At a Glance
- Tasks: Design and optimise data pipelines using modern tools like Azure and Snowflake.
- Company: Fast-growing tech business with a collaborative culture.
- Benefits: Hybrid work, extra holiday, enhanced family leave, and wellbeing support.
- Other info: Opportunity for career growth and to explore innovative tools.
- Why this job: Make a real impact in a supportive team while working with cutting-edge technology.
- Qualifications: Experience with T-SQL, SQL Server, and a proactive mindset.
We're looking for a Data Engineer to join a fast-growing technology business that builds and runs the data platforms behind a global operation supporting thousands of customers. This is a genuine opportunity to get hands-on with a modern Azure and Snowflake-based stack, working alongside a collaborative data team that's actively investing in better tooling, cleaner pipelines, and smarter ways of turning data into decisions.
You’ll be involved in designing, building, and improving data pipelines and warehouse solutions, not maintaining legacy spaghetti, but contributing to a platform that’s evolving, with real scope to bring in new ideas around Azure Fabric, Azure Data Factory, and even AI-driven tooling like Snowflake Cortex if that’s an area that interests you. The team is small enough that your work will have visible impact, and supportive enough that you won’t be thrown in the deep end as there’s a genuine "ask for help, share what you know" culture. We’re more interested in attitude than a perfect tick-list: curious, proactive, happy to dig into a problem.
What you’ll be doing:
- Designing, building, and optimising data pipelines and ETL/ELT workflows across SQL Server, Azure SQL, and Snowflake
- Owning small-to-medium pieces of work end-to-end, with support from more experienced colleagues when you need it
- Collaborating with the wider data team on architecture, code quality, and best practice
- Helping shape how the platform evolves, including exploring newer tools like Azure Fabric and Snowflake Cortex
- Supporting and sharing knowledge with colleagues earlier in their data engineering journey
What we’re looking for:
- Solid hands-on experience with T-SQL and SQL Server
- Experience building real-world data pipelines pulling from varied sources (APIs, FTP, direct integrations)
- Some exposure to Snowflake, or a genuine appetite to get stuck in
- A curious, proactive mindset, comfortable owning problems but happy to ask for help when needed
What’s in it for you:
- Hybrid working with just one day a week in the office
- Extra holiday that grows with service, plus your birthday off
- Enhanced family leave (maternity, paternity) and sick pay
- Wellbeing support, including local gym membership and an EAP
- Free on-site parking
If you’re a data engineer who wants to do meaningful, modern work without the bureaucracy of a huge corporate, we’d love to hear from you.
Data Engineer employer: Vocative Consulting
Join a dynamic technology business in East Yorkshire as a Data Engineer, where you'll enjoy a collaborative work culture that prioritises innovation and personal growth. With hybrid working options, generous holiday allowances, and a focus on employee wellbeing, this role offers the chance to make a tangible impact while developing your skills in a supportive environment. Embrace the opportunity to work with cutting-edge tools and contribute to a forward-thinking data platform that values your ideas and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Vocative Consulting!
✨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 Vocative Consulting.
✨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 Vocative Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Vocative Consulting, 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 Data Engineer
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 Vocative Consulting, 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 Vocative Consulting. 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 Vocative Consulting
✨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 Vocative Consulting!
✨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.
