Senior Data Architect/Engineer
hace 14 horas
source : France Fintech

About Bling

Bling is a mobile app that instantly lends our users up to 100 for one month to do whatever they want. Every month, we help thousands of people to make ends meet, avoid bank overdraft fees, and to have better visibility on their expenses.

All this by keeping a fresh, cool and a ethical approach.

Our offices are based in Paris and Barcelona.

Job description

From scoring users to anticipating their needs and protecting their transaction history, data is at the heart of Bling. We advance cash like no one else does : low amounts for very short periods of time, instantly.

This entails aggregating data from various providers and our internal micro-services, enriching it and transforming it into predictive scores - among others.

We are looking for a lead Data Architect / Engineer that will design, implement and maintain our data infrastructure. This role involves analysis, procedures and operations.

As a Data Data Architect / Engineer, youll be responsible for defining and implement our data pipeline as well as deploying models to production.

If you think that data can foster fairer finance, come and help us do it!

You will report to the Head of Data and work closely with the Tech team.


  • Ensure the quality, security, availability and scalability of our data.
  • Propose and implement the optimal data architecture jointly with the CTO.
  • Build and maintain data pipelines.
  • Define and apply data governance : data quality, testing, documentation, coding best practises and peer reviews.
  • What we offer

  • Competitive salary based on your competences.
  • Based in Barcelona. Partial remote allowed.
  • Flexible working hours.
  • Flexible holidays (25 days).
  • Reasons to join us

  • Paris & Barcelona offices.
  • Being part of one of the fastest-growing European Fintech.
  • Open-minded culture that appreciates differences.
  • Feedback driven, supportive & curious team with DIY mindset.
  • Team that seizes every opportunity to celebrate success.
  • Preferred Experience

  • 3+ years of experience in data engineering, with a strong knowledge of Python and Spark
  • Professional experience building complex ETLs / data pipelines
  • Working experience with Amazon Web Services / Google Cloud Platform
  • Experience with task orchestration tools (Airflow, Luigi)
  • Cloud Data Warehousing experience in Redshift or another distributed platform (e.g. Hadoop + Hive / Presto, BigQuery or Snowflake.)
  • Experience in Data Streaming (Spark, Flume, Kafka, Kinesis, Flink, etc.)
  • Import and transform data from many third-party APIs
  • Strong analytical and problem-solving skills
  • Fluency in English.
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