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For Companies At a Glance
- Tasks: Join a dynamic team to build innovative data warehouses and manage growing data from millions of users.
- Company: Be part of a cutting-edge tech unicorn transforming entertainment with AI technology.
- Benefits: Enjoy remote work flexibility, collaborate globally, and gain insights from successful entrepreneurs.
- Why this job: Work in a fast-paced environment with passionate individuals and make a real impact in the tech industry.
- Qualifications: 5+ years in data engineering, strong skills in SQL, Python, and cloud platforms like GCP and AWS.
- Other info: Explore various opportunities with a specialist recruitment agency focused on your career growth.
The predicted salary is between 43200 - 72000 £ per year.
We have partnered with a trailblazing tech company revolutionising entertainment with conversational AI and generative AI images. They have positioned themselves as leaders in creating connected, limitless, and immersive AI experiences. They have secured funding to scale at pace and are looking for a Senior Data Engineer to join the team.
The skilled Senior Data Engineer will develop a cutting-edge data warehouse and analytics function and has previously built data warehouses and data lakes in several companies. The user base is growing exceptionally, with 1 million new sign-ups each month, so this role is essential in managing the surge in data from AdTech and MarTech platforms, ensuring compliance with regulations such as LGPD/GDPR, and reducing data silos.
The Senior Data Engineer will be well-versed in working fully remotely with global teams that move and think quickly and work with a positive attitude, passion, vigour, and excitement. You will have strong analytical and problem-solving skills and excellent communication and collaboration abilities; once on board, you will have the opportunity to work with like-minded entrepreneurs who have scaled multiple businesses and have had seven successful exits between them.
As part of the core responsibilities, you will:
- Design and maintain robust data warehouse and data lake architectures using platforms like Google BigQuery, AWS, and Azure.
- Develop and manage ETL processes to ensure data quality and consistency.
- Optimise data storage and retrieval.
- Collaborate with Business Analysts, marketing, and analytics teams to facilitate data.
You will have strong proficiency in SQL, Python, and ETL tools and experience in cloud platforms such as GCP, AWS, and Azure. You will have at least five years of data engineering experience, particularly in marketing and advertising data, and hands-on experience integrating data from various sources, including APIs and transactional databases.
If the Senior Data Engineer role doesn’t align with your preferences, but you are open to exploring other opportunities, feel free to connect with us for a discussion.
Senior Data Engineer employer: Consortia
Contact Detail:
Consortia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in conversational AI and generative AI images. Understanding the technology behind the company’s products will not only help you during interviews but also demonstrate your genuine interest in their mission.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with cloud platforms like Google BigQuery, AWS, and Azure. Engaging with industry experts can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences in building data warehouses and lakes. Be ready to share specific examples of how you managed data from AdTech and MarTech platforms, as this will be crucial for the role.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical challenges that may arise during the interview process. Practice common data engineering scenarios and think about how you would optimise data storage and retrieval in a fast-paced environment.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building data warehouses and lakes, especially using platforms like Google BigQuery, AWS, and Azure. Emphasise your proficiency in SQL, Python, and ETL tools, as well as your experience with AdTech and MarTech data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for working with cutting-edge technology and your excitement about the company's mission. Mention specific projects or experiences that demonstrate your analytical and problem-solving skills relevant to the role.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in data engineering, particularly in marketing and advertising contexts. Use metrics to quantify your impact, such as improvements in data processing times or successful integrations of various data sources.
Highlight Remote Work Skills: Since the role involves working fully remotely, emphasise your experience collaborating with global teams. Discuss any tools or methods you use to maintain communication and productivity in a remote setting.
How to prepare for a job interview at Consortia
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data warehouses and lakes, particularly using platforms like Google BigQuery, AWS, and Azure. Highlight specific projects where you developed ETL processes and ensured data quality.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your analytical skills. Prepare examples of how you've tackled complex data challenges in previous roles, especially in the context of AdTech and MarTech.
✨Emphasise Collaboration and Communication
Since the role involves working with global teams, be ready to discuss how you've successfully collaborated with Business Analysts and marketing teams. Share examples of how effective communication has led to successful project outcomes.
✨Understand Compliance Regulations
Familiarise yourself with LGPD and GDPR regulations as they pertain to data management. Be prepared to discuss how you've ensured compliance in past projects, which is crucial for this role.
