At a Glance
- Tasks: Drive automated data pipeline development and deliver impactful data reporting.
- Company: Join a global leader in data engineering with a collaborative hybrid culture.
- Benefits: Competitive salary, 20% bonus, and flexible hybrid working.
- Other info: Exciting opportunities for growth in a dynamic data analytics environment.
- Why this job: Make a real impact by solving data challenges and improving business processes.
- Qualifications: Proficient in SQL, Python, and data pipeline implementation.
The predicted salary is between 60000 - 65000 £ per year.
Location: Hertfordshire
Salary: £60,000 - £65,000+ / 20% Bonus
Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. We are looking for an experienced engineer who can drive the automated data pipeline development process, starting from requirements gathering, data extraction & loading, through to data modelling, reporting, and ultimately supporting the business.
The key responsibilities include:
- Work with the Engineering Operations team to understand and define their data pipeline requirements for their new data projects
- Collaborate with the wider Engineering teams to understand existing data ingestion and design suitable methods for extraction
- Design and implement the necessary data pipelines within a modern data stack; including the data extraction and load steps, data model, data warehouse, and analytics environments
- Solve new data related problems and drive improvements to ways of working within the Data Analytics team
- Deliver data reporting and visualisations to the business
- Help and support the business using your products to continuously improve the teams' deliverables
The ideal candidate will have the following technical skills:
- Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data
- Proficiency in SQL and Python, along with MS Fabric
- A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau
- Excellent communication skills
You might also have:
- Familiarity with DevOps style data model development through packages such as DBT
- Familiarity with commonly used cloud based infrastructures such as Snowflake, Microsoft Azure etc.
- A good understanding of version control systems such as Git or Perforce
Senior Data Analyst (Fabric, SQL, Python) £60,000 - £70,000 - HYBRID in England employer: Prize Placements
Join a dynamic and supportive team at a leading Global FMCG organisation in Sutton, where your contributions as a Sales Support Administrator will be valued and recognised. Enjoy a hybrid working model that promotes work-life balance, alongside opportunities for professional growth and development within a collaborative work culture. With competitive salaries and a focus on employee well-being, this is an excellent place to build a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (Fabric, SQL, Python) £60,000 - £70,000 - HYBRID in England
✨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 Prize Placements!
✨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 Senior Data Analyst (Fabric, SQL, Python) £60,000 - £70,000 - HYBRID at Prize Placements.
✨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 Prize Placements.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst (Fabric, SQL, Python) £60,000 - £70,000 - HYBRID at Prize Placements, 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 Senior Data Analyst (Fabric, SQL, Python) £60,000 - £70,000 - HYBRID in England
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 Prize Placements, 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 Prize Placements. 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 Prize Placements
✨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 Prize Placements!
✨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.
