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- Tasks: Lead data re-architecture projects and build scalable data pipelines in AWS.
- Company: Join a cutting-edge Cybersecurity tech company with a collaborative culture.
- Benefits: Competitive salary up to £90k, private medical care, and generous holiday allowance.
- Other info: Enjoy free lunches, onsite gym, and a culture of continual learning.
- Why this job: Make impactful decisions that empower the entire business while enjoying a vibrant work environment.
- Qualifications: Experience in data engineering, SQL, Python, and cloud-based environments.
The predicted salary is between 90000 - 90000 £ per year.
Are you a data technologist looking for an opportunity to progress your career in a hands-on, impactful role with lots of ownership? You could be joining a Cybersecurity technology company and enjoying a huge range of perks and benefits from continual learning and self-development opportunities through to health and well-being, enhanced paternity packages, generous holiday allowance, inclusive social events and much more.
As a Senior Data Engineer you'll lead a significant data re-architecture project, with the autonomy to make the critical data architecture decisions, laying the foundations that will empower the entire business, from product and analytics through to customer intelligence and commercial growth. You’ll collaborate with the business and Data Analysts to expand on and re-engineer the data pipelines, building new scalable services within a modern cloud based (AWS) environment. There's a culture of software engineering excellence, with a collaborative team environment that values knowledge sharing and continual improvement.
Location: You’ll join colleagues in amazing offices in Cheshire five days a week with a wide range of facilities and an array of perks including:
- Free lunch daily catered for by the onsite chef
- A range of afternoon treats and barista style coffee
- Onsite gym with trainer led classes including karate, yoga and sound bath, shower facilities and of course, all the latest kit to work with
About you:
- You have experience in a similar, senior Data Engineer position
- You have experience of re-architecting / engineering data pipelines and services
- You have an indepth knowledge of SQL and Python
- You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift
- You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices
- You're collaborative and pragmatic with great communication skills
What's in it for you: As a Senior Data Engineer you will earn a highly competitive package including:
- Salary to £90k
- Life Assurance and Income Protection
- Enhanced maternity / paternity packages
- Private Medical care for you and your family including same day GP appointments and prescriptions
- 25 days holiday
- Charitable donations matching scheme and much more
Apply now to find out more about this Senior Data Engineer (Python AWS SQL DBT) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology, Data Infrastructure and Analytics, Data Security Software Products, and Software Development
Senior Data Engineer Python AWS in England employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer Python AWS in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals that could boost your chances.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, and data pipelines. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your experience with re-architecting data pipelines and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer Python AWS in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, AWS, and data pipelines. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. We love seeing candidates who are excited about the role and our company.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We’re interested in your hands-on experience with tools like DBT, AWS Glue, and Apache Spark. Real-world examples can really set you apart.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python, SQL, and AWS. Brush up on your knowledge of DBT, AWS Glue, and data pipeline engineering to demonstrate your expertise during the interview.
✨Showcase Your Projects
Prepare to discuss past projects where you've re-architected data pipelines or built scalable services. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show your hands-on experience and problem-solving skills.
✨Emphasise Collaboration
Since the role involves working closely with Data Analysts and other teams, highlight your collaborative experiences. Share examples of how you’ve worked in a team environment, contributed to knowledge sharing, and improved processes together.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture goals, team dynamics, and the tools they use. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.