At a Glance
- Tasks: Join our BIS team to build the future of data infrastructure using cutting-edge tools.
- Company: Dynamic tech company focused on modern cloud-first data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and career development.
- Why this job: Make a real impact by innovating data solutions that drive business success.
- Qualifications: Strong SQL and Python skills, with experience in Azure Data Lake and Databricks.
The predicted salary is between 60000 - 80000 £ per year.
An exciting opportunity has arisen to join our Business Intelligence Systems (BIS) team at a pivotal moment in our tech journey - transitioning from legacy architectures to a modern cloud-first data ecosystem. You won't just be maintaining systems; you'll be building the future of our data infrastructure. In this role, you will utilise data, analytical, and reporting tools to develop new products, optimise existing solutions, and support our users across the business.
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 the critical data solutions NEXT relies on for operational and business analysis. Our thriving department features 80+ developers, analysts, and product managers focused on value driven delivery.
What You’ll Take On: Joining the BIS domain, you will leverage tools such as Azure stack (Azure Data Factory, Azure Datalake), Databricks and PowerBI to innovate and streamline workflows to provide valuable data for the business. Working as part of a product team, you will develop solutions tailored to meet business requirements, including initiatives such as cost-saving efficiencies, cyber resilience, and data security controls. Furthermore, you will support various data ingestion pathways, execute data compliance frameworks, and optimise our internal workflows to maximize process efficiency and operational stability.
What You’ll Bring: While our traditional SQL platform remains the core of our business for the foreseeable future, we are rapidly scaling our modern data architecture. We are seeking a Senior Developer who is comfortable navigating this hybrid landscape - someone eager to blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure.
Technical Expertise:
- Languages: Strong proficiency in SQL and Python.
- Data Platform: Hands-on experience with Azure Data Lake and Databricks.
- Data Integration (ETL): Proven capability in building efficient data pipelines using Azure Data Factory (ADF), SSIS, and API integrations.
- Reporting & Analytics Reporting Tools: Proficiency in PowerBI (or similar tools).
Professional Behaviours:
- Collaboration: Demonstrated ability to work within multifunctional, fast-moving product teams.
- Communication: Strong spoken and written English skills, capable of translating complex requirements into clear technical tasks.
- Mentorship: A proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming.
Desirable Skills:
- Experience with PySpark or PySQL.
- Experience in Dimensional Modelling and data warehousing principles.
- Experience with SQL Server SSAS Tabular and DAX.
- Exposure to SQL Server RDBMS and Managed Instance.
- Knowledge of Azure Event Hubs or Active Batch.
- A keen interest in applying Artificial Intelligence (AI) and Machine Learning (ML) to real-world data problems.
Senior / Lead Developer - DataBricks | Data Factory | 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 Senior / Lead Developer - DataBricks | Data Factory | SQL in Leicester
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We think you need these skills to ace Senior / Lead Developer - DataBricks | Data Factory | SQL in Leicester
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 Next Careers, 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 Next Careers. 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 Next Careers
✨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 Next Careers!
✨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.
