At a Glance
- Tasks: Design and deliver enterprise-level data solutions using Azure tools.
- Company: Join a forward-thinking tech company committed to diversity and inclusion.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on mentorship and career development.
- Why this job: Make an impact by working on innovative data projects that drive business insights.
- Qualifications: Experience in SQL, Python, and data modelling; passion for data science.
The predicted salary is between 70000 - 90000 £ per year.
The primary focus for you will be the design and delivery of enterprise-level data solutions from the earliest discovery phases of projects through prototyping, architectural design and delivery. You will be working with Azure tools such as Databricks, Data Factory, and Hadoop to create big data environments that help businesses gain greater insight into their big data repositories.
Responsibilities
- Work on projects that utilize products within the Microsoft Azure and SQL Data analytics stack.
- Meet the expectations and requirements of customers, both internal and external.
- Support others in their development.
- Contribute to the Telefonica Tech UK and I Data and AI internal and external community.
- Apply strategic and operational decision‑making skills.
- Guide, direct or influence people.
- Identify opportunities and issues.
- Learn based on feedback.
- Help others develop.
- Create complex SQL queries.
- Use Microsoft BI Stack (SSRS, SSIS, or SSAS).
- Leverage commercial experience of Power BI for data visualization.
- Participate in architectural decisions for data solutions.
- Have an interest in Data Science and Data Modelling.
Core Skills
- SQL
- Python
- Power BI / Analysis Services / DAX
- Data Modelling / Data Warehouse Theory
- Azure Fundamentals
Nice to Have
- Azure Databricks
- Azure Synapse Analytics
- Microsoft Fabric
- Azure Data Factory
- Azure Networking/Infrastructure
- Azure DevOps / CI/CD / YAML / ARM / BICEP / Terraform
- MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS)
- Azure Automation / PowerShell
- Azure Streaming Analytics / Spark Streaming
- Azure Functions / C# .NET
- PowerApps
- Data Science
- Azure AI Services - Azure AI Foundry, Open AI, Cognitive Services
- Master Data Management / MDS
Certifications (Nice to have)
- Databricks Certified Associate / Professional
- Microsoft Azure Certifications
EEO Statement
We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation. We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability. We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but would still be a great fit for the role, please get in touch.
Principal Data Consultant employer: Telefonica Tech
At Telefonica Tech UK, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. Our commitment to employee growth is evident through our diverse training opportunities and supportive community initiatives, such as TogetHer and various Employee Resource Groups. Located in a vibrant tech hub, we offer the chance to work with cutting-edge Azure tools while contributing to meaningful projects that drive innovation and insight in data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Consultant
✨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 Telefonica Tech!
✨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 Principal Data Consultant at Telefonica Tech.
✨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 Telefonica Tech.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Consultant at Telefonica Tech, 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 Principal Data Consultant
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 Telefonica Tech, 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 Telefonica Tech. 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 Telefonica Tech
✨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 Telefonica Tech!
✨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.
