At a Glance
- Tasks: Build scalable data pipelines and create impactful insights using Azure Databricks.
- Company: Join a forward-thinking insurance company investing in their data platform.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work in an Agile/DevOps setting with real-time streaming opportunities.
- 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 Basingstoke employer: HartleyCo
Join a forward-thinking company in the insurance sector that prioritises innovation and data-driven decision-making. With a strong commitment to employee development, you will have the opportunity to shape the data architecture while enjoying a hybrid work model in Basingstoke. The collaborative and agile work culture fosters creativity and growth, making it an ideal environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, especially those who work with data engineering. 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 projects, especially those involving Azure Databricks and data pipelines. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data ingestion and analytics, as well as how you've tackled challenges in a regulated 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 Basingstoke
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your strong SQL, Python/PySpark skills, and any hands-on Azure experience you have. We want to see how you can own a platform end to end!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Mention specific projects where you've built scalable data pipelines or worked in an Agile/DevOps environment.
Showcase Relevant Projects:If you've worked on projects involving Azure Databricks, ADF-based ingestion workflows, or Power BI dashboards, make sure to include them. We love seeing real examples of your work that demonstrate your ability to drive insights from data.
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 it gets into the right hands quickly. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at HartleyCo
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and Azure skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with Databricks. The more you can showcase your hands-on experience, the better!
✨Understand the Business Context
Since this role is in the insurance sector, it’s crucial to understand how data drives decisions in that industry. Research the company’s data strategy and think about how your skills can contribute to their goals. This will show that you’re not just a techie but also a strategic thinker.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems, like designing a data ingestion workflow or creating a Power BI dashboard. Practise explaining your thought process clearly and concisely, as this will demonstrate your problem-solving skills and technical knowledge.
✨Show Your Agile Mindset
Since the role involves working in an Agile/DevOps environment, be prepared to discuss your experience with CI/CD practices. Share examples of how you've collaborated with teams to deliver projects efficiently and how you adapt to changing requirements.
