At a Glance
- Tasks: Design and build scalable data solutions that drive real business impact.
- Company: Join a highly regarded brand with an ethical purpose at its core.
- Benefits: Enjoy a hybrid work model with flexibility and collaboration.
- Other info: Dynamic role with opportunities for innovation and improvement.
- Why this job: Shape decisions and drive growth with your data engineering skills.
- Qualifications: Experience with SQL, Python, and big data platforms required.
The predicted salary is between 36000 - 60000 £ per year.
We’re delighted to be hiring on behalf of a highly regarded brand with an ethical purpose at their core. And right now, we’re looking for an experienced Data Engineer who loves turning complex data into clear insights that actually get used to drive real business impact. You’ll be building the pipelines, platforms, and tools that help teams across the business move faster and make smarter decisions. In our (completely non-biased) opinion, this is a great position; they have a global presence but from a data engineering perspective, there is so much that can be done. It’s certainly not a role where you will be bored and wondering what to do next.
Responsibilities:
- Designing and building scalable data solutions and BI platforms
- Automating APIs and workflows for real-time data services
- Advancing their CI/CD and DevOps maturity
- Ensuring platform reliability, speed and security
Skills & Experience Required:
- Strong hands-on experience with SQL, Python, dbt, Snowflake, SSIS, AWS, and Azure DevOps
- Skilled in ETL, data warehousing, ingestion pipelines, and big data platforms
- Comfortable collaborating with both technical and non-technical teams
- Curious, problem-solving mindset with a drive for innovation and improvement
Regarding working patterns, here you will enjoy the best of both worlds: spend two days a week in their North Dorset office for collaboration and face-to-face problem solving - with three days working remotely for focus and flexibility. Your work won’t just live in dashboards. It will shape decisions, drive growth, and make a real difference. Sound good? Apply now.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology, Product Management, and Quality Assurance
Industries: Retail, Software Development, and Data Infrastructure and Analytics
Senior Data Engineer employer: Innova Recruitment
Innova Recruitment is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive compensation packages, including a salary range of £85k-£100k, alongside opportunities for professional growth and development within a high-growth environment. The company values hands-on leadership, allowing you to engage directly in impactful engineering projects while working with cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Innova Recruitment!
✨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 at Innova Recruitment.
✨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 Innova Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Innova Recruitment, 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
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 Innova Recruitment, 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 Innova Recruitment. 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 Innova Recruitment
✨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 Innova Recruitment!
✨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.
