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- Tasks: Optimise data assets and build ingestion pipelines for diverse sources.
- Company: Thriving Internet Marketing Agency in Liverpool with a customer-centric approach.
- Benefits: Flexible hybrid working, private health insurance, and performance rewards.
- Why this job: Join a market leader and make a real impact in the data engineering field.
- Qualifications: Strong Python and SQL skills, experience with cloud platforms, and understanding of CI/CD.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 42000 - 58000 £ per year.
Data Engineer
- Opportunity for a Data Engineer to join an exciting Internet Marketing Agency in Liverpool
- Salary up to £50,000 + some fantastic benefits including hybrid working, a collaborative environment and private health insurance
- Apply online or contact Chelsea Hackett via Chelsea.hackett@searchability.com
WHO WE ARE:
We are a thriving agency in Liverpool looking to recruit a Data Engineer to join our growing function. With over 20 years of business under our belt we are a market leader within the industry and have a customer-centric approach, aiming to deliver high-quality service and build lasting relationships with our clients.
OUR BENEFITS:
- Flexible and hybrid working
- Autonomous working
- Companywide collaborative events
- Performance reward and achievements
- Private Health Insurance
- Pension Contribution
- And more…
WHAT WILL YOU BE DOING?
In this role, you’ll play a key part in optimising our data assets by building and refining ingestion pipelines for diverse sources such as vehicle stock, pricing, offers, and images. You’ll develop analytics-ready data models in dbt to empower analysts and data scientists, while implementing and maintaining CI/CD pipelines to ensure robust testing and seamless deployments. Working within our Azure infrastructure, you’ll focus on performance optimisation, contribute to team standards through code reviews, and stay ahead of emerging automotive datasets to recommend new sources. You’ll also create clear, comprehensive documentation to accelerate understanding and maximise the value of our data.
DATA ENGINEER – ESSENTIAL SKILLS
- Stakeholder Engagement
- Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc.
- Experience working with a cloud platform i.e., AWS, Azure, GCP etc.
- Understanding of CI/CD concepts
- Strong Python skills
- Advanced SQL skills
TO BE CONSIDERED…
Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com. By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Data Engineer employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and analytics-ready models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with cloud platforms like Azure and your understanding of CI/CD concepts. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, it shows you’re serious about joining our fantastic team and contributing to our collaborative environment.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ELT workflows, cloud platforms, and any relevant projects that showcase your Python and SQL skills. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your skills align with our needs. Don’t forget to mention your interest in working in a collaborative environment like ours.
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them! Whether it's building ingestion pipelines or optimising data models, we love seeing real examples of your work. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen to join our thriving agency!
How to prepare for a job interview at Searchability®
✨Know Your Data Tools
Make sure you brush up on your knowledge of data engineering tools like dbt, SQL, and cloud platforms such as Azure. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This could involve optimising data pipelines or improving performance. Highlighting your analytical thinking will impress the interviewers.
✨Engage with Stakeholders
Since stakeholder engagement is key, think of instances where you've collaborated with non-technical teams. Be ready to explain how you communicated complex data concepts in a way that was easy for them to understand. This shows your ability to bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This not only demonstrates your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!
