At a Glance
- Tasks: Own data quality and shape a modern data platform with innovative tools.
- Company: Join a dynamic team in a remote-first environment focused on data transformation.
- Benefits: Salary up to £50,000, remote work, monthly office trips, and strong development focus.
- Other info: Engage with stakeholders and tackle meaningful data challenges across the organisation.
- Why this job: Make a real impact on data quality and governance while growing your career.
- Qualifications: Experience as a Data Engineer with skills in SQL, Python, and data quality improvement.
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 Shrewsbury 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 Shrewsbury
✨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 Shrewsbury
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 with data quality, Microsoft Fabric, and SQL to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how your experience aligns with our needs. Don’t forget to mention your stakeholder engagement skills and how you can contribute to our data transformation journey.
Showcase Your Technical Skills:When applying, be specific about your technical expertise. Mention your experience with KQL, PySpark, and any relevant projects you've worked on. We want to see how you’ve tackled data quality issues in the past!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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.
✨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.
✨Engage Stakeholders Effectively
Since stakeholder engagement is key, think about how you can communicate technical issues in a way that highlights their business impact. Practice explaining complex concepts in simple terms to show you can bridge the gap between tech and business.
✨Be Ready for Technical Questions
Expect some technical questions during the interview. Brush up on writing complex SQL queries and using PySpark. You might be asked to solve a problem on the spot, so practice coding challenges related to data engineering.
