At a Glance
- Tasks: Build and maintain robust data pipelines using modern tools like Microsoft Fabric.
- Company: Join a growing international organisation that values data-driven solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on knowledge sharing and best practices.
- Why this job: Make a real impact by solving data problems and collaborating with business users.
- Qualifications: Strong experience in data engineering, SQL, and Python or PySpark.
The predicted salary is between 60000 - 80000 £ 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 in Stoke-on-Trent employer: Humand Talent
Join a dynamic UK tech business that values innovation and collaboration, offering you the chance to take ownership of a live SaaS platform. With a strong focus on employee growth, you'll have opportunities to mentor others and shape the technical direction of the company while enjoying a supportive work culture that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - ID44669 in Stoke-on-Trent
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Humand Talent!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer - ID44669 at Humand Talent.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Humand Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - ID44669 at Humand Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer - ID44669 in Stoke-on-Trent
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Humand Talent, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Humand Talent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Humand Talent
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Humand Talent!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
