At a Glance
- Tasks: Design and optimise scalable data pipelines for AI-driven products.
- Company: Innovative AI-powered SaaS organisation transforming data usage.
- Benefits: Competitive salary, hybrid work, professional development, and mentorship.
- Other info: Opportunity for genuine career progression and influence engineering standards.
- Why this job: Join a collaborative team and shape the future of data engineering.
- Qualifications: Experience in SQL, Python, and cloud platforms like Azure, AWS, or GCP.
The predicted salary is between 60750 - 74250 £ per year.
Salary up to £75,000
London-based role – hybrid working with 4 days per week in the office
Play a key role in developing AI-powered data platforms for enterprise clients.
Work with SQL, Python and cloud technologies across Azure, AWS and GCP.
ABOUT THE CLIENT
Due to continued growth, we’re recruiting for a Senior Data Engineer to join an innovative AI-powered SaaS organisation that’s transforming the way businesses use their data. You’ll join a collaborative engineering team building scalable data platforms and AI-driven products for enterprise clients across a range of industries. This is an excellent opportunity for a hands-on Data Engineer looking to take ownership of technical delivery while mentoring others and shaping engineering best practices.
THE BENEFITS
- Competitive salary
- Hybrid working model
- Professional development budget and ongoing training
- Work on cutting-edge AI and data engineering projects
- Direct mentorship from senior technical leaders
- Exposure to Azure, AWS and GCP technologies
- Collaborative engineering culture with genuine career progression
- Opportunity to influence engineering standards and best practices
THE SENIOR DATA ENGINEER ROLE:
As a Senior Data Engineer, you’ll design, build and optimise scalable ETL and ELT pipelines that power AI-driven products and enterprise data platforms. You’ll take ownership of complex data engineering challenges, develop robust data models, support CI/CD processes and help integrate machine learning outputs into production environments. Alongside hands-on technical delivery, you’ll mentor other engineers, contribute to engineering standards and collaborate closely with Product, AI and Platform teams to deliver reliable, high-quality data solutions.
SENIOR DATA ENGINEER ESSENTIAL SKILLS
- Commercial experience as a Senior Data Engineer or Data Platform Engineer
- Strong SQL and Python development skills
- Experience designing and building ETL and ELT pipelines
- Strong understanding of data modelling and data warehousing principles
- Experience with Azure, AWS or GCP cloud platforms
- Knowledge of CI/CD, Git and DevOps best practices
- Experience mentoring engineers and promoting engineering best practices
- Excellent problem-solving and stakeholder communication skills
TO BE CONSIDERED
Please either apply through this advert or email me directly.
Senior Data Engineer employer: Searchability®
Join a dynamic and innovative technology company in the heart of Manchester, where you'll have the opportunity to lead technical innovation on a mature SaaS platform. With a strong emphasis on collaboration, employee development, and a transparent progression framework, this role offers not only competitive pay but also unique benefits like profit sharing and regular team-building activities. Experience a vibrant work culture that prioritises autonomy and continuous improvement, making it an excellent place for passionate engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 Searchability®!
✨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 at Searchability®.
✨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 Searchability®.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Searchability®, 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
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 Searchability®, 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 Searchability®. 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 Searchability®
✨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 Searchability®!
✨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.
