Data Engineer II - Decision Analytics

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Join to apply for the Data Engineer II - Decision Analytics role at American Express Global Travel & Corporate Payments.

Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.

As a member of Amex GBT’s Data Enablement Engineering group, you will tackle the organization’s most sophisticated and impactful challenges using cutting-edge data technologies. Working in an agile development mindset, you will contribute to our cloud-based data platform and make sure it scales dynamically and operates reliably. Internal and external clients will use the products you develop to gain in-depth insights into travel programs, financials, and operations. Every day, data scientists will leverage the platform you build to train and release machine learning models.

What You’ll Do

  • Writing code – we use Python, Java, Scala, Spark, and SQL. We welcome programmers of all backgrounds as long as you focus on data engineering solutions and quality.
  • Foster and strengthen a deep understanding of vast data sources in the cloud and know precisely how, when, and which data to use to solve particular business problems.
  • Implement and support critical streams and datasets that support our business, clients, and data scientists.
  • Be responsible for solution design and implementation, including data modelling, pipelining, transformation, and orchestration.
  • Work with product owners, operations and finance teams, and other data engineers to implement features benefitting Amex GBT and its clients.
  • Implement best practices like infrastructure as code, automated testing, and code reviews.

Optional But Desirable Skills

  • Experience with full-stack development using JavaScript, React, Java, or Flask for building small scale applications or internal tools.
  • Ability to develop and maintain data-centric applications like chatbots or interactive data dashboards, demonstrating integration of front-end and back-end components.
  • Familiarity with designing user interfaces and APIs that promote data integrations.

Who You Are

  • Bachelor’s/Master’s Degree in Computer science, mathematics, statistics, economics, or other quantitative fields.
  • 2+ years of experience as a Software Development Engineer or in a similar role.
  • Experience with Agile, DevOps, and CICD frameworks in cloud-based environments.
  • Demonstrable experience with any programming or scripting language (Python/Java/Scala/Ruby etc.).
  • Experience using cloud technologies such as EMR, Lambda, EC2, and data pipelines.
  • Exposure to at least one dashboarding tool like Tableau, Power BI, MicroStrategy, etc.
  • Experience with technologies such as Airflow, Jenkins, Snowflake, and Kinesis.

No relocation and no sponsorships provided.

Location: London, United Kingdom

The #TeamGBT Experience

  • Flexible benefits tailored to each country, including health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources.
  • Travel perks: deals from major travel providers on flights, hotels, cruises, and car rentals.
  • Access to over 20,000 courses on our learning platform, leadership courses, and internal candidates first.
  • Commitment to Inclusion; employee resource groups connect colleagues around identities and initiatives.
  • And much more!

All applicants will receive equal consideration for employment without regard to age, sex, gender, pregnancy, race, color, citizenship, religion, disability, or any other protected characteristic. For disclosures and accommodations, see our LA County Fair Chance Ordinance disclosures and Amex GBT Recruitment Privacy Statement. If you don’t meet every requirement, apply anyway — you may be exactly what we’re looking for.

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Location:
London, England, United Kingdom
Salary:
£125,000 - £150,000
Job Type:
FullTime
Category:
IT & Technology

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