At a Glance
- Tasks: Build and manage data pipelines while designing tailored solutions for clients.
- Company: Leading Microsoft partner modernising data platforms across the UK.
- Benefits: Up to £65,000 salary, fully remote work, bonuses, and healthcare options.
- Other info: Hands-on role with excellent career growth opportunities.
- Why this job: Make a real impact with innovative analytics solutions and gain valuable certifications.
- Qualifications: Experience with Azure services, strong SQL skills, and proficiency in Python or PySpark.
The predicted salary is between 43200 - 78000 £ per year.
We are looking for a Senior Data Engineer to join a leading Microsoft partner that is modernising data platforms and delivering innovative analytics solutions for organisations across the UK. You will work closely with clients to understand their business challenges before designing tailored solutions that improve efficiency, drive self‑service reporting and support long‑term scalability. This is a hands‑on role where you will support clients from a variety of different sectors. You will also be able to supplement this hands‑on experience with the opportunity to gain Microsoft focus certifications and accreditations.
Responsibilities
- Build and manage data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric
- Design, implement and maintain data lakes, data warehouses and ETL/ELT processes
- Develop scalable data models for reporting in Power BI
- Work closely with stakeholders to understand business needs and advise on solutions that best fit the individual needs of the business
Skills and Experience
- Hands‑on experience with Azure services such as Synapse, Data Factory or Databricks
- Strong SQL skills
- Proficiency in Python and/or PySpark
- Experience with Power BI and data modelling
What is on offer
- Salary up to £65,000
- Fully remote working from anywhere in the UK
- Performance‑related bonus scheme
- Pension scheme and private healthcare options
This is just a brief overview of the role. For the full details, simply apply with your CV and we will be in touch to discuss it further.
Senior Data Engineer in Bristol employer: Nigel Frank
Join a forward-thinking Microsoft partner as a Senior Data Engineer, where you will be part of a dynamic team dedicated to modernising data platforms and delivering innovative analytics solutions across the UK. Enjoy the flexibility of fully remote working, a competitive salary of up to £65,000, and the opportunity for professional growth through Microsoft certifications, all within a supportive work culture that values collaboration and individual contributions.
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We think this is how you could land Senior Data Engineer in Bristol
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We think you need these skills to ace Senior Data Engineer 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!
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✨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!
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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
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✨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.
