Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data solutions for Meta's diverse applications.
- Company: Join Meta, a leader in tech innovation and data engineering.
- Benefits: Competitive salary, career growth, and a vibrant work culture.
- Why this job: Shape experiences for billions while tackling exciting data challenges.
- Qualifications: 4+ years in data roles with strong SQL and programming skills.
- Other info: Collaborative environment with opportunities to mentor and learn.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design and build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Responsibilities
- Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
- Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.
- Define and manage Service Level Agreements for all data sets in allocated areas of ownership.
- Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
- Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
- Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
- Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
- Influence product and cross-functional teams to identify data opportunities to drive impact.
- Mentor team members by giving/receiving actionable feedback.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
- 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions.
- 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.).
Preferred Qualifications
- Master's or Ph.D degree in a STEM field.
Data Engineer, Product Analytics in London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Product Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Meta or in the data engineering field. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your data engineering expertise. Whether it's a cool ETL pipeline or a data visualisation, let your work speak for itself.
✨Tip Number 3
Ace the interview prep! Research common data engineering interview questions and practice your answers. We want to be ready to showcase our problem-solving skills and technical know-how.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer, Product Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with SQL, ETL, and any programming languages you've used. We want to see how you can contribute to our data challenges!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for us. Don’t forget to mention specific projects or achievements that showcase your skills.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially those that involve data modelling and visualisation.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our team!
How to prepare for a job interview at Meta
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description. Brush up on your SQL, ETL processes, and any programming languages like Python or Scala. Being able to discuss specific projects where you've used these skills will show you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where you’ve optimised data pipelines or resolved data quality issues. This will demonstrate your analytical mindset and ability to think critically, which is crucial for a Data Engineer role.
✨Collaborate Like a Pro
Since this role involves working closely with engineers, product managers, and data scientists, be ready to talk about your experience in cross-functional teams. Highlight instances where you’ve successfully collaborated to achieve a common goal, as this shows you can communicate effectively and work well with others.
✨Understand the Bigger Picture
Familiarise yourself with Meta’s products and how data impacts user experience and business strategy. Being able to connect your technical skills to the company’s goals will set you apart. Show that you’re not just a data whiz, but someone who understands how data drives decisions at a large scale.
