At a Glance
- Tasks: Design and develop high-performance big data applications in a dynamic cloud environment.
- Company: Join Data Reply, a leader in analytics and data processing services.
- Benefits: Full-time role with opportunities for growth and professional development.
- Other info: Embrace diversity and enjoy a supportive workplace culture.
- Why this job: Make an impact by working with cutting-edge technologies and complex data sets.
- Qualifications: Bachelor’s degree in Computer Science and experience with SQL and Python required.
The predicted salary is between 28800 - 48000 £ per year.
Overview of the Data Engineer role at Data Reply in London. You will design and develop high-performance big data applications, manage complex data sets, and work across the full development lifecycle.
Responsibilities
- Translate functional requirements into technical requirements as a big data consultant.
- Design and develop high performing, end-to-end big data applications to process large volumes of data (batch and real-time) in a multi-tenancy cloud environment.
- Develop and implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets.
- Participate in all aspects of development - design, development, build, deployment, monitoring and operations.
- Research and experiment with emerging technologies and industry trends to bring business value through early adoption.
About the candidate
- A minimum Bachelor’s degree in Computer Science or related IT discipline.
- 1-2 years’ experience with big data projects using SQL and Python.
- Experience with AWS and Databricks.
- Excellent communication skills with the ability to articulate complex information to varied audiences.
- Strong interest in pursuing a specialist career path as a Big Data Engineer.
- Solid understanding of Python concepts for data engineering (e.g., Pandas, NumPy, JSON, file handling).
- Understanding of AWS cloud environments (S3, Lambda, RDS, AWS CDK or Terraform, DynamoDB).
- Flexibility regarding local business travel.
About Data Reply
Data Reply is the Reply Group company offering analytics and data processing services across industries, helping clients build data strategies and realise the value of their data. We provide bespoke solutions and in-house training to ensure clients realise the full value of their big data solutions. Reply is an Equal Opportunities Employer and is committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type. We also support reasonable adjustments in the recruitment process.
Seniority level: Associate
Employment type: Full-time
Job function: Consulting, Information Technology, and Engineering
Industries: IT Services and IT Consulting, Business Consulting and Services, Software Development
Data Engineer employer: Reply
At Reply, we pride ourselves on being an excellent employer, offering a dynamic work environment that fosters innovation and collaboration. Our vibrant culture encourages continuous learning and professional growth, with diverse projects that challenge and inspire our team members. Located in a thriving tech hub, we provide unique opportunities to work with cutting-edge technologies while enjoying a supportive atmosphere that values creativity and teamwork.
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 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 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 Reply.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at 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 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 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 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 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.
