At a Glance
- Tasks: Lead data re-architecture projects and build scalable data pipelines in AWS.
- Company: Join a cutting-edge Cybersecurity tech company with a focus on innovation.
- Benefits: Enjoy competitive salary, private medical care, generous holiday, and free daily lunches.
- Other info: Collaborative culture with continuous learning and excellent career growth opportunities.
- Why this job: Make impactful decisions that empower the business and enhance your career.
- Qualifications: Experience in data engineering, SQL, Python, and cloud environments like AWS.
The predicted salary is between 81000 - 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
Client Server is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive salaries, comprehensive benefits including life assurance and a wellness package, and the flexibility to work from home, employees are empowered to thrive both personally and professionally. Join a highly profitable Hedge Fund where your skills will be valued, and you will have ample opportunities for career progression in a senior role.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer Python AWS in England
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We think you need these skills to ace Senior Data Engineer Python AWS in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Client Server. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
