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- Tasks: Design and build large-scale data solutions for Meta's platforms.
- Company: Join Meta, a leader in tech innovation and user experience.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Why this job: Shape the future of products used by billions globally.
- Qualifications: Experience in data roles and strong analytical skills required.
- Other info: Collaborative environment with mentorship and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As a Data Engineer at Meta, you will shape the future of people‑facing and business‑facing products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. Your technical and analytical skills will be used to design and build some of the world’s largest data sets, helping craft experiences for billions of users and millions of businesses worldwide. You will collaborate with software engineering, data science, and product management teams to design and build scalable data solutions that optimize growth, strategy, and user experience for Meta’s 3 billion+ users and internal community. You will lead the identification and resolution of large‑scale data challenges, driving innovation and skill development in a world‑class data engineering community.
Responsibilities
- Conceptualize and own the data architecture for multiple large‑scale projects, evaluating design and operational cost‑benefit tradeoffs.
- Create and contribute to frameworks that improve logging data efficacy, working with data infrastructure to triage issues and resolve them.
- Collaborate with engineers, product managers, and data scientists to understand data needs and represent key insights meaningfully.
- Define and manage Service Level Agreements for all owned data sets.
- Determine and implement security models based on privacy requirements, confirm safeguards, address data quality issues and evolve governance processes.
- Design, build, and launch sophisticated data models and visualizations that support multiple use cases and products.
- Solve challenging data integration problems using optimal ETL patterns, frameworks, and query techniques from structured and unstructured sources.
- Own existing production processes, 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 that drive impact.
- Mentor team members by giving and receiving actionable feedback.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or related technical field (or equivalent).
- 4+ years of experience in roles involving working with data (data analyst, data scientist, data engineer, etc.).
- 2+ years with a Ph.D. (or equivalent) with SQL, ETL, data modeling, and at least one programming language (Python, C++, C#, Scala, etc.).
- Proven experience with data security, governance, and quality.
- Strong analytical and problem‑solving skills.
- Excellent written and verbal communication; ability to convey data‑driven stories.
Preferred Qualifications
- Master’s or Ph.D. degree in a STEM field.
- Experience designing and building optimal data artifacts (datasets, visualizations) at very large scale.
- Demonstrated ability to influence product decisions through data insights.
- Background in leading or mentoring engineering teams.
Data Engineer in City of Westminster employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Meta on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving large datasets or innovative solutions. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL, ETL processes, and data modelling. Use platforms like LeetCode or HackerRank to sharpen your coding skills and tackle common data engineering problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Meta. Don’t miss out on this opportunity!
We think you need these skills to ace Data Engineer in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role at Meta. Highlight your experience with data architecture, SQL, and any relevant programming languages. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your passion for data engineering and how you've tackled large-scale data challenges in the past. Be sure to mention any collaborative projects with engineers or product managers.
Showcase Your Projects: If you've worked on any impressive data projects, make sure to include them in your application. Whether it's a complex ETL process or a cool data visualisation, we love seeing real examples of your work that demonstrate your skills.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
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, like SQL and ETL processes. Brush up on your programming skills in Python or any other relevant language, as you might be asked to solve technical problems on the spot.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled large-scale data challenges. Think about how you identified issues, the solutions you implemented, and the impact they had. This will demonstrate your analytical prowess and ability to drive innovation.
✨Communicate Clearly and Effectively
Since you'll need to collaborate with various teams, practice conveying complex data insights in a simple manner. Be ready to explain your thought process and how your data-driven stories can influence product decisions.
✨Be Ready to Discuss Security and Governance
Given the importance of data security and governance at Meta, prepare to talk about your experience in these areas. Have examples ready that showcase how you've implemented security models and addressed data quality issues in past roles.