At a Glance
- Tasks: Design and develop scalable data pipelines to drive business insights.
- Company: Forward-thinking organisation where data fuels innovation.
- Benefits: Competitive salary, flexible work, and opportunities for continuous growth.
- Other info: Collaborative environment with cutting-edge tools and technologies.
- Why this job: Make a real impact by shaping the future of data.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms.
Data Engineer – Sheffield (3 days a week onsite) - Up to £60K
We’re working with a forward‑thinking organisation where data powers every decision and innovation. They’re looking for a Data Engineer who’s passionate about building scalable systems and shaping the future of data.
Why You’ll Love This Role
Impact That Matters: Your work will underpin the insights and decisions that drive the business forward.
End-to-End Ownership: From designing pipelines to optimising platforms, you’ll have the freedom to innovate.
Continuous Growth: Work with cutting‑edge tools, collaborate across teams, and explore emerging technologies.
What You’ll Be Doing
- Design, develop, and deploy secure, scalable data pipelines.
- Integrate data from internal systems, APIs, and third‑party platforms into unified warehouses or lakes.
- Model data for consistency, accessibility, and reusability across the business.
- Collaborate with analysts, scientists, and business leaders to deliver actionable insights.
- Implement data quality checks, governance, and compliance with GDPR.
- Explore new tools and lead migrations to modern cloud platforms like AWS, Azure, or GCP.
What We’re Looking For
- Proven experience as a Data Engineer or in a similar data‑focused role.
- Strong skills in SQL and Python, plus ETL/ELT pipelines and data modelling.
- Hands‑on experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery.
- Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a bonus.
- Knowledge of frameworks such as Airflow, dbt, Prefect, and CI/CD pipelines.
- A collaborative mindset and the ability to translate technical concepts into business impact.
Apply Now
Ready to make an impact? Apply now and help turn data into something extraordinary.
We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you directly. We may contact you from time to time about other relevant roles. Your personal information will be securely held on our CRM system.
Location
Sheffield, England, United Kingdom
Seniority level
Mid‑Senior level
Employment type
Full-time
Job function
Information Technology
#J-18808-Ljbffr
Data Engineer in Sheffield employer: Boost Talent ltd
As a leading employer in the public sector, we offer a dynamic work environment in Leeds or Newcastle, where you can make a meaningful impact through digital transformation projects. Our culture promotes collaboration and innovation, providing ample opportunities for professional growth and development. With competitive pay and a commitment to employee well-being, we ensure that our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Sheffield
✨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 Boost Talent ltd!
✨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 Data Engineer at Boost Talent ltd.
✨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 Boost Talent ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Boost Talent ltd, 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!
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 Boost Talent ltd, 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 Boost Talent ltd. 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 Boost Talent ltd
✨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 Boost Talent ltd!
✨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.
