Data Engineer, Product Analytics

Meta; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading technology company in the United Kingdom seeks an experienced Data Engineer to shape data solutions across its products, collaborating with various teams to solve complex challenges. The role demands strong SQL and ETL skills, alongside experience in programming languages like Python. The ideal candidate holds a Bachelor's degree in Computer Science or a related field. The position offers opportunities for professional growth in a dynamic setting.

Qualifications

• 2+ years of experience working with data in roles like data analyst, data scientist, or data engineer.
• Strong experience with SQL, ETL processes, and data modeling.
• Proficiency in at least one programming language such as Python or C++.

Responsibilities

• Collaborate with engineers and product managers to meet data needs.
• Design and launch sophisticated data models and visualizations.
• Manage Service Level Agreements for data sets.
• Solve data integration challenges using ETL patterns.
• Optimize existing processes in production.

Skills

Data modeling

SQL

ETL

Python

Data visualization

Education

Bachelor's degree in Computer Science or relevant technical field

Master's or Ph.D in a STEM field

Job description

Overview

Summary: 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/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. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way

• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

• Define and manage Service Level Agreements for all data sets in allocated areas of ownership

• Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

• Improve logging

• 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

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

2. 2+ 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

3. 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications

1. Master's or Ph.D degree in a STEM field

Industry: Internet