At a Glance
- Tasks: Design and develop high-performance big data applications using SQL, AWS, and Databricks.
- Company: Join Reply, a leading tech company transforming communication and digital media.
- Benefits: Extensive training, structured career progression, and opportunities to work with global clients.
- Other info: Embrace diversity and enjoy a supportive workplace culture.
- Why this job: Make an impact in a vibrant, tech-driven environment while working on exciting projects.
- Qualifications: Bachelor's degree in Computer Science and 1-2 years of big data experience required.
The predicted salary is between 45000 - 55000 £ per year.
Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services.
As a Data Engineer joining our 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.
- 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 communications 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 careers path as a Data Engineer.
- A strong understanding of key Python concepts related to data engineering is needed as a foundation on which to build (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.
DATA ENGINEER employer: Canvas Reply
At Reply, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As an AWS Solutions Architect, you will benefit from continuous professional development opportunities, collaborative teamwork, and the chance to work on cutting-edge cloud technologies in a vibrant UK setting. Join us to make a meaningful impact while enjoying a supportive environment that values creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land DATA ENGINEER
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Canvas Reply!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like DATA ENGINEER at Canvas Reply.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Canvas Reply.
✨Apply Directly through Our Website
When you find a suitable opening like DATA ENGINEER at Canvas Reply, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace DATA ENGINEER
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Canvas Reply, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Canvas Reply. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Canvas Reply
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Canvas Reply!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
