At a Glance
- Tasks: Lead and develop complex data pipelines and products in a hands-on role.
- Company: Join a high-performing data engineering team in Edinburgh with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on best practices and continuous improvement.
- Why this job: Make a real impact by delivering scalable and secure data solutions.
- Qualifications: Extensive experience in data engineering, SQL, and cloud platforms like Azure or AWS.
The predicted salary is between 63000 - 77000 £ per year.
Senior Data Engineer Edinburgh (Hybrid)Inside IR35525–600 per day Are you a Senior Data Engineer who enjoys leading complex engineering initiatives while remaining hands-on?We're looking for an experienced Senior Data Engineer to join a high-performing data engineering team delivering enterprise-scale data platforms and products.
You'll combine technical leadership with hands-on engineering, helping shape best practice while delivering reliable, scalable and secure data solutions.
What you'll be doing Lead the design, development and delivery of complex data pipelines and data products.
Work closely with Data Owners, Architects and stakeholders to deliver high-quality technical solutions.
Lead investigations into production issues, root cause analysis and service improvements.
What we're looking for Extensive experience delivering enterprise data engineering solutions.
Strong background building data pipelines and integrations.
Excellent SQL and experience with technologies such as SQL Server, Oracle or Snowflake.
Experience with cloud platforms including Azure or AWS.
Strong scripting skills using SQL, Python or Power Shell.
Experience with CI/CD, deployment automation and engineering best practice.
Locations
Senior Engineer, Data Engineering in Midlothian, Scotland employer: Bright Purple
Bright Purple is an excellent employer that fosters a collaborative and innovative work culture in High Wycombe, where employees are encouraged to grow their skills in cutting-edge Microsoft technologies. With a focus on professional development and a commitment to work-life balance, we offer unique opportunities for career advancement while shaping the future of workplace technology. Join us to be part of a dynamic team that values your contributions and supports your journey in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Midlothian, Scotland
✨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 Bright Purple!
✨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 Engineer, Data Engineering at Bright Purple.
✨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 Bright Purple.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Engineer, Data Engineering at Bright Purple, 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 Engineer, Data Engineering in Midlothian, Scotland
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 Bright Purple, 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 Bright Purple. 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 Bright Purple
✨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 Bright Purple!
✨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.
