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- Tasks: Manage and transform data to meet business needs in a legal setting.
- Company: Join a forward-thinking legal tech firm with a focus on innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by ensuring data quality and compliance in a dynamic environment.
- Qualifications: Strong T-SQL skills and experience with Azure Data Factory and SSRS/SSIS.
- Other info: Collaborative culture with a focus on data governance and compliance.
The predicted salary is between 36000 - 60000 £ per year.
The Data Engineer plays a critical role in managing, processing, and transforming data to meet business needs in a legal setting. The role involves liaising with internal stakeholders to understand data requirements, building robust data pipelines, and ensuring data quality. The ideal candidate should have solid T‑SQL knowledge, experience with SSRS/SSIS, and familiarity with Azure data platforms, specifically Azure Data Factory (ADF). Experience with MS Purview and migrating from SSRS to Power BI is desirable.
Key Responsibilities
- Collaborate with legal and IT teams to understand data needs and translate them into technical requirements.
- Design, develop, and maintain data pipelines using T‑SQL and Azure Data Factory to ensure seamless data flow.
- Develop and maintain Power BI semantic models; manage the transition to Power BI for advanced data visualisation.
- Support SSIS packages to manage ETL processes and ensure efficient data extraction, transformation, and loading.
- Implement data governance practices, leveraging MS Purview for data cataloguing and compliance.
- Monitor data quality and ensure data accuracy and consistency throughout all stages of processing.
- Provide technical support and training to colleagues on data-related processes and tools.
- Participate in data-related projects, ensuring compliance with legal and regulatory standards.
- Troubleshoot and resolve data‑related issues in a timely manner.
- Take ownership of any other tasks and responsibilities as required.
Skills, Knowledge and Expertise
- Proven experience in data engineering, with strong T‑SQL skills and a solid understanding of database design.
- Proficiency in SSRS/SSIS and experience building complex reports and ETL processes.
- Experience with Azure data platforms, specifically Azure Data Factory (ADF), for data pipeline creation.
- Knowledge of MS Purview for data governance and compliance.
- Experience migrating from SSRS to Power BI is a strong advantage.
- Understanding of data security and compliance in a legal setting.
We are happy to talk flexible working with our Flex Forward scheme. We would encourage you to discuss our approach to flexible working during the hiring process if you would like to explore this further.
Data Engineer in Bristol employer: DAC Beachcroft
Contact Detail:
DAC Beachcroft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of your projects, especially those involving T-SQL, Azure Data Factory, or Power BI. Having tangible examples of your work can really set you apart during interviews.
✨Ace the Interview
Prepare for your interview by brushing up on common data engineering questions and scenarios. Be ready to discuss how you've tackled data quality issues or built data pipelines in the past. Confidence and clarity can make a huge difference!
✨Apply Through Our Website
We love seeing applications come through our website! It shows you're genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your T-SQL skills, experience with Azure Data Factory, and any work you've done with SSRS/SSIS. We want to see how your background fits our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Don’t forget to mention your experience with Power BI and MS Purview if applicable.
Showcase Relevant Projects: If you've worked on projects that involved data pipelines or ETL processes, make sure to include them in your application. We love seeing real-world examples of your skills in action, especially in a legal context!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at DAC Beachcroft
✨Know Your Tech Inside Out
Make sure you brush up on your T-SQL skills and get familiar with Azure Data Factory. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Understand the Legal Context
Since this role is in a legal setting, it’s crucial to understand how data governance and compliance work in that environment. Familiarise yourself with MS Purview and be prepared to talk about how you would ensure data quality and compliance in your projects.
✨Showcase Your Collaboration Skills
This position involves liaising with various teams, so be ready to share examples of how you've successfully collaborated with stakeholders in the past. Highlight any experiences where you translated technical requirements into actionable tasks for non-technical team members.
✨Prepare for Problem-Solving Questions
Expect to face questions about troubleshooting data-related issues. Think of specific challenges you've encountered and how you resolved them, especially in relation to ETL processes or data pipeline management. This will demonstrate your critical thinking and problem-solving abilities.
