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For Companies At a Glance
- Tasks: Build and maintain data pipelines using modern tools like Microsoft Fabric.
- Company: Join a growing international organisation that values data-driven solutions.
- Benefits: Hands-on role with opportunities for collaboration and skill development.
- Why this job: Make a real impact by solving data problems and delivering high-quality solutions.
- Qualifications: Experience in data engineering, SQL, and proficiency in Python or PySpark.
- Other info: Inclusive workplace welcoming diverse backgrounds and experiences.
The predicted salary is between 36000 - 60000 £ per year.
Love getting stuck into code and solving real-world data problems? Want to work with modern tools in an organisation that values data? Looking for a hands-on role where you can build, improve, and deliver high-quality data solutions?
The Opportunity:
We’re supporting a growing international organisation as they scale their internal data capabilities. They’re hiring a Senior Data Engineer to join a team focused on delivering high-quality, reliable data solutions that power reporting, analytics, and operational insight. This is a hands-on technical role – ideal for someone who enjoys building pipelines, modelling data, and solving problems in a collaborative environment. You’ll work directly with business users to understand what they need from data and then turn that into clean, scalable engineering work.
Why This Role is Great:
- Build and maintain robust data pipelines using Microsoft Fabric
- Bring together data from systems like CRM, ERP, HR and more
- Create clean, structured data models that feed dashboards and reporting tools
- Handle ingestion from databases, APIs, and SaaS platforms
- Ensure high data quality and troubleshoot transformation issues
- Work closely with stakeholders to translate business needs into engineering tasks
- Contribute to a culture of good practices and knowledge sharing with peers
This is a great role for someone who enjoys doing the work – writing clean code, building useful solutions, and collaborating to make things better.
About You:
You’ll be someone who enjoys the technical side of data engineering and wants to get your hands into the tools. The ideal candidate will bring:
- Strong experience as a Data Engineer in a modern cloud-based environment
- Proficiency with Microsoft Fabric, SQL, and either Python or PySpark
- Familiarity with working in notebooks and building robust, reusable code
- Experience working with large and complex datasets
- Understanding of data modelling and data quality processes
- A problem-solving mindset and a collaborative way of working
- The ability to turn real-world business needs into working data pipelines and models
Nice-to-Haves:
- Experience working with CRM, ERP, or HR platforms such as Salesforce, Dynamics, SAP, or similar
- Knowledge of Power BI, Power Query, DAX, or Logic Apps
- Familiarity with CI/CD pipelines or DevOps tooling
- Interest in Direct Lake architecture or broader Microsoft ecosystem tools
Please Note: While we welcome early applications for this position, the interview process may face delays. Our client is currently finalising a key hire who will be involved in the selection for this role. We appreciate your patience and will keep all applicants updated on timelines as they develop.
We Welcome Everyone: Our client is committed to building an inclusive team and workplace. We encourage applications from all backgrounds, especially if you’re excited by the role and bring relevant skills – even if your experience doesn’t perfectly match every bullet.
Apply now through LinkedIn to register your interest and be first in line when interviews begin.
Senior Data Engineer - ID44669 employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - ID44669
✨Tip Number 1
Get to know the company! Research their data projects and tools they use. This will help you tailor your conversations during interviews and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry meetups. A friendly chat can sometimes lead to insider info about the role or even a referral!
✨Tip Number 3
Prepare for hands-on assessments. Brush up on your coding skills, especially in SQL and Python. Practising real-world data problems will give you the confidence to tackle any technical challenges they throw your way.
✨Tip Number 4
Don’t forget to follow up! After interviews, send a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Data Engineer - ID44669
Some tips for your application 🫡
Show Your Passion for Data: Let us see your enthusiasm for data engineering! In your application, mention specific projects or experiences where you tackled real-world data problems. This will help us understand your hands-on approach and love for coding.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Microsoft Fabric, SQL, and Python or PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and bullet points to make it easy for us to read. Highlight your key achievements and skills without overwhelming us with too much information.
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’re in the loop with any updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Humand Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric, SQL, and either Python or PySpark. Brush up on your coding skills and be ready to discuss how you've used these tools in real-world scenarios. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand the Business Needs
Before the interview, think about how data engineering supports business objectives. Be prepared to discuss how you’ve translated business requirements into technical solutions in the past. This shows you can bridge the gap between technical work and business needs.
✨Showcase Problem-Solving Skills
Prepare examples of complex data problems you’ve solved. Discuss the challenges you faced, the steps you took to resolve them, and the outcomes. This will highlight your analytical mindset and collaborative approach, which are key for this role.
✨Engage with Stakeholders
Demonstrate your experience working closely with stakeholders. Share instances where you’ve gathered requirements or provided insights that improved data quality or pipeline efficiency. This will illustrate your ability to communicate effectively and work as part of a team.
