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- Tasks: Join our team to design and implement data pipelines and ensure data quality.
- Company: Be part of a dynamic team working on cutting-edge data engineering projects.
- Benefits: Enjoy a hybrid work model with 3 days in the office and potential contract extension.
- Why this job: This role offers hands-on experience with ETL processes and collaboration with senior engineers.
- Qualifications: Experience in data engineering and familiarity with data pipeline design is required.
- Other info: Initial contract is for 6 months, perfect for gaining valuable industry experience.
The predicted salary is between 36000 - 60000 £ per year.
Job Description We are looking for a skilled Data Engineer to join our team on a contract basis. This is an exciting opportunity for someone with experience in designing and implementing data pipelines and data stores, and ensuring data quality. You will be part of a dynamic team working on cutting-edge data engineering projects. Key Responsibilities: Design and implement data pipelines and data stores to acquire and prepare data, following the designs set by senior data engineers. Apply data engineering standards and tools to create and maintain pipelines for extracting, transforming, and loading (ETL) data. Conduct routine data quality checks and implement remediation processes to ensure data integrity and reliability. Collaborate with senior members of the data engineering community to ensure the delivery of high-quality data solutions. Initial contract duration is 6 months, with a possibility of extension based on project needs. Hybrid mode 3 days from office. How to Apply: Please submit your CV to be considered for this opportunity. …
PostgreSQL Data Engineer employer: MarkJames Search
Contact Detail:
MarkJames Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PostgreSQL Data Engineer
✨Tip Number 1
Fokussiere dich auf deine praktischen Erfahrungen mit PostgreSQL und ETL-Prozessen. Bereite konkrete Beispiele vor, die zeigen, wie du Datenpipelines entworfen und implementiert hast.
✨Tip Number 2
Zeige deine Fähigkeit zur Zusammenarbeit im Team. Bereite dich darauf vor, über deine Erfahrungen in der Zusammenarbeit mit anderen Ingenieuren zu sprechen und wie du zur Qualität der Datenlösungen beigetragen hast.
✨Tip Number 3
Informiere dich über die neuesten Trends und Technologien im Bereich Data Engineering. Dies zeigt dein Engagement für kontinuierliches Lernen und deine Bereitschaft, innovative Lösungen zu entwickeln.
✨Tip Number 4
Bereite dich darauf vor, spezifische Fragen zu Datenqualitätsprüfungen und -prozessen zu beantworten. Zeige, dass du ein tiefes Verständnis für die Bedeutung von Datenintegrität und Zuverlässigkeit hast.
We think you need these skills to ace PostgreSQL Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Data Engineer as outlined in the job description. Highlight your experience with data pipelines, ETL processes, and data quality checks in your application.
Tailor Your CV: Customize your CV to reflect your relevant skills and experiences that align with the job requirements. Emphasize your experience in designing and implementing data pipelines and any tools you have used in the past.
Highlight Collaboration Skills: Since the role involves collaboration with senior members of the data engineering community, make sure to include examples of teamwork and communication in your application. This will show that you can work well in a dynamic team environment.
Proofread Your Application: Before submitting your application, carefully proofread your CV to ensure there are no errors or typos. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at MarkJames Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with PostgreSQL and any relevant data engineering tools. Highlight specific projects where you designed and implemented data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Data Quality Awareness
Since ensuring data quality is a key responsibility, come equipped with examples of how you've conducted data quality checks in the past. Discuss any remediation processes you've implemented to maintain data integrity and reliability.
✨Collaborate and Communicate
Emphasize your ability to work within a team, especially with senior data engineers. Share experiences where collaboration led to successful project outcomes, and be ready to discuss how you handle feedback and incorporate it into your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data engineering projects and team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
