Who we are

Worldia is a B2B2C travel platform for tailor-made trips. We enable any partner to tap into the huge potential of individualized travel by combining a powerful technology, a top-quality product curation and a premium customer service.
After having raised 19M€ in 2019, Worldia is scaling with a lot of exciting projects: the roll-out of the new version of the platform, a subsidiary in the US and new business partnerships.

Do you want to join the adventure? Welcome aboard!

Our values

AMBITION // Shoot for the moon
PLEASURE // Spend good time all together
INTEGRITY // Be honest and transparent, always

Missions

At Worldia, our BigQuery Cloud Data Warehouse is our single source of truth. It is used daily by many internal users (sales, financial, operations ..) to make decisions, follow success metrics, create smarter software and content. Our Data Platform has been created from scratch around one year ago and is using a modern data stack :

• GCP : Google BigQuery
• Python 3 (Pandas or Dask)
• Airflow 2
• GitLab CI
• SQL
• Metabase, Hubspot, GA4

As a Senior Data Engineer, you will be a key contributor pairing with our current Data Engineer and you will together maintain and improve the data platform. The Data Engineering team’s main missions are:

• collect and challenge needs from business teams to specify platform requirements
• create pipelines between systems, ensure data quality, accuracy and freshness 
• maintain and enrich the data platform code repository
• provide and maintain the framework to ingest, transform and consolidate data in this data warehouse. Monitor data quality provided to clients closely to avoid regressions and guarantee platform stability
• create reports and business datasets
• build an innovation-leading data platform for the future : serve data-driven business processes, Reliable data quality, sustainability (flexible/maintainable) ...

Some key achievements expected in the first few months from you :

• Understand the different business needs and vision
• Manage recurring business requests in full autonomy : requirements understanding, solution design, code delivery, testing, customer training and support
• Build the data platform team foundations : set-up scrum methodology to provide visibility and predictability on deliveries to customers, organize knowledge and documentations  ...
• Spread Data Platform awareness to help users becoming fully autonomous

 
What would make this job opportunity a great career move for you?

You will be at the foundations of the data team, handling the full data platform scope

You will have full autonomy to grow and build the future of our platform

You will have several different stakeholder giving you visibility on the full company activities

You will work in a dynamic and multi-cultural environment

You are interested in flexible working mode : open to full remote, hybrid on-site/remote. Be reassured: the onboarding process has been redesigned to fit the current full-remote situation and make you feel welcomed !

Lets talk about you

Your expected technical skill to succeed :

• Software engineering related skills (advanced skills in programming languages/scripting : Go, Javascript, R, Java, ...) ideally : Python
• Database architecture (Columnar, Relational database, MPP (redshift, snowflake, teradata, vertica, bigquery)
• Datawarehousing specificity (OLAP, Dims/Facts, Cubes, ....)
• Have Used a reporting tool ideally Metabase (Tableau, Looker, Superset, Google Data Studio, ....)
• Data Quality : Proven exemple of data quality implementation

Will be appreciated, some background on :

• APM or Data testing (Datadog, Kibana ...)
• DevOPS (Gitlab, jenkins)
• Agility methodologies (Scrum, Kanban)
• Web based application experience (data pipelining from webapp)
• Machine learning/ AI interest

Your expected soft skills to convince us :

• Constructive critical thinking, challenge clients' needs positively to ensure a generic and maintainable data platform solution (#NoOverEngineering)
• Customer-oriented mindset : understand daily issues fo Worldia's business people, address their issues the right manner and deliver on time
• Ownership and autonomy : be fully accountable for the platform and the deliveries planned
• Good English Communication skills : synthetical and efficient in communicating with stakeholders
• Meticulousness (details oriented)
• Adaptability : eager to work in a fast growing environment and get out of the confort zone
• Constantly lookout for improvements, for learning (Agile mindset)
  
• Proactive
• Keeping motivation and positivity on long run projects. 

Recruitment process

• A Video-call with Lauriane, Tech Talent Acquisition Manager, to better understand your career plan and your fit for the role at Worldia - 1 hour 

• An interview with Yacine, Data Engineer to explain the position, assess your technical/soft skills and answer your questions - 1 hour

• An interview with Manuel, the VP of engineering to create a strong alignment on what we'll be expected from you and help you project yourself within the team - 1 hour

• A last video-call with our CTO- 30'/1h

We target a 2-3 week long hiring process.