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

Role overview

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 ) in combination with our food hall market business ).

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.

Skills and Experience

We're looking for someone who:

Has 5+ years of experience as a Data Engineer or a similar role.

Understands the fundamentals of data warehousing, and ETL/ELT processes

Experience with SQL and has experience with BigQuery Standard SQL.

Proficiency in gathering and understand requirements and to translate them into appropriate data ingestion pipelines and/or database models, to lead deliverable outcomes.

Experience in cloud computing concepts and GCP services (Google Cloud Platform) - especially BigQuery, Cloud Composer (Airflow)

Proficient in scripting languages like Python (experience with Cloud Functions)

Helps create a collaborative environment and communicates clearly.

Has a burning passion for data and a hunger to learn new tech.

Mentoring and coaching junior members of staff.

Experience with data governance and security best practices

Experience with cloud-based workflow orchestration tools (e.g., Airflow, Dataflow)

Experience with data visualization tools (e.g., Looker, Tableau)

What we look for in a candidate

Time Out is a company filled with individuals as diverse as the cities we are in and cover. At the same time there are common characteristics and values we all share. To join our team, you’ll want to…

Be commercially astute

Either have experience at or want to dive headfirst into a fast-paced transformative company in pursuit of excellence

Think globally

Have excellent communication and relationship building skills

Have a high sense of ownership, urgency and drive

Be a team player