At a Glance
- Tasks: Own data quality and shape a modern data platform while working on exciting projects.
- Company: Join a dynamic organisation undergoing a major data transformation.
- Benefits: Up to £50,000 salary, remote work, and monthly office trips.
- Other info: Great opportunities for growth and development with modern tools.
- Why this job: Make a real impact on data quality and governance in a supportive team.
- Qualifications: Experience as a Data Engineer with strong SQL and Python skills.
The predicted salary is between 50000 - 50000 £ per year.
Own data quality end to end while shaping a modern data platform. Focus on data quality and governance, more than just pipelines. Remote first with monthly trips to the office closest to you. Real opportunity to grow and get involved in more projects and a transformation project.
We’re working with a large, complex organisation going through a major data transformation. They’re looking for a Data Engineer to take ownership of data quality across key systems, making sure the data going in is right and the data coming out can be trusted.
What you’ll be doing:
- You’d sit within a central data team working on a modern Microsoft stack (predominantly with Fabric), with strong backing and clear direction.
- Working alongside the Head of Data Transformation, you’ll be involved in creating, owning and improving how data is captured and used across the business.
- You’ll get involved in building data products, working with streaming data, and using tools like Microsoft Fabric, KQL and SQL to deliver scalable solutions.
- You’ll work with SQL and PySpark to monitor, validate and improve incoming data, setting up control tables and checks that flag issues early.
- You’ll dig into problems at source, understand why they’re happening, and work with teams across the business to fix them.
- A big part of the role is stakeholder engagement. You’ll speak to operational teams, understand how data is entered into systems, and challenge where needed to improve standards.
- You’ll translate technical issues into clear business impact, helping teams see why data and quality matter.
What experience you’ll need to apply:
- Background working as a Data Engineer (ideally with Fabric, KQL & SQL).
- Experience with Microsoft Fabric or Azure.
- Strong SQL skills with experience writing complex queries.
- Experience using Python, ideally with PySpark.
- Proven experience improving or monitoring data quality.
- Experience building or supporting ETL or ELT pipelines.
- Comfortable working with stakeholders across the business.
- Confident communicator who can challenge and influence.
What you’ll get in return for your experience:
They’re offering a salary of up to £50,000. It’s a remote first setup, with monthly trips to the office closest to you, whether that’s South West, Midlands or South East. You’ll be joining a supportive team with a clear roadmap and the chance to shape how data quality is handled across the organisation. There’s real scope to grow, working with modern tools and large-scale data. You’ll also benefit from a strong focus on development and the chance to work on meaningful data challenges that impact the whole business.
What's next?
If you like the sound of this Data Engineer role, please apply and we’ll get in touch!
Data Engineer in Brighton employer: ADLIB Recruitment | B Corp™
Join a forward-thinking organisation as a Data Engineer, where you'll play a pivotal role in shaping data quality and governance within a modern data platform. Enjoy the flexibility of a remote-first work culture, complemented by monthly office visits, and immerse yourself in a supportive environment that prioritises employee growth and development. With opportunities to engage in transformative projects and work with cutting-edge technologies, this is an excellent place for those seeking meaningful and rewarding employment.
Contact Details:
ADLIB Recruitment | B Corp™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Brighton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working as Data Engineers. Join relevant online communities or attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric, KQL, and SQL. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've tackled data quality issues in the past and how you can contribute to their transformation project.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make a difference in data quality.
We think you need these skills to ace Data Engineer in Brighton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your background in data engineering, especially with Microsoft Fabric, KQL, and SQL. We want to see how you’ve tackled data quality issues before!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data quality and governance. Share specific examples of how you've improved data processes in the past. This is your chance to show us your personality and enthusiasm for the role!
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your experience with SQL, PySpark, and any relevant tools you’ve used. We’re keen to know how you’ve built or supported ETL/ELT pipelines and tackled data quality challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨Know Your Data Tools
Make sure you brush up on your knowledge of Microsoft Fabric, KQL, and SQL. Be ready to discuss how you've used these tools in past projects, especially in relation to data quality and governance. Showing that you can navigate these technologies will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues in the past. Think about specific instances where you identified a problem, dug into the source, and worked with teams to resolve it. This will demonstrate your proactive approach and ability to collaborate effectively.
✨Engage with Stakeholders
Since stakeholder engagement is key in this role, think about how you can communicate technical issues in a way that highlights their business impact. Prepare to discuss how you've influenced others in previous roles and how you can challenge standards to improve data quality.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current data transformation projects or how the team measures data quality success. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
