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- Tasks: Design and implement scalable data solutions using Azure, Power BI, and AI technologies.
- Company: Leading UK insurer with a focus on innovation and technology.
- Benefits: Competitive salary, hands-on role, and opportunities for long-term growth.
- Why this job: Join a dynamic team to drive impactful data and AI initiatives in a collaborative environment.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and familiarity with Azure services.
- Other info: Onsite role in Central London with excellent career advancement opportunities.
The predicted salary is between 60000 - 84000 £ per year.
One of the UK’s leading insurers are looking for a Senior Data Engineer with a primary focus on Azure to lead the design and implementation of scalable, enterprise-grade data solutions. This role will play a key part in building real-time and ETL/ELT data pipelines, maintaining and optimising our data warehouse, and delivering advanced analytics through Power BI.
You will also contribute to innovative AI-driven solutions, including the development of AI agents for post-sales call auditing, leveraging OpenAI’s APIs. This is a stand-alone, hands-on role based onsite in Central London, working closely with cross-functional teams to drive data and AI initiatives that directly support business outcomes.
Key Responsibilities- Design and implement scalable, robust real-time data pipelines integrating diverse data sources (APIs, databases, flat files).
- Build, maintain, and optimise a high-performance data warehouse to support reporting, analytics, and AI workloads.
- Develop interactive Power BI dashboards and reports for business stakeholders.
- Design and implement data integration and transformation using Azure Data Factory, Logic Apps, and Azure Functions.
- Use Python and SQL for data wrangling, transformation, and large-scale data analysis.
- Leverage OpenAI APIs to build AI/ML-driven solutions for natural language processing, data enrichment, automation, and post-sales call auditing.
- Collaborate with product managers, analysts, and data scientists to align data strategy with business objectives.
- Monitor and optimise pipeline performance, ensuring data quality, reliability, and consistency.
- Implement best practices for data governance, security, and compliance.
- Proven experience as a Data Engineer or Data Architect.
- Proven experience designing and maintaining ETL/ELT pipelines in complex data environments.
- Strong Python skills for scripting, automation, and data processing.
- Advanced SQL skills across relational and cloud-based data platforms.
- Hands-on experience with Azure services, including: Data Factory, Logic Apps, Azure Functions, Azure Synapse and/or Azure Data Lake.
- Strong experience with Power BI, including data modelling and dashboard development.
- Experience working with OpenAI APIs or similar AI/ML services.
- Solid understanding of data warehousing architectures and best practices.
- Excellent analytical, problem-solving, and communication skills.
- Experience with DevOps and CI/CD pipelines.
- Familiarity with cloud-native data platforms such as Databricks or Microsoft Fabric.
- Understanding of data privacy regulations (e.g. GDPR) and secure data handling practices.
If you’re looking for a Data Engineering position that will allow you to take ownership with the opportunity for further long term growth then APPLY NOW!
Senior Data Engineer – Azure in City of London employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Azure in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Azure, Power BI, and AI solutions. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in building ETL pipelines or optimising data warehouses. We want to see your problem-solving skills in action!
✨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 about their job search.
We think you need these skills to ace Senior Data Engineer – Azure in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills: Since this role focuses on Azure and data pipelines, make sure to mention your proficiency in Python, SQL, and any Azure services you've worked with. We’re keen to see your hands-on experience and problem-solving abilities!
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!
How to prepare for a job interview at Fynity
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around Data Factory, Logic Apps, and Azure Functions. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of the platform.
✨Showcase Your ETL/ELT Expertise
Prepare to talk about your experience designing and maintaining ETL/ELT pipelines. Have specific examples ready that highlight your problem-solving skills and how you've optimised data workflows in complex environments.
✨Demonstrate Your Power BI Skills
Since you'll be developing dashboards for stakeholders, be prepared to discuss your experience with Power BI. Bring examples of dashboards you've created and be ready to explain the thought process behind your data modelling choices.
✨Get Familiar with AI and OpenAI APIs
As this role involves innovative AI-driven solutions, make sure you understand how to leverage OpenAI APIs. Be ready to discuss any relevant projects where you've implemented AI/ML solutions, showcasing your ability to integrate advanced technologies into data engineering.
