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For Companies At a Glance
- Tasks: Build and optimise data pipelines for real-time data accessibility across the company.
- Company: Join a forward-thinking tech company revolutionising data movement.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Make a real impact by transforming how data is used in businesses.
- Qualifications: Experience in SQL and Python; strong collaboration skills required.
- Other info: Dynamic team environment with global collaboration and career advancement opportunities.
The predicted salary is between 58400 - 60480 £ per year.
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform.
About The Role
As a Data Engineer in the Data team you will take on big data challenges in an agile way. You will build data pipelines that enable data analysts, data scientists, operation teams and stakeholders across the wider business to make data accessible to the entire company. You are encouraged to think out of the box and utilize the latest technologies. Successful candidates must demonstrate strong technical capabilities, a can-do attitude and the flexibility to work seamlessly with stakeholders and team members located across different international time zones.
What You Will Do
- Design, construct, and deploy highly efficient and reliable data pipelines that seamlessly transfer data across various platforms, including Data Warehouses and real-time systems.
- Develop deep expertise in these data pipelines and manage their Service Level Agreements (SLAs) to ensure optimal performance.
- Optimize data ingestion, transformation, and storage for performance, reliability and scalability.
- Collaborate with Data Analysts, Data Scientists and business stakeholders to create internal data products aimed at boosting operational efficiencies across the organization.
- Implement data quality, observability and governance best practices.
What You Will Bring
- Up to 5 years of experience including internship within a technology company.
- Bachelors or Masters degree in Computer Science, Information Technology or a related field.
- Competent in SQL and Python.
- Can implement advanced data manipulation and build highly reliable data ingestion pipelines from scratch.
- Proven ability & demonstrated flexibility to collaborate effectively with distributed teams and stakeholders across global time zones.
- Exposure to cloud computing platforms (AWS, GCP, or Azure) and infrastructure as code.
- Communicate clearly, especially to technical audience effectively, both verbally and in writing.
- The ability to adapt to new situations and learn quickly is valuable in a fast-paced work environment.
- Able to collaborate and work well with others can contribute to a positive work environment.
- Can manage their time effectively and prioritize tasks is more likely to be productive and efficient.
Ready to build what’s next? Let’s get in motion.
Come As You Are
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible. We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
Data Engineer employer: Confluent
Contact Detail:
Confluent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Confluent or similar companies on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Data Engineer. You never know who might put in a good word for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. Use GitHub or a personal website to demonstrate your technical capabilities in SQL and Python. This will give you an edge and show that you can walk the walk, not just talk the talk.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Expect to tackle real-world data challenges during the interview process. Practice explaining your thought process clearly, especially when discussing technical concepts, as communication is key in collaborative environments.
✨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, it shows you’re genuinely interested in being part of the Confluent team. Let’s get you moving towards that dream job!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data engineering shine through! Share specific examples of projects or experiences that highlight your skills and passion for building data pipelines. We love seeing candidates who are genuinely excited about what they do.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight relevant experience with SQL, Python, and any cloud platforms you've worked with. We want to see how your background aligns with our mission of making data accessible and efficient!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your technical skills and experiences. We appreciate candidates who can communicate effectively, especially when it comes to complex topics like data manipulation and pipeline construction.
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 ensure you’re considered for the role. Plus, it shows you’re keen on joining our team at Confluent!
How to prepare for a job interview at Confluent
✨Know Your Data Pipelines
Make sure you understand the ins and outs of data pipelines, especially how to design and deploy them. Brush up on your SQL and Python skills, as these will be crucial in demonstrating your technical capabilities during the interview.
✨Show Your Collaborative Spirit
Confluent values teamwork, so be ready to discuss examples of how you've worked effectively with distributed teams. Highlight any experiences where you’ve collaborated across different time zones or with diverse stakeholders to solve problems.
✨Think Outside the Box
Prepare to showcase your innovative thinking. Be ready to discuss how you've approached big data challenges creatively in the past, and think about how you can apply that mindset to Confluent's mission of keeping data in motion.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical audiences, so think about how you can convey your ideas clearly and concisely during the interview.
