At a Glance
- Tasks: Design and maintain robust data pipelines for impactful reporting and analytics.
- Company: Join a growing data function in a collaborative engineering team.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for continuous improvement.
- Other info: Dynamic environment with a focus on automation and operational excellence.
- Why this job: Make a real impact by delivering trusted, high-quality data solutions.
- Qualifications: Experience in data engineering, strong SQL skills, and knowledge of cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
Data Engineer
Edinburgh (Hybrid) Inside IR35 £450£525 per day Are you a Data Engineer who enjoys building reliable, scalable data pipelines that power business-critical reporting and analytics?
We're recruiting for an experienced Data Engineer to join a growing data function, helping deliver trusted, high-quality data products across a large enterprise environment.
Working as part of a collaborative engineering team, you'll design, build and maintain data pipelines while ensuring solutions are secure, well-governed and built to modern engineering standards.
What you'll be doing
Design, develop and maintain robust data pipelines and data products.
Build scalable solutions that move data from source systems into reporting and analytics platforms.
Deliver high-quality engineering solutions using modern CI/CD practices.
Monitor pipeline health, investigate incidents and resolve production issues.
Work closely with Data Analysts, Data Owners and technical teams to deliver trusted data solutions.
Apply engineering standards, governance and quality controls throughout the delivery lifecycle.
Contribute to automation, testing and continuous improvement initiatives.
What we're looking for
Commercial experience delivering enterprise data engineering solutions.
Strong SQL and experience with relational databases such as SQL Server, Oracle or Snowflake.
Experience building integrations, APIs or data pipelines.
Knowledge of cloud platforms such as Azure or AWS.
Experience with scripting using SQL, Python or Power Shell.
Experience with CI/CD, version control and deployment tooling.
Strong troubleshooting skills with a passion for engineering quality and operational excellence.
If you are keen APPLY NOW.
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Data Engineer in Midlothian employer: Bright Purple Resourcing
Blake Group is an exceptional employer located in Edinburgh, offering a dynamic work environment where innovation and quality are at the forefront of their engineering and manufacturing operations. With a strong focus on employee growth and development, they provide opportunities for leadership and strategic influence, making this a rewarding role for those looking to make a significant impact in a thriving business. The company's commitment to a high-performance culture and inclusivity ensures that every team member can contribute to and share in the success of the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Midlothian
✨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 Resourcing!
✨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 Data Engineer at Bright Purple Resourcing.
✨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 Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Bright Purple Resourcing, 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 Data Engineer in Midlothian
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 Resourcing, 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 Resourcing. 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 Resourcing
✨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 Resourcing!
✨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.
