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- Tasks: Develop and maintain data architectures and solutions to enhance data value.
- Company: Join a forward-thinking organisation focused on innovative data management.
- Benefits: Earn £41.35 per hour with potential for contract extension.
- Why this job: Work on exciting projects, collaborate with experts, and make a real impact.
- Qualifications: Bachelor's degree in a technical field and skills in Python, SQL, and data visualisation tools.
- Other info: Opportunity to work independently or as part of a dynamic team.
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.
Job Responsibilities:
- Design, construct, install, test, and maintain highly scalable data management systems.
- Ensure systems meet business requirements and industry practices.
- Design, implement, automate, and maintain large-scale enterprise data ETL processes.
- Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
Skills:
- Ability to work as part of a team, as well as work independently or with minimal direction.
- Excellent written, presentation, and verbal communication skills.
- Collaborate with data architects, modelers, and IT team members on project goals.
- Strong PC skills, including knowledge of Microsoft SharePoint.
- Programming Language: Python and SQL.
- Data Modeling, visualisation - Tableau, MicroStrategy, etc., and integration tools: Azure Data Factory, Airflow, etc.
Education/Experience:
A bachelor's degree in a technical field, such as computer science, computer engineering, or a related field, is required. Process certification, such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Data Engineer employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure Data Factory and Airflow. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees at StudySmarter through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to a referral.
✨Tip Number 3
Prepare to discuss your previous projects that involved data management systems and ETL processes. Be ready to explain your role, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your communication skills by preparing to articulate complex technical concepts in simple terms. This is crucial for collaborating with team members who may not have a technical background, and it aligns with the job's emphasis on teamwork.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Emphasise your proficiency in Python, SQL, and any data management systems you've worked with.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of the job responsibilities. Mention specific projects where you've designed or maintained data architectures and how you collaborated with teams to achieve project goals.
Highlight Relevant Skills: In your application, clearly outline your technical skills, especially in data modelling, ETL processes, and tools like Azure Data Factory and Airflow. This will demonstrate your capability to meet the job requirements.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Russell Tobin
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and SQL. Bring examples of past projects where you designed or maintained data management systems, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Team Collaboration
Since the role requires collaboration with data architects and IT team members, share specific instances where you successfully worked as part of a team. Highlight your communication skills and how you contributed to achieving project goals together.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data ETL processes and algorithm development. Practice articulating your thought process when tackling complex data challenges, as this will showcase your analytical skills.
✨Familiarise Yourself with Tools
Make sure you are well-versed in the tools mentioned in the job description, such as Azure Data Factory and Tableau. If possible, prepare to discuss how you've used these tools in previous roles or projects, as this will demonstrate your readiness for the position.
