At a Glance
- Tasks: Design and build robust data pipelines for a modern data platform.
- Company: WeAreTechWomen, a forward-thinking tech organisation in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and performance.
- Why this job: Join a dynamic team and make an impact in the AI and data space.
- Qualifications: Degree in a relevant field with strong programming skills in Python or Java.
The predicted salary is between 60000 - 80000 € per year.
WeAreTechWomen is looking for a Data Engineer to join the Lakehouse and AI Data Platform team in Greater London. You will design and build robust data pipelines, ensuring data quality and performance across the firm's modern data platform.
The ideal candidate holds a degree in a relevant field and has strong programming skills in Python or Java, as well as proficiency in SQL. The role requires collaboration with engineering teams and data consumers to deliver reliable data solutions.
Data Engineer - Lakehouse & AI Platform (London) employer: WeAreTechWomen
WeAreTechWomen is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Data Engineers to thrive. Located in the vibrant Greater London area, employees benefit from a dynamic environment that encourages professional growth through continuous learning opportunities and exposure to cutting-edge technologies. With a strong commitment to diversity and inclusion, WeAreTechWomen empowers its team members to contribute meaningfully while enjoying a supportive workplace that values their contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Lakehouse & AI Platform (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 data pipelines and projects. This is your chance to demonstrate your programming prowess in Python or Java and your SQL skills. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've collaborated with engineering teams in the past. Practice common interview questions and think about how you can showcase your problem-solving abilities.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Data Engineer - Lakehouse & AI Platform (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your programming skills in Python or Java and your SQL proficiency. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our Lakehouse and AI Data Platform team. Keep it engaging and personal.
Showcase Collaboration Skills:Since this role involves working with engineering teams and data consumers, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Stack
Make sure you’re well-versed in Python or Java, as well as SQL. Brush up on your programming skills and be ready to discuss specific projects where you've used these languages to build data pipelines. This will show that you can hit the ground running.
✨Understand Data Quality
Familiarise yourself with concepts around data quality and performance. Be prepared to talk about how you’ve ensured data integrity in past roles. Sharing examples of how you tackled data issues will demonstrate your problem-solving skills.
✨Collaboration is Key
Since the role involves working with engineering teams and data consumers, think of examples where you successfully collaborated on projects. Highlight your communication skills and how you’ve managed to bridge gaps between technical and non-technical stakeholders.
✨Ask Insightful Questions
Prepare some thoughtful questions about the Lakehouse and AI Data Platform team. Inquire about their current challenges or future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
