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- Tasks: Join a team to enhance data engineering practices and mentor others.
- Company: Work with a leading grocery e-commerce client in the UK.
- Benefits: Enjoy a hybrid work model and competitive pay of £650/day.
- Why this job: Be part of a dynamic team driving innovation in data technology.
- Qualifications: 3+ years as a data engineer with skills in Python and SQL.
- Other info: Initial 6-month contract with potential for extension.
The predicted salary is between 46800 - 78000 £ per year.
Currently working with a client in the grocery e-commerce industry who is looking to build a team of data engineers with an opportunity to join a market leader within the UK, you will be joining on an initial 6 month contract with a view to extend further!
Responsibilities
- Working collaboratively to help identify data engineering best practices and promote their adoption; answering technical and procedural questions from less experienced team members; teaching improved processes; mentoring team members.
- Work closely with the solution architects to ensure that designs are practical, workable, and deliverable.
- Championing efficiency and pragmatism throughout the development lifecycle.
- Researching and experimenting with emerging data technologies and industry trends with a view to bringing business value through early adoption.
- Encouraging and driving the use of CI/CD so that solutions are deployable through a transparent and repeatable automated build and release pipelines.
Requirements and skills
- Previous experience as a data engineer for 3+ years
- Technical expertise with data models, data mining, and segmentation techniques
- Knowledge of Python programming language
- Hands-on experience with SQL database design
If this sounds like you then please do reach out and let's have a chat!
Senior Data Engineer (London Area) employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (London Area)
✨Tip Number 1
Make sure to brush up on your Python skills, as this role specifically requires expertise in the language. Consider working on a personal project or contributing to open-source projects that showcase your ability to write clean and efficient code.
✨Tip Number 2
Familiarise yourself with the latest trends in data engineering, especially around CI/CD practices. Being able to discuss recent advancements or tools you've experimented with can set you apart during discussions with our team.
✨Tip Number 3
Network with current data engineers or professionals in the grocery e-commerce sector. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals within our company.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills during interviews. Think of specific examples where you've successfully implemented data models or improved processes, as these will resonate well with our hiring team.
We think you need these skills to ace Senior Data Engineer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a data engineer, particularly focusing on your expertise in Python, SQL, and any cloud technologies you've worked with. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the grocery e-commerce industry. Mention how your previous experience aligns with the responsibilities outlined in the job description, especially your ability to mentor and promote best practices.
Showcase Relevant Projects: If you have worked on projects that involved data engineering best practices, CI/CD processes, or emerging data technologies, be sure to include these in your application. Highlight your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Arrows
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data engineering best practices. Bring examples of past projects where you successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Emphasise Collaboration
Since the role involves working closely with solution architects and mentoring team members, highlight your ability to work collaboratively. Share specific instances where you contributed to a team's success or helped others improve their skills.
✨Discuss Emerging Technologies
Research current trends in data engineering and be ready to discuss how you've experimented with new technologies. Showing that you're proactive about learning and adopting new tools can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex data challenges, as this will showcase your analytical skills and pragmatism in real-world scenarios.
