Senior Data Engineer

Vietnam Office

what3words

Every 3 metre square of the world has been given a unique combination of three words. Used for e-commerce and delivery, navigation, emergencies and more.

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Our mission is to become the global standard for addressing. Street addresses weren’t designed for 2024. They aren’t accurate enough to specify building entrances, and they don’t exist for parks, rural areas and many parts of the world. This makes it hard to find places and causes problems and inefficiencies on a global scale.

That’s why we created what3words. We divided the world into 3m squares and gave each square a unique combination of three words. It’s the easiest way to find and share precise locations.

Over the last year, what3words has been used in 193 countries, and our monthly active users continue to grow at an impressive pace. Our tech is used by emergency services, delivery companies, eCommerce businesses, ride-hailing apps and NGOs, and is integrated into the navigation systems of millions of cars around the world.

The role:

Based in Vietnam out of our centrally located Ho Chi Minh City office, you’ll be joining our Data team within our fast-growing tech team. Reporting to the Head of Data & Analytics, the senior data engineer will own the design, building, and maintenance of key parts of the data architecture and will have the opportunity to lead strategic projects that look to deliver value to the business in the future.

As a Senior Data Engineer, you will have hands-on experience of the different elements of the data engineering process and you will be great at building the business context needed to inform technical decision making.

Responsibilities:

  • To be the technical leader / decision maker on data architectural tools and technologies

  • Ownership of the Data Warehouse from ingestion of data sources to storage and serving

  • Own the ideation and execution of architectural principles, guidelines and technology standards of ETL and data pipelines

  • Work with analysts to ensure the data modelling is suitable for reporting needs

  • Managing our GCP and Airflow instances

  • Working with Analytics, Back-end, Front-end, DevOps & QA engineers to ensure that the data events are well-designed and correctly integrated to the data pipeline services

  • Conducts/leads and implements proof of concepts to prove new technologies in support of architecture vision and guiding principles

  • Collaborate with Data Engineers and Analysts to develop views, sources and aggregations of data

  • Review SQL and Python code from across the Data team to help maintain data and code integrity


Requirements:

  • Undergraduate degree in any quantitative field (physics, data science, computer science, engineering, business science - anything with a maths or analysis focus).

  • 5+ years in Data Engineering roles

  • Excellent English communication skills


Essential Skills:

  • Strong knowledge and experience of ETL and other aspects of data processing pipelines and the data architecture.

  • Strong knowledge and experience of BigQuery, REST APIs, data and model storage formats

  • Strong experience with modular Python and Airflow

  • Experience implementing event streaming with any of the platforms e.g. Kafka, Kinesis, SQS/SNS

  • Experience building analyst-ready data models. Experience with consumer app data would be a bonus

  • Solid SQL/query optimisation skills

  • Unit and integration testing

  • Experience of distributed/automated workflows and technologies (Docker, K8S, Spark)

Bonus Skills:

  • Knowledge of a range of third party data sources and APIs (eg, GA, Matomo, Mixpanel, Facebook, LinkedIn) 

  • Some experience working with dbt

Our Tech Stack:

BigQuery, Python, Airflow, dbt, Kafka, Kubernetes, GCP 

The role is based in our centrally located HCMC office. While you can work from the office five days a week if preferred, our Engineering team can choose to work up to two days a week from home. We also offer a six-week remote-work allowance; for up to six weeks a year, you can work from anywhere in the world (as long as you’ve got great WiFi and are happy to work with your main office timezone).

Equality, diversity and inclusion at what3words

Our mission is to help everyone talk about everywhere, and we believe diverse perspectives make for a better company and better products too. We strongly encourage applications from underrepresented groups and are committed to diversity, equity and inclusion in our hiring processes and company culture.

Benefits

We offer the following benefits to all permanent employees of what3words:

  • Competitive salary

  •  Flexible working

  •  6 week remote working (work from anywhere) policy

  •  25 days holiday: plus the option to buy more!

  •  Share options

  •  Private health insurance

  •  Wellbeing Days

  •  Generous parental leave policies

  •  Family friendly policies

  •  Employee Assistance Programme (EAP)

  •  Lunch & learn sessions

  •  Team social budget

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Category: Engineering Jobs

Tags: Airflow APIs Architecture BigQuery Computer Science Data pipelines Data warehouse dbt DevOps Docker E-commerce Engineering ETL GCP Kafka Kinesis Kubernetes Physics Pipelines Python Spark SQL Streaming Testing

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care Parental leave Salary bonus Team events Wellness

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