Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data pipelines and maintain efficient data systems.
- Company: Join a leading financial services firm with a focus on data-driven insights.
- Benefits: Enjoy competitive pay, generous leave, and a range of health benefits.
- Why this job: Be part of a dynamic team shaping the future of data engineering.
- Qualifications: Experience in data engineering and familiarity with tools like SQL and Snowflake.
- Other info: Opportunities for growth and learning in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
The Data and Insights Division is comprised of four key areas: Data Governance and Intelligence, Data Acquisition, Quality, Strategy and Literacy, Data Insights, and Data Architecture, Platform and Engineering. This presents an opportunity to design a data strategy aligned with the organisation’s goals and execute the delivery of data effectively. D&I enables SJP to leverage value from its data through actionable insights and data‑led decision making.
The Data Architecture, Platform and Engineering (DAPE) Division integrates architecture, platform and engineering to establish guidelines, principles and development standards aimed at building a secure, resilient data platform for the future. It plays a key role in supporting the SJP data ecosystem, driving towards the SJP data strategy and advancing the decommissioning roadmap.
The role holder will be responsible for assisting Senior Data Engineers in designing, implementing and maintaining scalable data pipelines and systems allowing large datasets to be managed, processed and analysed effectively. They will understand that data flows need to be optimised, data quality measured, and appropriate technologies utilised. Throughout the development lifecycle they will ensure best practice standards are followed, and all work aligns to the appropriate guidelines.
What you’ll be doing:
- Helping design and implement scalable and efficient data pipelines as per requirements, ensuring robust ETL/ELT processes, enabling SJP to move from multiple sources to a centralised platform.
- Assisting in writing and optimising SQL queries and scripts to process data.
- Supporting the integration of data from different systems, ensuring that it is structured correctly for analysis.
- Maintaining data workflows and ensuring data is ingested and processed without errors and assisting in updating and maintaining existing data systems to help keep them current and efficient.
- Keeping up to date with the latest data engineering technologies and trends, including cloud‑based data platforms, data lakes, and real‑time data processing.
- Continuously improving technical skills by learning new data engineering tools and techniques.
- Help monitor data pipelines to ensure they are running smoothly and troubleshoot minor issues as they arise.
- Help with identifying and resolving data issues, including missing or inconsistent data.
Who we’re looking for:
We are looking for a passionate data professional who is keen to learn and develop their skills and learn from those around them. The successful candidate will have experience working in data engineering and/or data integration roles and will have exposure working with data tools including Snowflake, SQL, AWS and/or Azure.
Essential Criteria:
- Experience working in a data engineering and/or data integration role.
- Some knowledge and skills with data tools and technologies including Snowflake, SQL, AWS and/or Azure.
- Exposure working alongside PMS, BAs, Testers, Developers and to project lifecycle best practice.
- Some skills in root cause analysis, troubleshooting and resolving performance issues/defects.
Desirable Criteria:
- Strong Snowflake development experience.
- Some stakeholder management and relationship building skills.
- Bachelor's degree or equivalent in Data Science, Computer Science, Mathematics or similar STEM subject.
Special Requirements:
Some business travel may be necessary.
What’s in it for you?
We reward you for the work you do, whether that’s through our discretionary annual bonus scheme that reflects both personal and company performance, competitive annual leave allowance (28 days plus bank holidays, with the option to purchase an additional 5 days), or online rewards platform with a variety of discounts. We also have benefits to support whatever stage of life you are in, including:
- Competitive parental leave (26 weeks full pay).
- Private medical insurance (optional taxable benefit).
- 10% non‑contributory pension (increasing with length of service).
Reasonable Adjustments:
We’re an equal opportunities employer and want to ensure our recruitment process is accessible and inclusive for all. If you require reasonable adjustment(s) at any stage please let us know by emailing us at careers@sjp.co.uk.
Research tells us that applicants (especially those from under‑represented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career‑break. If you think you would be a good match for this role and can demonstrate some transferable experience please apply, regardless of whether you tick every box.
What’s next?
If you’re excited about this role and believe you have the skills and experience we’re looking for, we’d love to hear from you! Please submit an application by clicking ‘apply’ below and our team will be in touch.
As a business regulated by the FCA we would advise you to familiarise yourself with the conduct regulations and in particular consumer duty obligations prior to an interview with SJP.
Data Engineer in Bristol employer: St. James's Place
Contact Detail:
St. James's Place Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data engineering skills. Be ready to discuss how you've tackled data challenges in the past—real examples go a long way!
✨Tip Number 3
Show your passion for data! Share your thoughts on the latest trends in data engineering, like cloud platforms or real-time processing. It shows you're not just looking for a job, but genuinely interested in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data engineering and the specific tools mentioned in the job description, like Snowflake and SQL. We want to see how your skills align with what we're looking for!
Show Your Passion: Let your enthusiasm for data engineering shine through! Share examples of projects you've worked on or technologies you've explored. We love seeing candidates who are eager to learn and grow in their field.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity and a well-structured application!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at St. James's Place
✨Know Your Data Tools
Make sure you brush up on your knowledge of data tools like Snowflake, SQL, AWS, and Azure. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Understand the Role
Familiarise yourself with the key responsibilities of a Data Engineer, especially around designing and implementing scalable data pipelines. Think about examples from your experience that demonstrate your ability to optimise data flows and ensure data quality.
✨Show Your Problem-Solving Skills
Prepare to talk about specific instances where you've identified and resolved data issues. Highlight your root cause analysis skills and how you've troubleshot performance problems in the past—this will show your potential employer that you're proactive and resourceful.
✨Stay Current with Trends
Keep up to date with the latest trends in data engineering, such as cloud-based platforms and real-time data processing. Being able to discuss recent developments or tools you've learned about will demonstrate your passion for the field and your commitment to continuous improvement.