At a Glance
- Tasks: Design and build data pipelines, provide technical advice, and solve engineering challenges.
- Company: Leading Software and AI Solutions provider with a focus on delivering value across various sectors.
- Benefits: Competitive salary of £80k-£100k, flexible working options, and opportunities for professional growth.
- Other info: Collaborative Agile environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make a real impact in the Data Engineering field.
- Qualifications: Strong experience in Python, SQL, and cloud platforms like AWS, Azure, or GCP.
The predicted salary is between 80000 - 100000 £ per year.
Partnered with a UK-wide Software and AI Solutions client who are delivering true value to numerous organisations across the Financial Services, Fintech, Public Sector and Utilities industries.
They've got a huge demand across their Data practise and are looking to bring onboard multiple Senior and Lead Data Engineering (Python, SQL, AWS, Azure, GCP) experts who ideally have strong Software Engineering knowledge.
Scope of role: Strong experience with modern data engineering and reporting, data storage, data pipelines and analytical data reporting.
Extensive knowledge using Python, Spark, SQL, Py Spark, Power BI Hands-on client facing roles, providing techical advise to clients or solving engineering challenges.
Strong background in Software Engineering including Front-end technologies such as Javascript.
Wealth of knowledge designing and building well-structured and maintainable systems.
Strong Cloud experience across AWS, Azure or GCP.
Extensive knowledge working in an Agile environment.
CI/CD tooling experience Prior experience working on products such as Snowflake and Databricks.
If this opportunity aligns with your background and career aspirations please share your details to
, your latest CV and availability for a call.
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Senior/Lead Data Engineer - Bristol - 80k - 100k in Bath employer: Harvey Nash
Join a dynamic global banking organisation that prioritises innovation and employee development. With a collaborative work culture, comprehensive benefits, and ample opportunities for professional growth, this role as a SWIFT / Payments Project Manager offers a chance to make a significant impact in the financial sector while enjoying a supportive environment in a thriving location.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Lead Data Engineer - Bristol - 80k - 100k in Bath
✨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 Harvey Nash!
✨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/Lead Data Engineer - Bristol - 80k - 100k at Harvey Nash.
✨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 Harvey Nash.
✨Apply Directly through Our Website
When you find a suitable opening like Senior/Lead Data Engineer - Bristol - 80k - 100k at Harvey Nash, 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/Lead Data Engineer - Bristol - 80k - 100k in Bath
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 Harvey Nash, 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 Harvey Nash. 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 Harvey Nash
✨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 Harvey Nash!
✨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.
