At a Glance
- Tasks: Own production pipelines and tackle data challenges with innovative solutions.
- Company: Join IWSR, a leading data-driven company in Central London.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
- Other info: Dynamic team environment with opportunities for career advancement.
- Why this job: Make a real impact by transforming data processes and collaborating with stakeholders.
- Qualifications: 5-7 years in data engineering, strong Python and SQL skills, Databricks familiarity.
The predicted salary is between 60000 - 80000 £ per year.
IWSR seeks a Senior Data Engineer in Central London (hybrid, 3 days in office) to take ownership of production-critical systems. You'll manage the data ingestion pipeline, migrate Excel processes to Python, and work closely with stakeholders to solve data challenges.
The ideal candidate has 5–7 years in data engineering, solid Python and SQL Server experience, and is familiar with Databricks. We value problem-solving skills and the ability to navigate messy systems.
Senior Data Engineer: Own Production Pipelines & Databricks employer: IWSR
IWSR is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Central London. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to work on impactful projects that shape the future of data engineering. Our hybrid work model promotes a healthy work-life balance, making IWSR a rewarding place to advance your career while enjoying the vibrant city life.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Own Production Pipelines & Databricks
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Python 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 data ingestion pipelines or migrating processes to Python. 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 problem-solving scenarios. Think of examples where you've tackled messy data systems or improved production pipelines. We want to hear how you’ve made an impact in your previous roles!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer: Own Production Pipelines & Databricks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering, especially in Python and SQL Server. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 problem-solving skills can help us tackle our data challenges. Keep it engaging and personal.
Showcase Your Experience with Databricks:If you've worked with Databricks, make sure to mention it! We’re looking for someone who can hit the ground running, so any specific examples of how you’ve used Databricks in past roles will definitely catch our eye.
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 – just follow the prompts!
How to prepare for a job interview at IWSR
✨Know Your Data Inside Out
Make sure you’re well-versed in the data ingestion pipeline and how it works. Brush up on your Python and SQL Server skills, as you'll likely be asked to demonstrate your knowledge during the interview. Be prepared to discuss specific projects where you've managed similar systems.
✨Showcase Your Problem-Solving Skills
Since IWSR values problem-solving, think of examples where you've tackled complex data challenges. Prepare a couple of stories that highlight your ability to navigate messy systems and how you’ve successfully resolved issues in the past.
✨Familiarise Yourself with Databricks
If you have experience with Databricks, make sure to highlight it. If not, do some research and understand its key features and benefits. Being able to discuss how you would use Databricks in your role can set you apart from other candidates.
✨Engage with Stakeholders
Since the role involves working closely with stakeholders, think about how you’ve communicated technical concepts to non-technical audiences. Prepare to discuss how you’ve collaborated with different teams to solve data challenges, showcasing your interpersonal skills.
