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- Tasks: Design and build cloud-based data solutions with scalable pipelines.
- Company: Leading digital consultancy in the UK with a supportive culture.
- Benefits: Competitive benefits, continuous development, and a collaborative work environment.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: Strong experience in data engineering, ETL processes, SQL, and Python.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital consultancy in the UK is looking for a Senior Data Engineer to design and build cloud-based data solutions. This role involves developing scalable data pipelines, collaborating with multidisciplinary teams, and utilizing AWS services like S3 and EC2.
Candidates should have strong experience in data engineering, proficiency in ETL processes, and excellent skills in SQL and Python.
The company offers a supportive work environment, continuous development opportunities, and competitive benefits.
Senior Data Engineer - Cloud Pipelines (AWS, Airflow, Python) in Godalming employer: Triad Group Plc
Contact Detail:
Triad Group Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Cloud Pipelines (AWS, Airflow, Python) in Godalming
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Airflow, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss your experience with ETL processes and SQL. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer - Cloud Pipelines (AWS, Airflow, Python) in Godalming
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Airflow, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your data engineering projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Be specific about your experience with ETL processes and scalable data pipelines.
Showcase Your Collaboration Skills: Since this role involves working with multidisciplinary teams, make sure to mention any relevant teamwork experiences. We love candidates who can communicate effectively and work well with others!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Triad Group Plc
✨Know Your Tech Inside Out
Make sure you brush up on your AWS services, especially S3 and EC2. Be ready to discuss how you've used these tools in past projects, and think of specific examples where you designed scalable data pipelines or implemented ETL processes.
✨Showcase Your Collaboration Skills
Since this role involves working with multidisciplinary teams, prepare to talk about your experience collaborating with others. Think of instances where you successfully worked with different departments or stakeholders to achieve a common goal.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to tackle some technical questions or case studies during the interview. Practice explaining your thought process when faced with challenges in data engineering, particularly in Python and SQL, as this will showcase your analytical skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data projects, team dynamics, or opportunities for professional development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
