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- Tasks: Join us as a Data Engineer to design and maintain scalable data pipelines.
- Company: Work with a leading Big Tech company focused on data-driven solutions.
- Benefits: Enjoy remote work flexibility and a competitive contract pay.
- Why this job: Make an impact by improving user experience and customer satisfaction through data.
- Qualifications: 5+ years in SQL, Python, and data visualisation tools like Tableau required.
- Other info: This is a 3-month contract role with potential for extension.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking an exceptional Data Engineer who will be responsible for performing day-to-day data engineering tasks to support the High Touch Support space, with a focus on improving user experience and customer satisfaction. This includes designing, developing, and maintaining scalable data pipelines, architectures, and solutions that enable the organization to make data-driven decisions and drive business outcomes.
Role Overview:
- Location: London/Remote
- Contract Type: Contract
- Duration: 3 months initially
Skills Required:
- SQL – 5+ years
- Python – 5+ years
- Data Modelling, Data visualisation - Tableau, Micro Strategy etc. and integration tools: Azure Data Factory, Airflow etc. - 5+ years
- BI and integration tools: Azure Data Factory
- Experience with data analysing will be a plus.
- Process certification, such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI
- Software Development, Tech – Enterprise level background is essential
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.
Additional 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.
Please note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.
Data Engineer (Software Development, Big Tech Company) employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Software Development, Big Tech Company)
✨Tip Number 1
Familiarise yourself with the specific tools 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 professionals in the data engineering field, especially those who work in big tech companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those that involved designing and maintaining scalable data pipelines. Be ready to explain your thought process and the impact of your work on user experience and customer satisfaction.
✨Tip Number 4
Brush up on your communication skills, as collaboration with team members is crucial for this role. Practising how to clearly articulate technical concepts to non-technical stakeholders can demonstrate your ability to work effectively within a team.
We think you need these skills to ace Data Engineer (Software Development, Big Tech Company)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data modelling. Emphasise any relevant projects or roles that showcase your ability to design and maintain scalable data pipelines.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the job requirements. Mention specific tools like Azure Data Factory and Airflow that you have experience with.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in data engineering roles. Include metrics or outcomes that demonstrate your impact on user experience and customer satisfaction.
Highlight Soft Skills: Don't forget to mention your communication skills and ability to work both independently and as part of a team. These are crucial for collaborating with data architects and IT team members.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and data modelling during the interview. Be prepared to discuss specific projects where you've designed and maintained scalable data pipelines, as this will demonstrate your hands-on expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data engineering tasks and improving user experience.
✨Emphasise Team Collaboration
Since the role requires collaboration with data architects and IT team members, be ready to discuss your experience working in teams. Share examples of how you've successfully collaborated on projects and contributed to achieving common goals.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and confidently, especially when explaining complex technical concepts. This will help you make a positive impression on the interviewers.
