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- Tasks: Join a dynamic team to manage ETL, build data pipelines, and enhance data infrastructure.
- Company: Work with a leading data-rich organisation serving over 3 million customers in the UK.
- Benefits: Enjoy flexible working with just two days in the office each month and great corporate perks.
- Why this job: Be part of a collaborative culture focused on innovation and real-time data projects.
- Qualifications: Strong degree in computer science and excellent Python coding skills required.
- Other info: Experience with tools like Spark and AWS is highly desirable.
The predicted salary is between 43200 - 72000 £ per year.
Xcede are delighted to be working with an incredibly data-rich organisation with over 3 million customers in the UK using their products. The company have a very established Data division headed up by a well-regarded CDO who comes from a ‘hands on’ Data Science background. The Data Unit is filled with experienced Data Scientists, Analysts, Machine Learning Engineers, LLM specialists, and Data Engineers.
We’re now actively recruiting for another Senior Data Engineer to join their team. The perfect Senior Data Engineer will love building great Software as much as they do exploring & managing data. The company adhere to Software Engineering best practices and will expect any new joiners to do the same. Alongside the huge swathe of batch data that they work with, the team also have a clear business opportunity to work on real-time / streaming projects.
Responsibilities- Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives.
- Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards.
- Deploy and manage products using CI/CD best practices.
- Work in partnership with Analytical stakeholders from a huge variety of business projects and help to diagnose issues.
- Ideally a strong degree in computer science or a relevant area.
- Excellent coding skills specifically in Python.
- Very desirable commercial technical experience with tools such as Spark, Databricks, Airflow, Docker etc.
- Commercial Containerisation & Infrastructure as code experience.
- Previous work in a CI/CD environment.
- AWS is the preferred cloud platform - Azure and/or GCP will be considered.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Senior Data Engineer (Surrey) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Surrey)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Spark, Databricks, and Airflow. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in similar roles within the company. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with CI/CD practices and how you've implemented them in previous roles. Being able to articulate your approach to deploying and managing products will demonstrate your alignment with the company's engineering standards.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of how you've diagnosed and resolved data-related issues in past projects. This will highlight your ability to work collaboratively with analytical stakeholders, a key aspect of the role.
We think you need these skills to ace Senior Data Engineer (Surrey)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with ETL processes, pipeline building, and any tools mentioned in the job description like Python, Spark, and Docker. Use specific examples to demonstrate your skills.
Craft a Strong Cover Letter: Write a cover letter that not only expresses your interest in the Senior Data Engineer position but also showcases your understanding of the company's data initiatives. Mention how your background aligns with their needs and your enthusiasm for working on real-time data projects.
Showcase Relevant Projects: If you have worked on projects involving CI/CD practices or cloud platforms like AWS, Azure, or GCP, be sure to include these in your application. Highlighting specific achievements can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills, especially in Python. Bring examples of your previous work with tools like Spark, Databricks, and Airflow to demonstrate your hands-on experience.
✨Understand the Company’s Data Needs
Research the company’s data infrastructure and their current projects. Be ready to discuss how you can contribute to their ETL processes and real-time data initiatives.
✨Emphasise CI/CD Experience
Since the role involves deploying products using CI/CD best practices, be sure to highlight your experience in this area. Discuss specific tools you've used and how they improved your workflow.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to diagnose issues in data pipelines or infrastructure. Think of examples from your past experiences where you successfully resolved similar challenges.
