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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines to enhance user experience.
- Company: Join a leading Big Tech company focused on data-driven solutions.
- Benefits: Enjoy remote work flexibility and competitive pay within a dynamic team.
- Why this job: Be part of a culture that values innovation and impactful data engineering.
- Qualifications: 5+ years in SQL, Python, and data visualisation tools required.
- Other info: Contract role for 3 months with potential for extension.
The predicted salary is between 48000 - 72000 £ per year.
Contract Role – Data Engineer (Software Development, Big Tech Company) – London/Remote – 3 Months Initial – Inside IR35 PAYE
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
Required Skills:
- 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.
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: Atrium (EMEA)
Contact Detail:
Atrium (EMEA) 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 in relevant online communities or attending industry meetups can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your previous projects that involved designing and maintaining scalable data pipelines. Be ready to explain your thought process and the impact your work had on user experience and customer satisfaction.
✨Tip Number 4
Showcase your ability to work both independently and as part of a team. During any interviews or discussions, highlight examples where you've successfully collaborated with others or taken initiative on projects.
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. Include specific projects where you've designed and maintained data pipelines or worked with BI tools like Azure Data Factory.
Craft a Strong Cover Letter: In your cover letter, emphasise your ability to improve user experience and customer satisfaction through data engineering. Mention any relevant certifications like Six Sigma or ITIL that demonstrate your commitment to quality processes.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've successfully collaborated with teams or presented complex data insights to non-technical stakeholders.
Highlight Relevant Experience: Detail your experience in software development and enterprise-level projects. If you have experience with data analysis, make sure to include that as it’s considered a plus for this position.
How to prepare for a job interview at Atrium (EMEA)
✨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
Excellent communication skills are essential for this role. Practice articulating your thoughts clearly, especially when explaining complex technical concepts. This will help you make a strong impression and show that you can effectively convey information to both technical and non-technical stakeholders.
