At a Glance
- Tasks: Design and build data-engineering features for a major financial-services client.
- Company: Join Voodoo Park, a forward-thinking company in the tech space.
- Benefits: Enjoy remote work flexibility and competitive salary packages.
- Other info: Opportunity to work on exciting projects with excellent career growth potential.
- Why this job: Make an impact by enhancing data quality and collaborating with top professionals.
- Qualifications: Experience in data engineering and familiarity with Azure Data Factory and Microsoft Fabric.
The predicted salary is between 54000 - 66000 £ per year.
Voodoo Park is seeking a Senior Data Engineer to design, build, test and deploy data-engineering features for a major financial-services client.
You will onboard new data sources and migrate ETL processes from Azure Data Factory/Data Lake to Microsoft Fabric, collaborating with architects and stakeholders.
You will enhance an ingestion framework, develop incremental loads and ensure data quality across DEV, TEST, UAT and PROD with CI/CD practices.
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Senior Data Engineer — Remote, Fabric & Azure Pipelines employer: Voodoo Park
Voodoo Park is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Senior Data Architect role. Located in the vibrant city of London, employees benefit from a dynamic environment that encourages professional growth through continuous learning and engagement with cutting-edge financial services projects. With a strong emphasis on data governance and Agile methodologies, team members are empowered to make meaningful contributions while enjoying a healthy work-life balance with four days on-site.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Remote, Fabric & Azure Pipelines
✨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 Voodoo Park!
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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 Engineer — Remote, Fabric & Azure Pipelines at Voodoo Park.
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We think you need these skills to ace Senior Data Engineer — Remote, Fabric & Azure Pipelines
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 Voodoo Park, 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 Voodoo Park. 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 Voodoo Park
✨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 Voodoo Park!
✨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.
