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- Tasks: Design and develop high-performance big data applications using SQL, AWS, and Databricks.
- Company: Join a vibrant tech company focused on innovation and collaboration.
- Benefits: Extensive training, structured career progression, and opportunities to work with leading brands.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: Bachelor's degree in Computer Science and 1-2 years of big data project experience.
- Other info: Embrace diversity and enjoy a supportive workplace culture.
The predicted salary is between 28800 - 48000 £ per year.
As a Data Engineer joining our Data Reply team in London, you will design and develop high-performance big data applications, manage complex data sets, and work across the full development lifecycle. You’ll work across a variety of projects as a consultant using big data technologies such as SQL, AWS and Databricks to add business value and collaborate with global clients. The role offers extensive training, structured career progression, and opportunities to work with leading brands in a vibrant, technology-driven environment.
Responsibilities
- Translate functional requirements into technical requirements.
- Design and develop high performing and stable end-to-end big data applications to perform complex processing of batch and real-time massive volumes of data in a multi-tenancy cloud environment.
- Develop and implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets.
- Be involved in all aspects of development - design, development, build, deployment, monitoring and operations.
- Research and experiment with emerging technologies and industry trends with a view to bringing business value through early adoption.
About the candidate
- A minimum Bachelor’s degree is required in Computer Science or in a directly related IT discipline.
- At least 1-2 years’ experience with handling big data projects using SQL and Python, ETL/ELT, Data warehousing Concepts.
- Demonstrate tangible experience using AWS and/or Databricks.
- Excellent communication skills: an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences.
- A passion for technology and a strong interest in pursuing a specialist career path as a Data Engineer.
- A strong understanding of key Python concepts related to data engineering (e.g. Pandas, numpy, Python file handling, JSON).
- Possess solid understanding of AWS cloud environments, including S3, LAMBDA, RDS, AWS CDK or Terraform, Dynamo DB.
- Have researched leveraging Agentic AI to stream the data engineering lifecycle.
- Flexibility regarding local business travelling.
Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
DATA ENGINEER employer: Reply, Inc.
Contact Detail:
Reply, Inc. 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 Data Engineers on LinkedIn or at meetups. Ask them about their experiences and any tips they might have for landing a role like this.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, AWS, and Databricks. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with big data technologies and how you've tackled challenges in past projects.
✨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!
We think you need these skills to ace DATA ENGINEER
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, AWS, and Databricks, and don’t forget to showcase any big data projects you've worked on. We want to see how your skills align with what we’re looking for!
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 background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to mention them in your application. Whether it’s a university project or something from a previous job, we want to see how you’ve applied your skills in real-world scenarios. It’s all about demonstrating your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at Reply, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the big data technologies mentioned in the job description, like SQL, AWS, and Databricks. Brush up on your knowledge of Python, especially libraries like Pandas and NumPy, as they’ll likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've handled big data. Be ready to explain your role, the challenges you faced, and how you used tools for data acquisition and transformation. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. You might be asked to present your ideas or solutions, so being able to articulate your thoughts clearly will set you apart.
✨Stay Updated on Trends
Research emerging technologies and industry trends related to data engineering. Being able to discuss how you can leverage new tools or methodologies to add business value will show your passion for technology and your proactive approach to learning.
