At a Glance
- Tasks: Lead the design and development of enterprise-grade data solutions using Azure Data Services.
- Company: Join a forward-thinking tech company focused on innovative data engineering.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career advancement and learning.
- Why this job: Make a real impact in healthcare analytics with cutting-edge technology.
- Qualifications: Strong experience in Azure Data Factory, Databricks, and programming skills in PySpark and SQL.
The predicted salary is between 60000 - 80000 £ per year.
As an Azure & Microsoft Fabric Lead Developer, you will lead the design and development of enterprise‑grade data pipelines, lakehouses, and analytics solutions using Azure Data Services and Microsoft Fabric for client programs. You will be responsible for building scalable ingestion, transformation, governance, and reporting layers aligned to client standards, workforce analytics requirements, and Trust‑level data governance.
You will collaborate closely with architects, SMEs, BI developers, data engineers, platform teams, and external partners (Microsoft) to ensure high‑quality delivery of modern analytics platforms.
Required- Strong hands‑on expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL, Synapse.
- Proven experience designing and developing solutions using Microsoft Fabric:
- Lakehouse
- Data Pipelines
- Dataflows Gen2
- Warehouse (SQL Endpoint)
- OneLake governance
- Ability to translate business requirements into technical architecture and detailed design.
- Expertise in building scalable ingestion frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines.
- Strong programming skills in PySpark, SQL, Python.
- Experience implementing medallion architecture, delta lakes, and metadata‑driven pipelines.
- Hands‑on experience with DQ frameworks, validation rules and reconciliation logic.
- Ability to integrate Azure/Fabric datasets with Power BI semantic models and dashboards.
- Experience building reusable datasets for client domains such as HR, Payroll, Workforce, Clinical, or Operational reporting.
- Experience with CI/CD using Azure DevOps (Repos, Pipelines, Release Management).
- Ability to work with data architects, platform teams and product owners to deliver high‑quality designs.
- Experience delivering technology programs within healthcare organizations in Data.
- Experience delivering analytics in Microsoft Fabric for enterprise‑scale healthcare clients.
- Experience with Fabric Admin Center, OneSecurity model, capacity planning.
- DP‑203 (Azure Data Engineer)
- Fabric Analytics Engineer Associate
- Azure Solutions Architect / Databricks certifications
- Exposure to secure landing zones, data masking, PII handling, and access governance.
Senior Consultant_ Data Engineer in Wakefield employer: Fairygodboss
At Infosys, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Consultant Data Engineer in Leeds, you will not only engage in cutting-edge projects but also benefit from competitive compensation, comprehensive training programmes, and ample opportunities for professional growth within the rapidly evolving field of data engineering. Join us to be part of a collaborative team that values innovation and supports your career aspirations while making a meaningful impact in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant_ Data Engineer in Wakefield
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure and Microsoft Fabric. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Azure Data Services and Microsoft Fabric. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data engineering and Azure technologies. Practice explaining your past projects and how they align with the role you're applying for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Senior Consultant_ Data Engineer in Wakefield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Consultant Data Engineer. Highlight your hands-on experience with Azure Data Services and Microsoft Fabric, as well as any relevant projects you've worked on that showcase your skills in building data pipelines and analytics solutions.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Be specific about your experience with Azure Data Factory, Databricks, and SQL. Mention any programming languages you’re proficient in, like PySpark or Python, and how you've used them in past projects.
Highlight Collaboration Experience:Since this role involves working closely with various teams, make sure to highlight your collaboration skills. Share examples of how you've worked with architects, BI developers, or external partners to deliver high-quality analytics platforms.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Fairygodboss
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Data Factory, Databricks, and all the other tools mentioned in the job description. Brush up on your PySpark and SQL skills, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you had to design scalable ingestion frameworks or implement medallion architecture, and be ready to explain your thought process.
✨Understand the Business Context
It’s crucial to translate technical jargon into business value. Be prepared to discuss how your work aligns with client standards and workforce analytics requirements. This shows that you can bridge the gap between tech and business needs.
✨Collaborate Like a Pro
Since this role involves working closely with various teams, highlight your experience in collaboration. Share examples of how you’ve worked with architects, BI developers, or external partners like Microsoft to deliver high-quality solutions.
