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For Companies At a Glance
- Tasks: Build and maintain data pipelines, automate data movement, and ensure data quality.
- Company: Join a supportive team at a growing data function that values its people.
- Benefits: Competitive salary, wellbeing culture, flexible working, and generous holiday allowance.
- Why this job: Make a real impact in data engineering while collaborating with a dynamic BI team.
- Qualifications: Strong SQL skills and a passion for data engineering.
- Other info: No CV needed to apply; just fill out your details and LinkedIn profile.
The predicted salary is between 45000 - 50000 £ per year.
Overview
What We’re Looking For – We’re looking for a Data Engineer to help drive our data capabilities forward. If you’re passionate about data, problem-solving, and building reliable systems, this could be your next step.
Why join Stowe? You’ll be part of a growing data function where your work has real impact — helping to build and shape the foundations of our data engineering capability. You’ll collaborate with a supportive BI team while enjoying a hybrid setup in a business that genuinely cares about its people.
Responsibilities:
- Support the development and maintenance of data pipelines and workflows
- Use Azure Data Factory to automate and orchestrate data movement
- Write and optimise SQL queries to transform and manage data
- Assist with data modelling and transformations (dbt)
- Collaborate with our BI team to deliver clean, reliable datasets for Power BI
- Ensure data quality, consistency, and governance across systems
- Integrate data from internal and external sources, including APIs
- Work closely with stakeholders to understand reporting and data needs
- Help acquire firms build data capability from scratch
Essential qualifications:
- Strong SQL skills and understanding of relational databases
- Experience in a data analyst or reporting role
- Understanding of data warehousing and modelling concepts
- A genuine interest in progressing into a data engineering role
- A sharp, detail-oriented problem solver
Desirable qualifications:
- Exposure to Azure Data Factory, dbt, or similar tools
- Experience with Power BI or other reporting platforms
- Knowledge of APIs and data integrations
- Familiarity with cloud environments (e.g. Azure)
- Experience with version control (e.g. Git)
Office location: Candidate needs to be within a commutable distance for team working in our Leeds or Manchester offices.
Benefits:
- Salary (£45,000-50,000)
- Bonus
- A wellbeing culture, including Mental Wellbeing days, and access to counselling sessions
- Volunteering leave
- Diversity public holidays
- 26 days holiday
- Enhanced adoption, maternity and paternity pay
- Paid leave for fertility treatment
- Emergency dependants leave
- Bereavement leave
- Medicash health insurance - 24/7 GP’s, dental, counselling, gym discounts
- Training grants
- Life Assurance
- Contributory pension
- Flexible working
Note: You don’t need a CV to apply; simply fill out the 3 fields and a copy of your LinkedIn profile. If submitting a CV, consider omitting photo, age, and other information not relevant to the role to help reduce unconscious bias.
Data Engineer in Leeds employer: Stowe Family Law LLP
Contact Detail:
Stowe Family Law LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Leeds
✨Tip Number 1
Get your LinkedIn profile in tip-top shape! Make sure it highlights your SQL skills and any relevant experience. Recruiters love a well-crafted profile, so let’s show them what you’ve got!
✨Tip Number 2
Network like a pro! Reach out to current employees at Stowe or similar companies on LinkedIn. A friendly chat can give you insider info and might just land you a referral!
✨Tip Number 3
Prepare for those interviews! Brush up on your data engineering concepts, especially around Azure Data Factory and SQL queries. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy—just fill out the fields and link your LinkedIn. We’re excited to see your application come through!
We think you need these skills to ace Data Engineer in Leeds
Some tips for your application 🫡
Show Your Passion for Data: When you're filling out your application, let your enthusiasm for data shine through! We want to see that you’re genuinely excited about problem-solving and building reliable systems. Share any relevant experiences or projects that highlight your passion.
Tailor Your Application: Make sure to customise your application to match the job description. Highlight your SQL skills and any experience with Azure Data Factory or data modelling. This helps us see how you fit into our team and the role we’re looking to fill.
Keep It Clear and Concise: We appreciate clarity! When writing your application, be straightforward and to the point. Avoid jargon unless it’s relevant, and make sure your key skills and experiences stand out. This makes it easier for us to see your potential.
Apply Through Our Website: Don’t forget to apply through our website! It’s super easy – just fill out the three fields and link your LinkedIn profile. If you choose to submit a CV, remember to keep it relevant and bias-free by omitting unnecessary details.
How to prepare for a job interview at Stowe Family Law LLP
✨Know Your SQL Inside Out
Since strong SQL skills are essential for this role, make sure you brush up on your SQL knowledge. Prepare to discuss your experience with writing and optimising queries, and be ready to solve some SQL problems during the interview.
✨Familiarise Yourself with Azure Data Factory
As this position involves using Azure Data Factory, it’s a good idea to get comfortable with its features. If you can, try to set up a small project or demo to showcase your understanding of automating and orchestrating data movement.
✨Understand Data Modelling Concepts
Since data modelling is part of the job, take some time to review key concepts and best practices. Be prepared to discuss how you’ve applied these in previous roles or projects, especially if you have experience with dbt.
✨Show Your Problem-Solving Skills
This role requires a sharp, detail-oriented problem solver. Think of examples from your past experiences where you tackled complex data challenges. Be ready to explain your thought process and how you arrived at solutions.