At a Glance
- Tasks: Transform complex data into actionable insights and build robust data pipelines.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and development.
- Why this job: Make a real impact by driving business outcomes through data engineering.
- Qualifications: Around 5 years of experience in data engineering and strong SQL and Python skills.
The predicted salary is between 60000 - 75000 € per year.
Requirements
- This isn't a graduate role, so to succeed you'll need real production experience. But you don't need to have done it all independently yet.
- We're looking for someone with strong foundations who is ready to grow quickly with the right support around them.
- Circa 5 years of experience in data engineering, analytics engineering, or a closely related role, with hands-on exposure to production environments.
- Competency with SQL across multiple database platforms.
- Python proficiency for data manipulation and pipeline work (Pandas, SQLAlchemy).
- Hands-on experience with cloud data warehouses (Snowflake, BigQuery, or Redshift).
- Familiarity with data modelling concepts and ELT/ETL design patterns.
- Clear communicator: comfortable explaining technical concepts to non-technical stakeholders.
- Collaborative and reliable in cross-functional teams.
- Organised enough to manage multiple workstreams without things falling through the cracks.
- Curious and keen to keep developing: data engineering is a fast-moving space.
What the job involves
- We're looking for a Senior Data Engineer who is passionate about turning complex data into actionable insights that drive remarkable results for our clients.
- Technical Impact: Successfully contribute to data and analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients.
- Quality Leadership: Utilise data quality frameworks and testing practices that become standard across our engineering teams.
- Client Relationships: Interact with key technical stakeholders at major clients, becoming a trusted contributor to their data strategy outcomes.
- Innovation Contribution: Research and evaluate new tools, practices, or methodologies that improve our team's efficiency and solution quality.
Senior Data Engineer in London employer: Deepstreamtech
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Engineer, you'll have the opportunity to work with cutting-edge technologies in a supportive environment. Our culture fosters continuous learning and professional growth, ensuring you can develop your skills while making a significant impact on client outcomes. Located in a vibrant area, we offer a dynamic workplace that encourages creativity and teamwork, making it an excellent place for those looking to advance their careers in data engineering.
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 data engineering field and let them know you're on the lookout for opportunities. Attend meetups or webinars related to data engineering to meet potential employers and learn about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud data warehouses. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities that could be perfect for you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your production experience in data engineering or related roles. We want to see how your hands-on work with SQL and Python has shaped your skills, so don’t hold back on those details!
Be Clear and Concise:When explaining your technical skills, remember that clarity is key. We’re looking for someone who can communicate complex concepts simply, so keep your language straightforward and avoid jargon where possible.
Demonstrate Your Curiosity:We love a candidate who's eager to learn! Share examples of how you've kept up with the fast-moving data engineering space and any new tools or methodologies you’ve explored. It shows us you're ready to grow with us.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Deepstreamtech
✨Showcase Your Experience
Make sure to highlight your hands-on experience in data engineering and analytics. Prepare specific examples of projects you've worked on, especially those involving SQL and Python, to demonstrate your technical skills and how they relate to the role.
✨Communicate Clearly
Since you'll be explaining technical concepts to non-technical stakeholders, practice articulating your thoughts clearly. Use simple language to explain complex ideas, and be ready to answer questions that may arise from your explanations.
✨Demonstrate Your Curiosity
Show your passion for continuous learning in the fast-moving data engineering space. Be prepared to discuss recent tools or methodologies you've researched and how they could benefit the company. This will show that you're proactive and eager to grow.
✨Emphasise Collaboration Skills
As a Senior Data Engineer, you'll be working in cross-functional teams. Share examples of how you've successfully collaborated with others in past roles, highlighting your reliability and organisational skills in managing multiple workstreams.
