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- Tasks: Develop data pipelines and ensure data accuracy for business users.
- Company: Join a leading company in the Energy sector, making a real impact.
- Benefits: Flexible working options and opportunities for long-term contracts.
- Why this job: Be part of a dynamic team, enhancing your skills in data management and optimisation.
- Qualifications: Strong analytical skills and experience in data extraction and processing required.
- Other info: Confidential conversations available for interested candidates.
The predicted salary is between 36000 - 60000 £ per year.
We are delighted to be working with our market leading Energy sector client, and offering you the chance to join them on either a staff, or long term contract basis.
In this role you will be responsible for the development of data pipelines for modelling, data provisioning, performance tuning, and optimisation. By guaranteeing the availability, accuracy, and accessibility of important corporate datasets, you will assist business end users as well as IT engineers. This will entail defining, agreeing upon, and implementing procedures for data management, access control, and security in collaboration with the business and system owners of the company's major data applications.
Responsibilities:
- Develop and maintain architecture and systems documentation;
- Work with other departments to make sure data needs are met;
- Work with other IT teams to deliver solutions;
- Provide technical support and monitoring within the client’s data platform;
- Build and maintain data pipelines from internal databases and SaaS applications;
- Provide technical expertise, guidance, and best practices;
- Maintain and contribute to the continuous development of the client’s data platform.
In order to be successful in this position, you should be able to analyse data requirements, go over the source datastore's data structure, and put in place the extraction pipelines and storage needed for the extracted dataset. You will ideally possess strong analytical and problem-solving skills in addition to demonstrated expertise in data extraction, analysis, processing, and management.
Get in touch for a confidential conversation!
Data Engineer employer: FT Recruitment Group
Contact Detail:
FT Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data technologies and tools mentioned in the job description. If the role requires experience with certain databases or data processing frameworks, make sure you can discuss your familiarity or experience with them during any conversations.
✨Tip Number 2
Network with professionals in the energy sector or data engineering field. Attend relevant meetups or webinars to connect with potential colleagues or industry insiders who might provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss real-world examples of how you've developed data pipelines or optimised data processes in previous roles. Being able to articulate your problem-solving approach will demonstrate your capability and fit for the position.
✨Tip Number 4
Research the company's data platform and any recent projects they've undertaken. Showing that you understand their current challenges and how you can contribute to their goals will set you apart from other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and requirements of the Data Engineer position. Highlight key skills such as data pipeline development, performance tuning, and collaboration with IT teams.
Tailor Your CV: Customise your CV to reflect your experience in data extraction, analysis, and management. Include specific examples of projects where you developed data pipelines or optimised data processes, ensuring to use relevant keywords from the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the energy sector. Mention how your skills align with the company's needs and provide examples of how you've successfully tackled similar challenges in the past.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at FT Recruitment Group
✨Understand the Data Pipeline Process
Make sure you have a solid grasp of how data pipelines work, from extraction to storage. Be prepared to discuss your experience with building and maintaining these pipelines, as well as any specific tools or technologies you've used.
✨Showcase Your Analytical Skills
Highlight your analytical and problem-solving abilities during the interview. Be ready to provide examples of how you've tackled complex data challenges in the past and the impact your solutions had on the business.
✨Familiarise Yourself with Data Security Practices
Since the role involves implementing procedures for data management and access control, brush up on best practices for data security. Be prepared to discuss how you would ensure the accuracy and accessibility of corporate datasets.
✨Collaborate and Communicate Effectively
Emphasise your ability to work with cross-functional teams. Share examples of how you've collaborated with other departments to meet data needs and delivered solutions, showcasing your communication skills.
