Data Engineer I

Booking.com
Amsterdam, Netherlands
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Amsterdam, Netherlands

Tech stack

Java
Airflow
Amazon Web Services (AWS)
Data analysis
Software Applications
Azure
Cloud Computing
Continuous Integration
Data Validation
Data Control
Data Governance
Data Infrastructure
ETL
Data Security
Data Visualization
Software Debugging
Distributed Systems
Python
Machine Learning
MySQL
Power BI
SQL Databases
Tableau
Workflow Management Systems
Google Cloud Platform
Data Storage Technologies
Snowflake
Grafana
Spark
Kubernetes
Information Technology
Kafka
Streamlit Framework
Data Pipelines
Docker
Programming Languages

Job description

As a Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines, with a special focus on data quality. You will work independently and will also be responsible for making technical decisions within a team while establishing strong relationships with product and Data platform teams within Finance, Fintech and Central tech.

Important Aspects Of The Job Include

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines for the analysts to develop reports and dashboards.

Managing orchestration jobs at scale, debugging and resolving issues and continuously maintaining to support reporting needs

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Setting up data governance and control on data models and ETL workflows owned by the analytics team.

Importing new data tables to the SOx compliant platform with completeness and accuracy checks and setting up monitoring

Providing tools that improve Data Quality company-wide.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Supplying to the growth of Booking.com through interviewing, on-boarding, or other recruitment efforts.

Requirements

We are looking for driven Data Engineers who enjoy solving issues, who initiate solutions and discussions, and who believe that any challenge can be scaled with the right demeanor and tools., Proven experience of 2+ years in the field, using 1 or more programming languages, preferably in Python or Java

  • Experience with building scalable data pipelines in distributed environments with technologies such as Snowflake, AWS, Spark, Kafka, MySQL, and transformation tools like dbt.
  • Strong understanding of AWS, Azure or Google cloud and snowflake architectures
  • Proven experience with SQL, HQL, CQL, etc.
  • Experience with orchestration tools like Airflow, Dagster or something similar
  • Experience deploying and operating AI-powered applications in production using Docker, Kubernetes, cloud infrastructure
  • Knowledgeable about CI/CD pipelines, data modeling, data access, and data storage techniques.
  • Experience with Data monitoring/observability tools, and strong debugging/troubleshooting skills.
  • Experience of working on systems on a large scale.
  • Experience with BI and data visualization tools like Streamlit, Tableau, Power BI, etc
  • Familiarity with SOx compliance and data governance
  • Good understanding of basic analytics and machine learning concepts.
  • Preferably a university degree in Computer Science.
  • Excellent communication, written and spoken.

Benefits & conditions

Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

  • Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
  • Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
  • Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Inclusion at Booking.com:

Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

About the company

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world., In the Payments Accounting Analytics team our mission is to build and deliver accurate Financial Close metrics supplemented with actionable data insights. One of the foundational tasks to deliver this is to build and maintain optimal data models and ETL flows to enable data analysts and data scientists .

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