At a Glance
- Tasks: Design and implement data solutions using Azure technologies and enhance data accessibility.
- Company: Join Reply, a leader in innovative digital solutions across various industries.
- Benefits: Competitive salary, diverse workplace, mentorship opportunities, and career progression.
- Other info: Embrace diversity and enjoy a supportive environment for growth.
- Why this job: Make an impact with cutting-edge tech while collaborating with talented teams.
- Qualifications: Experience in Python, Scala, or SQL and familiarity with Azure services.
The predicted salary is between 63000 - 77000 £ per year.
- Data Engineer
- About
Reply: 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.
Role
Overview: As a Data Engineer, you will design, develop, and implement data solutions using cloud-based services, focusing on Microsoft Azure technologies such as Azure Data Factory, Azure Databricks, Synapse Analytics, and Data Lake Storage.
You will collaborate with clients and internal teams to understand business requirements, troubleshoot data issues, and deliver robust solutions that enhance data accessibility and analytics.
You will also have the opportunity to mentor junior engineers and contribute to the long-term growth of the team.
Career progression towards technical architecture and leadership roles is encouraged.
A background in Python, Scala, or SQL development is preferred.
Responsibilities: Design, develop, and maintain data pipelines using Azure Data Factory and Databricks.
Implement data models and analytics solutions using Synapse Analytics and Data Lake Storage.
Collaborate with clients to understand their data needs and provide tailored solutions.
Develop and optimise ETL/ELT processes to maintain data integrity and performance.
Ensure data solutions are scalable, resilient, and secure.
Troubleshoot and resolve data-related issues efficiently.
Experience in data engineering with Microsoft Azure.
Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
Strong Python, Scala, or SQL development background.
Understanding of data modelling and analytics solutions.
Familiarity with data frameworks (e. g., Knowledge of Dev Ops practices, CI/CD pipelines, and Infrastructure Code (e. g., Exposure to machine learning and AI solutions.
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 prohibits 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.
To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
Data Engineer (AWS, SQL) employer: Reply
Reply is an exceptional employer, offering a dynamic work environment in the heart of central London, where innovation meets collaboration. As a Graduate ICT Infrastructure Engineer, you will benefit from a culture that prioritises professional growth, with opportunities for further certifications and skill enhancement in cutting-edge technologies. With a commitment to diversity and equal opportunities, Reply fosters a supportive atmosphere that encourages employees to thrive while contributing to impactful projects across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS, SQL)
✨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 (AWS, SQL) 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 (AWS, SQL) 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 (AWS, SQL)
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.
