Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data architecture, transforming raw data into valuable insights.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make a real impact in the tech world.
- Qualifications: Experience with data pipelines, programming languages, and a degree in STEM or related field.
- Other info: Dynamic role with potential for career advancement and collaboration with top professionals.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the data operations infrastructure, manage and optimise performance, reliability, and scalability of the system to meet growing demands on ingestion and processing pipelines.
To succeed in this data engineering position, you should have strong problem‑solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages.
Your Skills and Knowledge- Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services.
- Proficient in DataOps methodologies and tools, including experience with CI/CD pipelines, containerisation, and workflow orchestration.
- Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.).
- Knowledge of programming languages (e.g. Java, Python, SQL).
- Hands‑on experience with SQL/NoSQL database design.
- Degree in STEM, or similar field; a Master's is a plus.
- Data engineering certification (e.g. IBM Certified Data Engineer) is a plus.
- Orchestration ingestion and storage of raw data into structured or unstructured solutions.
- Design, develop, deploy and support data infrastructure, pipelines and architecture.
- Implement reliable, scalable, and tested solutions to automate data ingestion.
- Development of systems to manage batch processing and real‑time streaming of data.
- Evaluate business needs and objectives.
- Support implementation of data governance requirements.
- Facilitate pipelines, which prepare data for prescriptive and predictive modelling.
- Working with domain teams to scale the processing of data.
- Identify opportunities for data acquisition.
- Combine raw information from different sources.
- Manage and maintain automated tools for data quality and reliability.
- Explore ways to enhance data quality and reliability.
- Collaborate with data scientists, IT and architects on several projects.
Data Engineer employer: Morson Talent
Contact Detail:
Morson Talent 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 fellow data engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and Big Data tools. 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 problem-solving skills. Be ready to tackle technical questions and case studies that test your knowledge of DataOps methodologies and programming languages like Python and SQL.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, ETL/ELT frameworks, and any relevant programming languages. We want to see how your skills match the job description, so don’t be shy about showcasing your technical expertise!
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 background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Morson Talent
✨Know Your Data Tools
Make sure you brush up on your knowledge of data processing tools like Spark, Airflow, and Hive. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in relation to data architecture and pipeline optimisation. Think of specific scenarios where you identified a problem, implemented a solution, and the impact it had on the project.
✨Familiarise Yourself with DataOps
Since DataOps is crucial for this role, ensure you understand its methodologies and tools. Be prepared to discuss your experience with CI/CD pipelines and containerisation, and how these practices can enhance data reliability and scalability.
✨Communicate Effectively
Collaboration is key in this role, so practice articulating your thoughts clearly. Be ready to explain complex technical concepts in simple terms, especially when discussing how you would work with data scientists and IT teams on various projects.
