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- Tasks: Design and maintain scalable data pipelines using BigQuery and manage data integration workflows.
- Company: Join a leading Travel E-commerce firm in Tunbridge Wells, known for leveraging data to drive decisions.
- Benefits: Enjoy a hybrid work model with 3 days in the office and 2 days remote.
- Why this job: Be part of a forward-thinking team that values data and innovation in a dynamic industry.
- Qualifications: Experience with GCP/AWS, data warehousing, and tools like Google Analytics 4 is essential.
- Other info: Ideal for those passionate about data and eager to collaborate in a tech-savvy environment.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer – Big Query, Google Analytics 4
Travel E-Commerce
Tunbridge Wells, Kent
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.
Key Responsibilities
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.
Full understanding of version control/GIT and advanced documentation skills.
Collaboration:
Work closely with stakeholders to define data needs and deliver solutions.
Collaborate with the development team to create a cohesive infrastructure where crossover is necessary. Adhering to common development practices already in place.
Analytics & Reporting:
Support the maintenance of analytics tools like Google Analytics 4 (GA4).
Collaborate on visualizing data through popular tools such as Tableau, Power BI, Looker, or Data Studio.
Desirable Skills:
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.
Knowledge of other analytics platforms and methodologies.
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)
Data Engineer employer: CoTalent
Contact Detail:
CoTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with BigQuery and Google Cloud Platform (GCP) by working on personal projects or contributing to open-source projects. 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. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies being used in data engineering.
✨Tip Number 3
Showcase your ability to work collaboratively by participating in team projects or hackathons. Highlight any experiences where you successfully collaborated with stakeholders to deliver data solutions, as this is a key aspect of the role.
✨Tip Number 4
Stay updated on data compliance laws and best practices. Understanding data integrity and security is crucial, so consider taking online courses or certifications that focus on data governance and compliance.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and desirable skills, especially focusing on BigQuery, Google Analytics 4, and data integration workflows.
Tailor Your CV: Customize your CV to highlight relevant experience in building and maintaining data systems and pipelines. Emphasize your familiarity with GCP, AWS, and any data visualization tools you have used, such as Tableau or Power BI.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data and your ability to collaborate with stakeholders. Mention specific projects where you implemented data solutions or optimized data workflows, demonstrating your problem-solving skills.
Highlight Technical Skills: In your application, clearly list your technical skills related to data engineering, including version control (GIT), ETL processes, and any programming languages like Python or R. This will help the employer see your fit for the role at a glance.
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 built or optimized data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Data Integrity Knowledge
Since data integrity is crucial for this role, come equipped with examples of how you've ensured data quality and security in past projects. Discuss any tools or methodologies you used to maintain high standards.
✨Collaboration is Key
This position requires working closely with stakeholders and development teams. Prepare to share experiences where you successfully collaborated on projects, focusing on how you defined data needs and delivered effective solutions.
✨Familiarize Yourself with Analytics Tools
Since the role involves supporting analytics tools like Google Analytics 4 and visualizing data with platforms like Tableau or Power BI, brush up on these tools. Be ready to discuss how you've used them to drive business decisions in previous roles.
