At a Glance
- Tasks: Lead the migration of underwriting data to Azure Cloud Lakehouse and develop scalable data pipelines.
- Company: Dynamic insurance company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data-driven culture.
- Why this job: Join a transformative project and make a real impact in data engineering.
- Qualifications: Experience with Azure Synapse, PySpark, and strong data visualisation skills.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Senior Data Engineer to spearhead the migration of underwriting data from various systems into a robust Azure Cloud Lakehouse. This is a hands-on role, leveraging Azure Synapse Analytics and PySpark, where you'll play a key part in delivering transformative data engineering solutions.
As a Senior Data Engineer, you will:
- Lead the migration of underwriting data from multiple systems into an Azure Cloud Lakehouse environment.
- Utilise PySpark within Azure Synapse Analytics to develop scalable data pipelines and processing frameworks.
- Design and implement robust data engineering solutions, creating a single version of truth for data analytics and reporting.
- Develop self-service reporting capabilities using Power BI, enabling business users to access actionable insights.
- Establish and uphold global standards for data engineering design and delivery within the Microsoft ecosystem.
Key Responsibilities:
- Build, optimise, and maintain data pipelines in Azure Synapse.
- Collaborate with cross-functional teams to ensure seamless integration and transformation of underwriting data.
- Lead the creation of intuitive Power BI reports and dashboards, selecting visualisations that support decision-making.
- Drive the adoption of a data-driven culture across the organisation, enabling data accessibility for all users.
Required Skills & Experience:
- Extensive experience with the Microsoft tech stack, particularly Azure Synapse Analytics, Data Factory, and Databricks.
- Strong programming skills in PySpark, SQL, and familiarity with DAX.
- Proven track record of leading data migration projects, ideally within a lakehouse environment.
- Experience with data visualisation and report development using Power BI.
- Excellent communication, stakeholder management, and problem-solving skills.
Senior Data Engineer in London employer: DATAHEAD
As a leading employer in the insurance sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that encourages knowledge sharing. Located in a vibrant area, our team enjoys a supportive atmosphere where data-driven solutions are at the forefront of our mission, making this an exciting place for a Senior Data Engineer to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering fields. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Azure Synapse Analytics and PySpark. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and PySpark skills. Practice common data engineering problems and be ready to demonstrate your thought process and problem-solving abilities.
✨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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Synapse Analytics and PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or 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 your insurance background makes you a perfect fit for this role. Let us know what excites you about working with us at StudySmarter.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges in data migration or pipeline optimisation. We love seeing how you approach problems and come up with innovative solutions!
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 shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at DATAHEAD
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Synapse Analytics and Data Factory. Be ready to discuss how you've used these tools in past projects, especially in relation to data migration and building data pipelines.
✨Showcase Your PySpark Skills
Prepare to demonstrate your programming prowess in PySpark. Think of specific examples where you've developed scalable data processing frameworks and be ready to explain your thought process and the challenges you faced.
✨Visualisation is Key
Since Power BI will be a big part of the role, come prepared with examples of reports or dashboards you've created. Discuss the visualisations you chose and how they helped drive decision-making within your previous teams.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating complex technical concepts in a way that's easy to understand. Be ready to discuss how you've collaborated with cross-functional teams to achieve project goals.
