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- 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.
- Why this job: Shape decisions and drive growth with your data engineering skills.
- Qualifications: Experience with SQL, Python, and big data platforms required.
- Other info: Dynamic role with opportunities for innovation and improvement.
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
Contact Detail:
Innova Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, and be ready to discuss how your skills with SQL, Python, and data solutions can make a real impact. We want you to shine and show them why you’re the perfect fit!
✨Tip Number 3
Don’t forget to follow up after your interviews! A quick thank-you email can go a long way in keeping you top of mind. We believe showing appreciation can set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re here to help you every step of the way, so don’t hesitate to reach out if you need any tips or support.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data engineering shine through! We want to see how you turn complex data into actionable insights and how that excites you. Share specific examples of projects where you've made a real impact.
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the role. Highlight your experience with SQL, Python, and other tools mentioned in the job description. We love seeing how your skills align with what we're looking for, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to see your qualifications and why you’d be a great fit for the team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Innova Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, dbt, Snowflake, SSIS, AWS, and Azure DevOps. Brush up on your knowledge of ETL processes and data warehousing, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where your innovative mindset led to significant improvements. This will demonstrate your ability to drive real business impact, which is key for this position.
✨Understand the Company’s Ethical Purpose
Research the company’s mission and values, especially their ethical focus. Be ready to discuss how your personal values align with theirs and how you can contribute to their goals. This shows that you’re not just looking for any job, but that you genuinely care about their mission.
✨Prepare for Collaboration Questions
Since the role involves working with both technical and non-technical teams, think about how you’ve successfully collaborated in the past. Prepare to share examples that highlight your communication skills and ability to bridge gaps between different teams. This will help illustrate your fit for the collaborative environment they promote.
