At a Glance
- Tasks: Design and build scalable data solutions in a modern AWS environment.
- Company: Global tech business focused on innovation and customer experience.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with strong support for career advancement.
- Why this job: Join a dynamic team and work with cutting-edge technologies to make an impact.
- Qualifications: Experience with AWS, Python, SQL, and data pipeline development.
The predicted salary is between 70000 - 90000 £ per year.
Manchester, 2 days per week
Millions of customers. One proprietary platform. Infinite possibilities. This global technology business has just completed a massive migration to their own platform, and now, the stage is set for scale, innovation, and speed. Products are being built at pace, technology is unlocking new capabilities, and the experiences delivered to customers worldwide are next-level.
They're looking for a Data Engineer to become an integral part of their Data Engineering Team. Working within a modern AWS environment, you will be responsible for building scalable data solutions, improving automation, and supporting critical business intelligence initiatives.
What you'll do:
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop data solutions using AWS services including Glue, Lambda, S3, Redshift, and EMR.
- Support the migration of our existing SQL Server data warehouse to AWS.
- Contribute to the design and implementation of modern data lakehouse and data warehousing architectures.
- Build and optimise real-time and batch data processing solutions using PySpark and related technologies.
- Collaborate with Data Scientists, Analysts, and business stakeholders to deliver data-driven solutions.
- Stay current with emerging technologies and industry best practices.
- Provide technical guidance and support to junior team members when required.
Who you are:
- Strong hands-on experience with AWS services such as Glue, Lambda, S3, Redshift, and EMR.
- Proven experience building and maintaining data pipelines and ETL frameworks.
- Strong Python and SQL development skills.
- Experience working with PySpark and large-scale data processing environments.
- Solid understanding of data warehousing concepts and best practices.
- Experience working within Agile delivery environments.
- Understanding of data governance, security, and privacy best practices.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
Ready to join a tech team that’s building for millions? Apply now or drop us a message to learn more.
Data Engineer in Warrington employer: MRJ Recruitment
As a leading global technology business based in Manchester, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a modern AWS environment. Join us to be part of a team that not only values your contributions but also supports your professional development while delivering next-level experiences to millions of customers worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Warrington
✨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 MRJ Recruitment!
✨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 MRJ Recruitment.
✨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 MRJ Recruitment.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in Warrington
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 MRJ Recruitment, 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 MRJ Recruitment. 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 MRJ Recruitment
✨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 MRJ Recruitment!
✨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.
