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- Tasks: Design and implement data pipelines, ensuring data quality and usability.
- Company: Join a forward-thinking team in Liverpool City Centre with a hybrid work model.
- Benefits: Enjoy 35 days of holiday, mental health support, and a competitive salary.
- Why this job: Shape data strategy and drive business success while working with cutting-edge technologies.
- Qualifications: Experience with unstructured data and strong collaboration skills required.
- Other info: Great opportunities for continuous learning and career growth.
The predicted salary is between 65000 - 70000 £ per year.
We are seeking a talented and experienced Data Engineer to join our innovative and collaborative Database and AI Team. In this role, you will play a key part in shaping our data strategy and driving business success.
Job Overview
- Location: Liverpool City Centre on a hybrid working basis
- Salary: £65,000 - £70,000 depending on experience
- Working hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pm
What you will be doing
- Design and implement robust data ingestion pipelines for unstructured data using modern data engineering tools and frameworks.
- Develop and maintain scalable storage solutions (e.g., data lakes, NoSQL databases) optimized for unstructured data.
- Collaborate with data scientists, analysts, and software engineers to ensure data availability, quality, and usability.
- Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing).
- Implement data governance, metadata management, and data cataloging for unstructured data assets.
- Monitor and optimize data workflows for performance, reliability, and cost-efficiency.
- Ensure compliance with data privacy and security standards.
- Share knowledge and mentor team members.
- Stay ahead of the curve with the latest database technologies.
- Experience with real-time cloud streaming solutions.
What we are looking for
- Experience dealing with unstructured data including voice, chat, image.
- Proven ability to manage secure, high-performance database environments.
- Excellent communication and cross-functional collaboration skills.
- A passion for continuous learning and innovation.
Desirable skills
- Databricks.
- Azure Fabric.
- Confluent/Apache Flink Knowledge.
Benefits
- 35 days’ holiday (including bank holidays) with additional buy/sell options.
- 24/7 mental health support.
Data Engineer employer: Acorn Group
Contact Detail:
Acorn Group 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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving unstructured data. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data ingestion pipelines and collaboration with cross-functional teams. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our innovative team. It shows initiative and enthusiasm, which we really value.
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 unstructured data and any relevant tools you've used. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Projects: If you've worked on any cool projects related to data ingestion or storage solutions, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team!
How to prepare for a job interview at Acorn Group
✨Know Your Data Tools
Familiarise yourself with the modern data engineering tools and frameworks mentioned in the job description. Be ready to discuss your experience with data ingestion pipelines, NoSQL databases, and any relevant technologies like Databricks or Azure Fabric.
✨Showcase Collaboration Skills
Since this role involves working closely with data scientists, analysts, and software engineers, prepare examples of past collaborations. Highlight how you ensured data quality and usability while working in cross-functional teams.
✨Demonstrate Continuous Learning
Express your passion for continuous learning and innovation. Share any recent courses, certifications, or projects that showcase your commitment to staying updated with the latest database technologies and trends.
✨Prepare for Technical Questions
Expect technical questions related to data parsing, extraction, and transformation techniques. Brush up on concepts like NLP, OCR, and real-time cloud streaming solutions, and be ready to explain how you've applied these in your previous roles.