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- Tasks: Join a team to tackle real-world data engineering challenges and enhance data quality.
- Company: Be part of an innovative company focused on data integration and cloud technologies.
- Benefits: Enjoy mentorship, training, and a supportive work environment with opportunities for professional growth.
- Why this job: Work on exciting projects while developing your skills in a collaborative atmosphere.
- Qualifications: A degree in Computer Science, Mathematics, Data Science, or Engineering is preferred.
- Other info: This permanent role offers a starting salary of £25,000 and requires full-time onsite presence.
The predicted salary is between 25000 - 35000 £ per year.
Are you a new graduate or an early-career professional in data analytics and engineering? Here is your chance to engage in innovative data integration and modelling projects utilising cloud technologies.
The opportunity:
- Collaborate with senior team members to develop and implement data integration and modelling solutions
- Work on real-world data engineering problems from day one to enhance data quality, accuracy, and accessibility
- Utilise cloud technologies to optimise data processing and analysis
- Assist in the design and implementation of data pipelines and workflows
- Contribute to the continuous improvement of data analytics processes and tools
- Receive mentorship and training from experienced engineers in a relaxed and supportive working environment
You are:
- Curious, analytical, and eager to learn new technologies
- Comfortable working with data, logic, and patterns
- A clear communicator with a collaborative approach
- Proficient in SQL, including writing and optimising queries and stored procedures
- Familiar with AWS Redshift and PostgreSQL or similar OLAP and OLTP databases
- Experienced with Python, especially for AWS Lambda development
- Have an awareness of event-driven architectures, e.g., AWS EventBridge
And even better if your job or internship provided you with exposure to:
- AWS services
- AWS Step Functions or similar state machine-based orchestration tools
- Git or other version control tools
- DevOps practices (CI/CD, IaC)
- Data modelling and ETL/ELT pipelines
- A general understanding of data governance and data quality
Degree preferred. A 2:1 or above in Computer Science, Mathematics, Data Science, or Engineering.
Apply today to become part of our client's team. Your efforts will be valued, and you'll receive support for your professional growth while engaging in interesting data and analytics projects. This is a permanent position offering a salary starting at £25,000, based on your experience, requiring full-time onsite presence at HP7, South Buckinghamshire.
Junior Data and Analytics Engineer employer: P. Moe Talent Collective
Contact Detail:
P. Moe Talent Collective Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data and Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud technologies mentioned in the job description, particularly AWS services. Consider taking online courses or tutorials that focus on AWS Redshift and PostgreSQL to demonstrate your commitment and knowledge during interviews.
✨Tip Number 2
Engage with the data engineering community by joining relevant forums or attending meetups. Networking with professionals in the field can provide insights into the latest trends and may even lead to referrals for job openings.
✨Tip Number 3
Prepare to discuss your experience with SQL and Python in detail. Be ready to share examples of how you've used these skills in past projects or internships, as practical experience is highly valued in this role.
✨Tip Number 4
Showcase your collaborative skills by highlighting any team projects you've worked on. Emphasising your ability to communicate effectively and work well with others will align with the company's focus on teamwork and mentorship.
We think you need these skills to ace Junior Data and Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to data analytics and engineering. Emphasise your proficiency in SQL, Python, and any cloud technologies you've worked with, such as AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical skills and eagerness to learn new technologies.
Showcase Relevant Projects: If you have completed any projects during your studies or internships that relate to data integration, modelling, or cloud technologies, be sure to include them. Describe your role and the impact of your contributions.
Prepare for Technical Questions: Anticipate technical questions related to SQL, Python, and data engineering concepts. Brush up on your knowledge of AWS services and event-driven architectures to demonstrate your readiness for the role.
How to prepare for a job interview at P. Moe Talent Collective
✨Show Your Curiosity
As a Junior Data and Analytics Engineer, it's crucial to demonstrate your eagerness to learn. Prepare questions about the company's data projects and technologies they use. This shows that you're not just interested in the job, but also in growing your skills.
✨Highlight Relevant Skills
Make sure to emphasise your proficiency in SQL and any experience with AWS services. Be ready to discuss specific projects or tasks where you've used these skills, as this will help the interviewers see how you can contribute from day one.
✨Communicate Clearly
Since clear communication is key in collaborative environments, practice explaining complex data concepts in simple terms. This will showcase your ability to work well with team members who may not have a technical background.
✨Demonstrate Problem-Solving Skills
Prepare to discuss real-world data engineering problems you've encountered, whether in internships or academic projects. Explain how you approached these challenges and what solutions you implemented, as this will highlight your analytical thinking.
