At a Glance
- Tasks: Build and manage data infrastructure, designing ETL/ELT pipelines and leading warehouse evolution.
- Company: Deepstreamtech, a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, career advancement opportunities, and a collaborative work environment.
- Other info: Exciting opportunities for growth into Senior and Staff Data Engineer roles.
- Why this job: Join a dynamic team to drive digitalisation and mentor peers in a data-driven culture.
- Qualifications: Extensive experience in SQL, Python, and strong DevOps skills required.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is seeking a full-stack Data Engineer in Greater London to build and manage the backbone of our data infrastructure. The role involves designing robust ETL/ELT pipelines, leading enterprise data warehouse evolution, and implementing automated testing frameworks.
Ideal candidates have extensive experience in SQL and Python, with strong DevOps skills. You will partner with Product and Engineering teams, mentoring peers while promoting a data-driven culture to drive digitalisation.
Opportunities for career advancement include Senior and Staff Data Engineer positions.
Senior Data Engineer: Enterprise Pipelines & Warehouse in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong focus on employee growth, you will have the opportunity to advance your career through mentorship and collaboration with talented teams, all while contributing to cutting-edge data infrastructure projects. Our commitment to a data-driven culture ensures that your contributions are valued and impactful, making this a rewarding place to develop your skills and achieve your professional goals.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Enterprise Pipelines & Warehouse in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and 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 your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your experience with ETL/ELT pipelines and DevOps.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer: Enterprise Pipelines & Warehouse in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and DevOps skills. We want to see how your background aligns with the role of a Senior Data Engineer, 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 you can contribute to our team at Deepstreamtech. Let us know how you’ve led projects or mentored others in the past.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've designed ETL/ELT pipelines or improved data infrastructure. We love seeing candidates who can think critically and solve complex problems, so share those success stories!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll make sure your application gets into the right hands!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've designed ETL/ELT pipelines or worked with data warehouses. Having concrete examples will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your DevOps Knowledge
Since strong DevOps skills are a must for this role, be prepared to talk about your experience with automation and testing frameworks. Highlight any tools or methodologies you've used, and how they improved your team's workflow. This will demonstrate your ability to contribute to the evolution of their data infrastructure.
✨Emphasise Collaboration
This role involves partnering with Product and Engineering teams, so it's crucial to showcase your teamwork skills. Share examples of how you've successfully collaborated with cross-functional teams in the past, and how you’ve mentored peers. This will illustrate your commitment to fostering a data-driven culture.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals, especially regarding advancement opportunities.
