Senior Data Engineer

at  Time Out Group Plc

Title: Senior Data Engineer
Location: United Kingdom, Remote (at least 2 days in our London office per month)
Department: Product & Engineering
Reporting to: Scrum Master

DO YOU LIKE TO DISCOVER THE WORLD’S COOLEST CITIES? DO YOU LOVE WORKING WITH MASSIVE DATASETS AND BUILDING SOLUTIONS THAT UNLOCK VALUABLE INSIGHTS? ARE YOU PASSIONATE ABOUT CLOUD TECHNOLOGIES AND DESIGNING EFFICIENT DATA PIPELINES? IF SO, THEN WE WANT TO HEAR FROM YOU!

We are seeking a talented Data Engineer to join our team and play a key role in building and maintaining our data infrastructure on Google Cloud Platform (GCP) with a focus on BigQuery to unlock the insights about the coolest cities in the world (timeout.com) in combination with our food hall market business (timeoutmarket.com).
The perfect candidate does not exist. If you have experience in some of these requirements and are motivated to learn the rest please consider applying, we would love to support a continuous learning mentality.

RESPONSIBILITIES

• Technical responsibilities of all stages of the software development life cycle.

• Applied teams based standards for programming tools and techniques and advise on their application.

• Design, build, and deploy data pipelines on GCP, so data flows seamlessly from databases, cloud storage, and streaming services into BigQuery. Think of it as building data highways!
• Craft and optimize data models that make storing, retrieving, and analyzing data in BigQuery a breeze. Picture yourself as the data architect, shaping how information is organized.
• Leverage BigQuery’s built-in features (think SQL and materialized views) to transform and summarize data like a boss.
• Put your problem-solving skills to the test by developing automated checks to ensure your data is always on point. Data consistency is key!
• Collaborate with product managers, data analysts, and other data enthusiasts to understand their needs and design solutions that make them cheer.
• Dive deep into code reviews, tackle technical challenges head-on, and continually refine your data pipelines for peak performance.