At a Glance
- Tasks: Design and develop scalable data pipelines while collaborating with a talented engineering team.
- Company: Join an industry-leading SaaS group in a fast-paced, innovative environment.
- Benefits: Competitive salary, bonus, hybrid work model, and industry-leading benefits.
- Other info: Dynamic culture with opportunities for career growth and development.
- Why this job: Gain real ownership and mentorship while pushing technical boundaries in data engineering.
- Qualifications: 3-7 years of data engineering experience and strong understanding of data modelling.
The predicted salary is between 45000 - 55000 £ per year.
Bristol65000 - 75000 per annum Permanent Senior Data Engineer
Hybrid: Central Bristol office (3 days per week)60,000-75,000 | + Bonus | Industry Leading Benefits We’re excited to be recruiting exclusively for a Data Engineer to join an industry leading Saa S group within a global data driven orginisation.
So, think fast moving, big budget, heaps of autonomy, and a breakaway type culture that is committed to pushing technical boundaries.
But, all without the red tape and sluggish pace The Headlines A hands-on Engineering role focused on building scalable, high-quality Data Pipelines, where you’ll be given real ownership, exposure to experienced director level mentors & Senior Data Engineers, alongside the opportunity to grow towards senior-level responsibilities.
Tech Stack Spark | Airflow | Kubernetes | Azure | Cube JSWhat You’ll Be Doing Data Pipeline Development - designing & developing efficient, scalable & robust Data Pipelines Support and main the data platform to ensure security, reliability, and scalability.
Working with the wider engineering team to gather pipeline requirements, project goals & deliver insights where applicable.
Collaborating with engineers, product teams, and customer-facing stakeholders What We’re Looking For3-7 years’ commercial Data Engineering experience Excellent understanding of data modelling principles and data warehousing concepts.
Ultimately, this is a chance to join a well established & talented Data Engineering team in a role where Data is very much front and centre of the groups platform.
Senior Data Engineer - AI & Data in Bristol employer: Tria Recruitment
Join a forward-thinking organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions as a Digital Solution Architect will directly shape the future of their digital landscape. With competitive salaries and a flexible hybrid working model in the vibrant locations of Milton Keynes and London, you'll enjoy a supportive environment that fosters growth and embraces cutting-edge technology. This role not only provides the chance to lead significant projects but also to be part of a transformative journey that enhances your professional skills and career trajectory.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - AI & Data in Bristol
✨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 Tria Recruitment!
✨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 Engineer - AI & Data at Tria Recruitment.
✨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 Tria Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - AI & Data at Tria Recruitment, 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 Engineer - AI & Data in Bristol
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 Tria Recruitment, 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 Tria Recruitment. 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 Tria Recruitment
✨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 Tria Recruitment!
✨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.
