At a Glance
- Tasks: Design and maintain cutting-edge data warehouses and analytics functions.
- Company: Join a trailblazing tech company revolutionising entertainment with AI.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with global teams and like-minded entrepreneurs in a dynamic environment.
- Why this job: Be part of a fast-growing team making a real impact in the AI space.
- Qualifications: 5+ years in data engineering, strong SQL, Python, and ETL skills.
The predicted salary is between 48000 - 72000 £ per year.
Senior Data Engineer – Fully remote
We have partnered with the next tech Unicorn, a trailblazing tech company revolutionising entertainment with conversational AI and generative AI images. Within a short time, 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 aSenior Data Engineer to join the team.
The skilledSenior Data Engineerwill 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.
TheSenior data engineerwill 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. You will also develop and manage ETL processes to ensure data quality and consistency. You will optimise data storage and retrieval and 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.
Consortia is a specialist recruitment agency with consultants focused on global roles within UX, Product, Data, and Engineering markets. 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.
Kindly be aware that due to the high volume of applications, we may not be able to respond to each applicant individually. However, we will keep your details for future reference when a more suitable opportunity becomes available.
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Senior Data Engineer employer: Consortia Group
Join a forward-thinking company in Oxford that values design as a core component of its strategic vision. As a Lead Product Designer, you'll not only shape the user experience of complex B2B platforms but also have the opportunity to grow and lead a design function within an agile environment. With a strong emphasis on employee development, collaboration, and innovation, this role offers a unique chance to make a significant impact while enjoying a supportive work culture and competitive benefits.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving data warehouses and ETL processes. We want to see your hands-on experience with SQL, Python, and cloud platforms like GCP or AWS. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Expect technical questions that test your analytical abilities. We recommend practising common data engineering scenarios and being ready to discuss how you’ve tackled challenges in past roles.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. We appreciate candidates who take the initiative to express their interest, so don’t hesitate to reach out and remind them why you’re the perfect fit for the team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data warehouses, ETL processes, and cloud platforms like GCP, AWS, and Azure. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to showcase your passion for data engineering and how you can contribute to our mission of revolutionising entertainment with AI. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any relevant projects, don’t hesitate to mention them! Whether it's building data lakes or optimising data storage, we love to see real-world examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Consortia Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Python, and cloud platforms such as GCP, AWS, and Azure. Brush up on your knowledge of data warehousing and ETL processes, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your analytical skills and ability to work under pressure, especially in a fast-paced environment like the one described.
✨Communicate Clearly
Since this role involves collaboration with global teams, practice articulating your thoughts clearly and concisely. Be ready to explain complex data concepts in simple terms, as effective communication is key in remote settings.
✨Understand Compliance Regulations
Familiarise yourself with LGPD and GDPR regulations, as compliance is crucial in handling data. Be prepared to discuss how you’ve ensured data quality and compliance in your past projects, demonstrating your awareness of industry standards.
