At a Glance
- Tasks: Join our BIS team to learn and support modern data solutions.
- Company: Dynamic tech company transitioning to a cloud-first data ecosystem.
- Benefits: Mentorship, hands-on training, and opportunities on live projects.
- Other info: Collaborative environment with 80+ professionals and excellent growth potential.
- Why this job: Kickstart your career in data with cutting-edge tools and real impact.
- Qualifications: Basic SQL knowledge and eagerness to learn about data integration.
The predicted salary is between 40500 - 49500 £ per year.
An exciting entry-level opportunity has arisen to join our Business Intelligence Systems (BIS) team at a pivotal moment in our tech journey. As we transition from legacy architectures to a modern cloud-first data ecosystem, you will work alongside experienced senior developers to learn, build, and support the future of our data infrastructure. The BIS domain works in close collaboration with stakeholders across key business areas such as Finance, Product, Marketing, and Contact Centre to design, build, and support critical data solutions. Our thriving department features 80+ developers, analysts, and product managers focused on value-driven delivery. As a trainee, you will receive mentorship, hands-on training, and opportunities to work on live projects across our hybrid data environment.
What You’ll Take On:
- Learn and Grow: Work closely with senior developers through pair-programming and guided mentorship to build your expertise in modern data tools.
- Support Data Workflows: Assist in developing and maintaining solutions using tools across the Azure stack (Azure Data Factory, Azure Data Lake), Databricks, and PowerBI.
- Deliver Value: Help build solutions tailored to business requirements, including initiatives around data security controls, cost efficiencies, and process optimisation.
- Maintain & Innovate: Support core SQL database platforms while gaining exposure to cloud-first pipelines, automated data ingestion pathways, and emerging AI/machine learning data tools.
What You’ll Bring:
- Foundational Knowledge & Key Areas:
- Core Programming & SQL: Foundational knowledge of SQL, with an eagerness to write clean, efficient queries and scripts.
- Data Integration Concepts: Basic understanding of ETL (Extract, Transform, Load) concepts, data pipelines, or database management.
- Data Visualisation: Familiarity or academic/project experience with reporting tools such as PowerBI.
- Cloud & Modern Data Exposure: A keen interest in or basic familiarity with cloud platforms (e.g., Azure Data Lake, Azure Data Factory) and unified analytics platforms like Databricks.
- Professional Behaviours:
- Eagerness to Learn: A proactive mindset with a strong desire to learn modern data architecture, dimensional modeling, and cloud technologies.
- Collaboration: Ability to work effectively within multifunctional, fast-moving product teams.
- Communication: Clear written and spoken English skills, with the ability to ask questions, learn from feedback, and discuss technical ideas.
Desirable (Nice to Have):
- Familiarity with PySpark or relational database management systems (SQL Server RDBMS).
- An interest in data warehousing principles or dimensional modeling.
- A passion for exploring how Artificial Intelligence (AI) and Machine Learning (ML) can be applied to real-world data problems.
Trainee Developer - Azure | Databricks | SQL in Leicester employer: Next Careers
At Victoria’s Secret, we pride ourselves on being an exceptional employer, offering a vibrant work culture where teamwork and passion for customer service thrive. Our Sales Associates enjoy flexible shifts, comprehensive training, and opportunities for personal growth in a supportive environment, all while being part of a globally recognised brand that values creativity and innovation. Located in Exeter, our store provides a unique chance to engage with customers in a dynamic setting, making every day rewarding and enjoyable.
StudySmarter Expert Advice🤫
We think this is how you could land Trainee Developer - Azure | Databricks | SQL in Leicester
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Next Careers.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Next Careers, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Next Careers.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Next Careers, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Trainee Developer - Azure | Databricks | SQL in Leicester
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Next Careers can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Next Careers and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Next Careers
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Next Careers that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Next Careers’s culture and workflow.
