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- Tasks: Design and maintain scalable data pipelines using BigQuery and GCP/AWS tools.
- Company: Join a leading Travel E-commerce firm in Tunbridge Wells, Kent, focused on data-driven decisions.
- Benefits: Enjoy a hybrid work model with 3 days in-office and 2 days remote.
- Why this job: Be part of a forward-thinking team that values innovation and collaboration in data solutions.
- Qualifications: Experience in data engineering, ETL processes, and data visualization tools like Tableau or Power BI.
- Other info: Ideal for those passionate about data integrity and compliance in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Data Engineer – Big Query, Google Analytics 4 Travel E-Commerce
Hybrid – 3 days in office (near station), 2 days remotely
Our client is a leading specialist Travel E-commerce firm based on Tunbridge Wells, Kent.
They are a forward-thinking company leveraging data to drive business decisions. The team utilizes modern tools and technologies, including BigQuery, Google Cloud Platform (GCP), and AWS, to create scalable and efficient data solutions. They’re seeking a Data Engineer passionate about data and experienced in building, maintaining, and optimizing data systems and pipelines.
Data Infrastructure:
Design, build, and maintain scalable data pipelines and architectures using BigQuery or equivalent GCP/AWS cloud tools, as well as interacting with structured MySQL databases that run their websites and systems.
Implement and manage data warehousing solutions and ETL processes.
Data Integration & Management:
Develop and optimize data integration workflows from internal and third party systems.
Ensure data integrity, quality, and security across systems.
Work closely with stakeholders to define data needs and deliver solutions.
Collaborate on visualizing data through popular tools such as Tableau, Power BI, Looker, or Data Studio.
Flexibility and willingness to evaluate and adopt the best tools and approaches for data workflows, including Python, R, or other technologies.
Experience with data visualization tools like Tableau, Power BI, Looker, or Data Studio.
Clear knowledge of data location laws and compliance requirements
Ability to use the outputs to inform website updates. Variant testing, UX and CRO knowledge to achieve this (basic developer skills ideal)
Senior Engineer, Data Engineering employer: CoTalent
Contact Detail:
CoTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Familiarize yourself with BigQuery and Google Cloud Platform (GCP) by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your passion for data engineering.
✨Tip Number 2
Network with professionals in the travel e-commerce sector through LinkedIn or industry meetups. Engaging with others in the field can provide valuable insights and potentially lead to referrals for job openings.
✨Tip Number 3
Stay updated on the latest trends in data integration and management, especially regarding ETL processes. Being knowledgeable about current best practices will make you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your experience with data visualization tools like Tableau or Power BI during interviews. Having specific examples of how you've used these tools to drive business decisions will set you apart from other candidates.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BigQuery, Google Cloud Platform, and AWS. Include specific projects where you've built or optimized data pipelines and mention any relevant tools like Tableau or Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the company's needs. Mention your experience with data integration workflows and your ability to collaborate with stakeholders.
Showcase Relevant Projects: If you have worked on projects involving data warehousing solutions or ETL processes, be sure to include these in your application. Provide details on the technologies used and the impact of your work.
Highlight Compliance Knowledge: Since knowledge of data location laws and compliance is crucial, make sure to mention any relevant experience or training you have in this area. This will demonstrate your understanding of the importance of data integrity and security.
How to prepare for a job interview at CoTalent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with BigQuery, Google Cloud Platform, and AWS. Highlight specific projects where you've designed and maintained data pipelines or implemented ETL processes.
✨Demonstrate Data Integrity Knowledge
Discuss how you ensure data quality and security in your previous roles. Provide examples of how you've managed data integrity across different systems and the tools you used.
✨Collaborate Effectively
Emphasize your ability to work closely with stakeholders. Share experiences where you defined data needs and delivered solutions that met those requirements, showcasing your communication skills.
✨Familiarity with Data Visualization Tools
Mention your experience with data visualization tools like Tableau, Power BI, Looker, or Data Studio. Be ready to discuss how you've used these tools to visualize data and inform business decisions.
