At a Glance
- Tasks: Design and build scalable data pipelines and analytics models for impactful decision-making.
- Company: Join Oxford Instruments Plasma Technology, a leader in innovative engineering tools.
- Benefits: Enjoy competitive salary, 25 days leave, private healthcare, and flexible benefits.
- Other info: Collaborative culture with excellent work-life balance and structured career development.
- Why this job: Make a real impact in data science and analytics while advancing your career.
- Qualifications: Degree in Data Science or related field, with experience in data engineering.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a Data & Analytics Engineer to join our team and play a key role in shaping our data capabilities.
You will design, build, and maintain scalable data pipelines, analytics models, and business intelligence solutions that enable data-driven decision-making across the organisation.
This is an exciting opportunity to contribute to high-impact data products and help advance our analytics and data science capabilities.
- _Please note that we are unable to provide visa sponsorship for this position, either now or in the future.
Candidates must have the permanent right to work in the UK._, Design, develop, and maintain robust data pipelines and data architectures
- Build and optimise analytics models and datasets for business use
- Develop and enhance Power BI dashboards and reporting solutions
- Ensure data quality, integrity, and accessibility across systems
- Support and evolve internal data platforms
- Collaborate with stakeholders to translate business needs into data solutions
- Enable advanced analytics and data science initiatives
- Drive improvements in data automation and reporting efficiency
- Experience in data engineering, analytics, or a related role
- Experience with BI tools (e. g. Power BI)
- Understanding of data pipelines and ETL processes
- Ability to work with stakeholders to deliver actionable insights
- A proactive approach to problem-solving and continuous improvement
- Exposure to data science workflows or advanced analytics
- Knowledge of data governance and best practices
- Professional Skills / Abilities
- Strong experience with Python development
- Experience building data pipelines and data processing workflows
- Familiarity with Django or similar web frameworks
- Experience with Power BI or other reporting/visualisation tools
- Understanding of data architecture and system integration
- Exposure/experience with LLMs and other forms of generative AI
- Strong SQL skills
- Exposure to cloud platforms or modern data stacks (desirable)
- Excellent communication and stakeholder management skills
- Knowledge of C based languages (desirable)
Education / Qualifications
Degree qualified in a Data science, Computing and/or Physics related discipline with proven relevant experience since graduating OR Equivalent industry experience in data engineering or analytics.
At Oxford Instruments Plasma Technology, we develop world-leading tools for engineering micro- and nano-scale structures.
Our technologies enable innovation across industries, helping customers push the boundaries of science and technology.
- Competitive salary
- 25 days annual leave + half-day Fridays
- Private healthcare
- Share incentive plan
- Pension scheme
- Flexible benefits tailored to your needs
- Structured career development opportunities
- A collaborative environment with excellent work-life balance
- #J-18808-Ljbffr
Data & Analytics Engineer in Bristol employer: Oxford Instruments plc
Oxford Instruments Plasma Technology is an exceptional employer, offering a dynamic work environment in Severn Beach, Bristol, where innovation meets compliance. With a strong focus on employee development, we provide ample opportunities for growth and learning, alongside a collaborative culture that values each team member's contributions. Our commitment to maintaining high regulatory standards ensures that you will be part of a team dedicated to excellence and safety in cutting-edge technology.
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We think this is how you could land Data & Analytics Engineer in Bristol
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We think you need these skills to ace Data & Analytics 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
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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.
