At a Glance
- Tasks: Support data platforms and systems while developing your technical skills in a collaborative environment.
- Company: Join Birketts, a top UK law firm with a rich heritage and a commitment to innovation.
- Benefits: Enjoy flexible hybrid working, competitive salary, private healthcare, and performance bonuses.
- Other info: Embrace a culture of diversity and inclusion, with opportunities for personal and professional growth.
- Why this job: Make a real impact on data solutions while growing your career in a supportive team.
- Qualifications: A degree in data science or IT, or relevant experience, with a passion for data and problem-solving.
The predicted salary is between 27000 - 33000 £ per year.
Main information
Term type
Permanent
Department
Business Services
Location
About us
Birketts is a full service, UK Top 50 law firm.
With a heritage spanning 160 years, we have more than 700 lawyers and legal professionals and over 600 staff based in Bristol, Cambridge, Chelmsford, Ipswich, London, Norwich and Sevenoaks.
We advise businesses, government and public sector organisations and individuals in the UK and internationally across four principal practice groups: Real Estate, Corporate Services, Dispute Resolution and Private Client.
We are defined by our Next Level Law proposition.
We work with our clients as a proactive partner, horizon scanning and thinking ahead to the changes, challenges or opportunities that they may face.
Next Level Law is also applied to our people.
Our collegiate culture means everyone is encouraged to achieve their next level in everything they do.
Roll On Friday recently ranked us as the 6th best law firm to work at in 2026.
With our ambition to succeed, comes a strong desire to make a positive contribution to the communities we serve, and we are committed to delivering the objectives set out in our ESG strategy.
Diversity plays an integral part in all that we do, with female partners comprising 45% of our partnership.
The team you will join
This role is based within the Data Systems Team, part of Birketts’ wider IT Business Solutions function.
The team is responsible for delivering and supporting the firm’s data platforms, reporting solutions, integrations, automation capabilities and business-critical systems.
Working closely with colleagues across the BI Squad and wider IT teams, the Junior Data Engineer will develop technical skills while contributing to the delivery of modern, secure and scalable data solutions that support the firm’s strategic objectives.
The work you will be doing
The role will support the firm’s data strategy by assisting with the development and support of data platforms, integrations, reporting solutions and business systems.
Birketts is continuing to develop a modern Microsoft-based data and application technology stack, including Azure Enterprise Data Warehouses, data lakehouse technologies, enterprise integration services and Microsoft Fabric.
The successful candidate will help support day-to-day data and systems activity, assist with troubleshooting, contribute to data pipelines and reporting outputs, and progressively build knowledge across the firm’s core systems and data platforms.
- Assist with data-related investigations, system checks, data quality reviews and operational support activities.
- Support the Data Systems Team with day-to-day data, systems and BAU tasks, including tickets managed through Halo and Azure Dev Ops.
- Assist senior team members with ETL/ELT tasks, data pipelines, SQL queries, troubleshooting, ticket logging and ticket management.
- Help monitor and support legacy applications while contributing to the gradual move towards the firm’s modern data and application technology stack.
- Support the development and maintenance of data visualisation and reporting solutions.
- Work closely with Data Engineers, Solution Developers, Cloud Infrastructure Engineers and BI colleagues to build technical knowledge, particularly around Microsoft technologies.
- Support the creation and maintenance of technical documentation, support notes and repeatable processes to improve knowledge sharing within the team.
- Contributes to major incident investigations and root cause analysis, while creating and maintaining knowledge base (KB) articles and operational documentation.
- Learn from assigned tasks and suggest improvements where process, performance or support benefits can be achieved.
- Contribute to the development of a stronger data culture across the organisation by supporting reliable data, reporting and insight delivery.
- Work collaboratively with colleagues across IT and the business, escalating issues appropriately and communicating updates clearly.
Please note that this job profile is not an exhaustive list of duties but merely an outline of the key components of the role.
You may be required by your line manager to take on additional responsibilities when requested.
- What we are looking for
- A data science, IT or related degree, or relevant experience
- Strong interest in data, reporting, systems and automation.
- Willingness to learn and develop technical skills through hands‑on work.
- Good problem‑solving skills and attention to detail.
- Ability to follow structured processes and work through technical issues logically.
- Clear communication skills, including the ability to ask questions and escape appropriately.
- Collaborative approach and willingness to work with colleagues across IT and the wider business.
- A proactive mindset, with a focus on improving processes and building sustainable solutions.
- Exposure to, or an interest in developing skills across some of the following areas:
- Data analytics or data science.
- SQL, T-SQL, Python, C# or similar programming/query languages.
- Microsoft Fabric.
- Cloud-based SQL databases.
- Microsoft Enterprise Data Warehouse concepts.
- SQL Server Integration Services, SSIS.
- Business intelligence tools such as Power BI or SSRS.
- Azure Dev Ops and source control.
- No-code or low-code tools.
- General IT skills and good working knowledge of Microsoft Office.
- Hybrid Working
Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home and office working.
This role attracts a split of 60% office days and 40% working from home days per week.
We welcome applications from people looking for flexible, agile, and part-time roles and we are happy to explore your preferred working patterns as part of your application.
- As a Birketts colleague, you will be eligible to receive a wide range of benefits:
- Long Service holiday award – 1 extra week every 10 years continuous service
- Private Healthcare with BUPA (offered after probation is passed)
- Staff Profit Share and Individual Performance Bonus Scheme
- Salary sacrifice (Pensions, Staff Profit Share)
- Life Assurance - 4 x salary / Permanent Health Insurance
At Birketts, our culture is driven by ambition and a commitment to positively impact all the communities we serve.
We are dedicated to the success, development, and wellbeing of our colleagues, helping them achieve their goals and seize the opportunities that come with our growth.
Birketts is committed to being an Equal Opportunity Employer.
Our policy is unequivocal: we do not tolerate discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage or civil partnership, pregnancy or maternity, or sexual orientation.
We pride ourselves on being an inclusive organisation that actively promotes equality of opportunity for all, valuing the right mix of talent, skills, and potential.
We welcome applications from a diverse range of candidates, and selection for roles is based solely on individual merit.
If you require this advert in an accessible format, please visithttps://diversityjobsgroup. com/company/birketts/
Artificial Intelligence (AI)
At Birketts, we recognise the evolving role of artificial intelligence (AI) in the legal profession and recruitment.
We welcome innovation and understand that candidates may use AI tools to support their job applications.
However, we expect all applicants to use AI responsibly and ethically.
Our expectations regarding AI use in applications
- Your application should reflect your own voice, experiences, and insights. AI may assist in structuring or refining your responses, but it must not replace your personal input.
- Do not use AI to misrepresent your qualifications, experiences, or skills. Any form of exaggeration or fabrication may result in rejection from the process.
- If you have used AI tools to assist with your application, be prepared to discuss how and why you used them during the interview process.
- Do not submit content generated by AI tools that may include personal or sensitive data not intended for public disclosure.
- AI-generated content should be reviewed and edited by you to ensure accuracy, relevance, and alignment with the role and our firm’s values.
We are committed to fair and inclusive recruitment practices.
The use of AI should enhance, not compromise, your application.
We encourage candidates to demonstrate critical thinking, commercial awareness, and a genuine interest in our firm.
If you have any questions about our expectations or the use of AI in your application, please contact our Talent Acquisition Team viatalent@birketts. co. uk
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Junior Data Engineer employer: Birketts LLP
Birketts LLP is an excellent employer, offering a dynamic work environment in Bristol where you can lead and shape a new Residential Real Estate team. With a strong emphasis on client service and business development, employees benefit from flexible hybrid working arrangements, generous holiday allowances, private healthcare, and a robust pension scheme, all fostering a culture of growth and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
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We think you need these skills to ace Junior Data Engineer
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.
