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 employer: Deepstreamtech
As a Senior Data Engineer at our company, you'll be part of a dynamic and collaborative work culture that prioritises innovation and professional growth. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, ensuring you can thrive in your role while making a significant impact on our clients' data strategies. Located in a vibrant area, our office fosters creativity and teamwork, making it an excellent place to develop your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 new opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨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 potential employers a taste of what you can do and how you can contribute to their team.
✨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 both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’re always looking for passionate individuals who are eager to grow and make an impact. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your real production experience in data engineering or related roles. We want to see how your hands-on exposure has shaped your skills, so don’t hold back on the details!
Be Clear and Concise:When explaining your technical skills, especially with SQL and Python, keep it straightforward. We love clear communicators who can break down complex concepts for non-techies, so show us you can do that!
Demonstrate Your Curiosity:We’re looking for someone who’s eager to learn and grow. Share examples of how you’ve kept up with the fast-moving data engineering space and any new tools or methodologies you’ve explored.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to get your details and ensure you’re considered for this exciting opportunity.
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 complex ideas in simple terms. This will show that you can bridge the gap between technical and non-technical teams, which is crucial for this role.
✨Demonstrate Your Curiosity
Express your eagerness to learn and grow in the fast-moving field of data engineering. Share any recent tools or methodologies you've researched or experimented with, as this shows you're proactive about staying current in the industry.
✨Prepare for Collaboration
Be ready to discuss your experience working in cross-functional teams. Think of examples where you contributed to team success and how you managed multiple workstreams effectively, ensuring nothing fell through the cracks.
