At a Glance
- Tasks: Build scalable data pipelines and create impactful insights using Azure Databricks.
- Company: A forward-thinking insurance company investing in a robust data platform.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team focused on quality data and innovative solutions.
- Why this job: Own the data platform and influence architecture in a dynamic environment.
- Qualifications: Strong SQL, Python/PySpark skills, and Azure experience required.
The predicted salary is between 65000 - 75000 £ per year.
Are you a Data Engineer who wants to own a platform end to end, not just maintain it? I'm working with a regulated business in the insurance sector who are investing seriously in their data platform. They need someone who can take data from raw ingestion through to insights that actually drive decisions.
What you'll be working on:
- Building scalable data pipelines using Apache Spark in Azure Databricks
- Designing and maintaining ADF-based ingestion workflows across multiple sources
- Creating semantic models and Power BI dashboards for business stakeholders
- Contributing to Lakehouse architecture and supporting ML pipeline integration
- Working in an Agile/DevOps environment with CI/CD practices
You'll be a great fit if you have:
- Strong SQL and Python/PySpark skills
- Hands-on Azure experience - Databricks, Data Factory, Data Lake
- Comfort working in a regulated environment where data quality matters
- Power BI experience
Nice to have:
- Real-time streaming experience (Kafka/EventHub)
- Azure Data Engineer certifications
- Experience with unstructured data
The role: Basingstoke, hybrid (one day per week on site) | £65,000-£75,000 | Permanent
If you want genuine influence over data architecture at a business that's building properly, not firefighting legacy issues, get in touch.
Senior Data Engineer in Southampton employer: HartleyCo
Join a forward-thinking company in the insurance sector that prioritises innovation and employee development. With a hybrid work model based in Basingstoke, you'll enjoy a collaborative culture that encourages ownership of projects and offers opportunities for professional growth. Benefit from working on cutting-edge data solutions while contributing to meaningful insights that drive business decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Power BI. 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 Agile and DevOps practices. Be ready to discuss how you've implemented CI/CD in your past roles. We want to see that you can hit the ground running in a fast-paced environment!
✨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 Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL, Python, and Azure experience prominently, as these are key for the Senior Data Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our platform. Share specific examples of your past work with data pipelines and analytics.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, include them in your application. We love seeing real-world applications of your skills, especially in Azure Databricks and Power BI.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at HartleyCo
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and PySpark skills. Be ready to discuss how you've used these technologies in past projects, especially in building data pipelines or working with Azure Databricks.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in a regulated environment. Think about specific instances where your work directly influenced data quality or decision-making processes.
✨Familiarise Yourself with the Company’s Data Needs
Research the company’s current data platform and any recent developments in their data strategy. This will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data ingestion or pipeline design. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and approach to real-world scenarios.
