At a Glance
- Tasks: Design and build scalable data pipelines using Python and SQL for impactful data solutions.
- Company: Join a growing tech team focused on modern data platforms.
- Benefits: 30 days' leave, strong pension, training opportunities, and wellbeing support.
- Other info: Flexible location within the UK with minimal travel required.
- Why this job: Make a real impact on data processes and collaborate with stakeholders.
- Qualifications: Experience with Azure Databricks, SQL, and data engineering best practices.
The predicted salary is between 60750 - 74250 £ per year.
Location
- London or Newcastle Upon Tyne
- (but can be based anywhere in the UK as travel is very minimal)
The opportunity
We're looking for an experienced
Senior Data Engineer to join a growing technology team and play a key role in building and evolving a modern data platform.
You’ll be responsible for designing, building and supporting robust data pipelines, integrating data from multiple sources and transforming complex datasets into high-quality information that can be used across the organisation.
This is a hands‑on engineering role where you’ll have genuine ownership of the data landscape and the opportunity to make a visible impact on how data is collected, processed, governed and consumed.
- What you’ll be doing
- Design, build, maintain and support scalable data pipelines using Python and SQL.
- Integrate data from disparate business and system sources.
- Develop automated solutions that improve efficiency and reduce manual processes.
- Work with large and complex datasets to improve data quality and reliability.
- Design and develop data structures to support reporting and analytics.
- Translate business requirements into robust technical data solutions.
- Build prototypes and iterate quickly to solve emerging data challenges.
- Prepare and structure data for advanced analytics and predictive modelling.
- Work closely with stakeholders and technical teams to understand data requirements.
- Take ownership of data engineering solutions from development through to production.
- What we’re looking for
We're looking for a senior‑level Data Engineer with strong hands‑on engineering experience across modern data platforms.
You’ll ideally have
- Experience with
- Azure Databricks is essential
- Advanced
SQL skills.
- Proven experience building and maintaining production data pipelines .
- Strong experience with
Azure Data Factory .
- Experience working with
Azure Data Lake / ADLS Gen2 .
- Strong understanding of data warehousing and data modelling .
- Knowledge of database design and normalisation principles.
- Experience preparing data for
Power BI and analytical reporting.
- Experience working in an
Agile engineering environment.
- A track record of taking ownership of data engineering solutions and delivering them into production.
We're particularly interested in engineers who are comfortable getting hands‑on with the technology, solving complex data problems and working collaboratively with stakeholders.
- What you’ll get
- 30 days' annual leave plus public holidays
- Strong employer pension contribution
- Income protection and life assurance
- Employee assistance and wellbeing support
- Training and professional development opportunities
- Access to extensive online learning resources
- Cycle to Work scheme
- Electric Vehicle lease scheme
We're looking for someone who is technically strong, commercially aware and comfortable taking ownership.
You’ll be someone who can operate independently, understand the wider business context behind the data you’re working with, and build engineering solutions that are reliable, scalable and genuinely useful.
Candidates must have unrestricted eligibility to work in the UK. Visa sponsorship is not available for this position.
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Senior Data Engineer (Azure) in Newcastle upon Tyne employer: Cognitive Group | Part of the Focus Cloud Group
As a leading Microsoft consultancy, we pride ourselves on fostering a dynamic work culture that champions innovation and continuous learning. Our Technical Copilot Trainer role offers not only the opportunity to engage with cutting-edge AI technologies but also provides a clear pathway for career advancement into AI Consulting or Solution Architecture. With a hybrid working model based in London, employees benefit from a collaborative environment while enjoying the flexibility to balance their professional and personal lives.
Contact Details:
Cognitive Group | Part of the Focus Cloud Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Azure) in Newcastle upon Tyne
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We think you need these skills to ace Senior Data Engineer (Azure) in Newcastle upon Tyne
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 Cognitive Group | Part of the Focus Cloud Group, 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 Cognitive Group | Part of the Focus Cloud Group. 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 Cognitive Group | Part of the Focus Cloud Group
✨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 Cognitive Group | Part of the Focus Cloud Group!
✨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.
