At a Glance
- Tasks: Own and evolve data pipelines, ensuring reliable and scalable analytics solutions.
- Company: Join a forward-thinking company focused on innovative data engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to influence and grow your career.
- Why this job: Make a real impact on enterprise analytics and shape the future of data engineering.
- Qualifications: Strong experience in data engineering, SQL, and cloud platforms required.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a Senior Data Engineer to take ownership of the data engineering layer that underpins enterprise reporting and analytics. This is a hands‑on role focused on building and running the pipelines, transformations, curated datasets, and quality controls that turn operational data into trusted, usable assets for decision‑making. You’ll play a key role in shaping how data engineering is done within a growing analytics function. In the near term, you’ll strengthen and evolve the platform foundations behind critical analytics use cases. Over time, you’ll help build more reusable, scalable data services that can support a broader range of analytics and digital needs.
Key Responsibilities
- Own and evolve core data pipelines, transformation logic, and curated datasets that support enterprise reporting and analytics.
- Design, build, and maintain scalable data models across warehouse / lakehouse environments, with a focus on reliability, clarity, and reuse.
- Implement strong data quality, validation, monitoring, and operational controls so critical data assets remain trusted and resilient.
- Integrate data from multiple source systems into well‑structured datasets for analytics and reporting use cases.
- Work closely with analytics, BI, platform, and architecture colleagues to ensure downstream reporting and analytics sit on stable engineering foundations.
- Apply strong engineering discipline through CI/CD, version control, documentation, and repeatable delivery patterns.
- Improve performance, maintainability, and scalability of data pipelines and models as the platform grows.
- Help establish reusable patterns and standards for data engineering across the analytics function.
- Support the evolution of the analytics platform so it can serve not only reporting needs today, but broader analytics and digital use cases over time.
What we’re looking for
Essential Experience / Skills
- Strong senior‑level data engineering experience building and maintaining scalable data platforms and pipelines.
- Strong SQL plus Python / PySpark or equivalent experience for ingestion, transformation, and validation work.
- Experience with cloud data platforms, orchestration tooling, and modern warehouse / lakehouse patterns.
- Experience designing and maintaining curated datasets and data models for analytics use cases.
- Experience implementing data quality, monitoring, validation, and secure / governed data handling.
- Good engineering discipline, including CI/CD, version control, documentation, and repeatable delivery practices.
- Ability to work with technical and non‑technical stakeholders to translate business needs into robust technical solutions.
Desirable Experience / Skills
- Experience with Microsoft Fabric, Azure‑based data engineering, or similar modern cloud data environments.
- Experience supporting analytics or enterprise reporting environments with high expectations around trust, governance, and continuity.
- Familiarity with business‑critical data domains such as finance, operations, or people data.
- Experience helping teams raise engineering maturity through shared standards, patterns, and service ownership.
Why join / opportunity
- Take real ownership of important data assets at the heart of enterprise analytics.
- Help shape how data engineering is done within a growing analytics capability.
- Work on meaningful platform foundations that support trusted reporting today and more reusable analytics services over time.
- Influence the move from fragmented data workflows toward more robust, scalable, and well‑governed engineering patterns.
- Partner with a broad set of stakeholders across analytics, BI, platform, and digital teams in a role with clear impact and room to grow.
- Build something lasting: not just pipelines, but a stronger engineering foundation for future analytics delivery.
Senior Data Engineer in Bristol employer: SLR Consulting
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Engineer, you will take ownership of critical data assets that drive enterprise analytics. Our supportive work culture fosters professional growth, offering opportunities to influence data engineering practices while working alongside diverse teams. Located in a vibrant area, we provide a dynamic environment that encourages creativity and the development of scalable solutions for meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Bristol
✨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 SLR Consulting!
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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 SLR Consulting.
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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!
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 SLR Consulting, 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 SLR Consulting. 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 SLR Consulting
✨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 SLR Consulting!
✨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.
