

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Delphi Care Solutions!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Mid-Level Data Engineer (Microsoft Fabric) at Delphi Care Solutions.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Delphi Care Solutions.

Apply Directly through Our Website

When you find a suitable opening like Mid-Level Data Engineer (Microsoft Fabric) at Delphi Care Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Mid-Level Data Engineer (Microsoft Fabric) in Stevenage

SQL
Python
PySpark
Microsoft Fabric
ETL
ELT
Data Pipeline Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Delphi Care Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Delphi Care Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Delphi Care Solutions

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Delphi Care Solutions!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.